CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: supplier’s reliability</title> <meta name="description" content="Search results for: supplier’s reliability"> <meta name="keywords" content="supplier’s reliability"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="supplier’s reliability" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="supplier’s reliability"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2139</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: supplier’s reliability</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2139</span> Supplier Selection by Considering Cost and Reliability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20-H.%20Yang">K. -H. Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection problem is one of the important issues of supply chain problems. Two categories of methodologies include qualitative and quantitative approaches which can be applied to supplier selection problems. However, due to the complexities of the problem and lacking of reliable and quantitative data, qualitative approaches are more than quantitative approaches. This study considers operational cost and supplier’s reliability factor and solves the problem by using a quantitative approach. A mixed integer programming model is the primary analytic tool. Analyses of different scenarios with variable cost and reliability structures show that the effectiveness of this approach to the supplier selection problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mixed%20integer%20programming" title="mixed integer programming">mixed integer programming</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20approach" title=" quantitative approach"> quantitative approach</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability" title=" supplier’s reliability"> supplier’s reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a> </p> <a href="https://publications.waset.org/abstracts/45770/supplier-selection-by-considering-cost-and-reliability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45770.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">384</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2138</span> Supplier Selection by Bi-Objectives Mixed Integer Program Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.-H.%20Yang">K.-H. Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the past, there was a lot of excellent research studies conducted on topics related to supplier selection. Because the considered factors of supplier selection are complicated and difficult to be quantified, most researchers deal supplier selection issues by qualitative approaches. Compared to qualitative approaches, quantitative approaches are less applicable in the real world. This study tried to apply the quantitative approach to study a supplier selection problem with considering operation cost and delivery reliability. By those factors, this study applies Normalized Normal Constraint Method to solve the dual objectives mixed integer program of the supplier selection problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bi-objectives%20MIP" title="bi-objectives MIP">bi-objectives MIP</a>, <a href="https://publications.waset.org/abstracts/search?q=normalized%20normal%20constraint%20method" title=" normalized normal constraint method"> normalized normal constraint method</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20approach" title=" quantitative approach"> quantitative approach</a> </p> <a href="https://publications.waset.org/abstracts/65651/supplier-selection-by-bi-objectives-mixed-integer-program-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65651.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">415</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2137</span> The Effect of Supplier Trust and Top Management Involvement on Supply Chain Risk Management through Buyer-Supplier Relationship</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hotlan%20Siagian">Hotlan Siagian</a>, <a href="https://publications.waset.org/abstracts/search?q=Han%20Tae%20Hee"> Han Tae Hee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to examine the effect of supplier trust and top management involvement on the supply chain risk management through buyer-supplier relationship. The population of the research is 44 Korean companies domiciled in East and Central Java of Indonesia. The respondent consists of a top management level from each company. Data collection used a questionnaire designed with five-item Likert scale. Collected data were analyzed using structural equation modeling (SEM) technique with SmartPLS software version 3.0 to examine the hypotheses. The result revealed that supplier trust has an effect on supply chain risk management, top management involvement affects supply chain risk management, supplier trust influences buyer-supplier relationship, top management involvement affects the buyer-supplier relationship, and buyer-supplier relationship affects supply chain risk management. The last finding is that buyer-supplier relationship empirically mediates the effect of supplier trust and top management involvement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=buyer%20supplier%20relationship" title="buyer supplier relationship">buyer supplier relationship</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20trust" title=" supplier trust"> supplier trust</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20risk%20management" title=" supply chain risk management"> supply chain risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=top%20management%20involvement" title=" top management involvement"> top management involvement</a> </p> <a href="https://publications.waset.org/abstracts/83598/the-effect-of-supplier-trust-and-top-management-involvement-on-supply-chain-risk-management-through-buyer-supplier-relationship" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2136</span> The Value of Audit in Managing Supplier’s Process Improvement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20E.%20Nikoofal">Mohammad E. Nikoofal</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Gumus"> Mehmet Gumus</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Besides the many benefits of outsourcing, firms are still concerned about the lack of critical information regarding both the risk levels and actions of their suppliers that are just a few links away. In this paper, we study the effectiveness of audit for the manufacturer in managing her supplier’s process improvement effort when the supplier is privately informed about his disruption risk and actions. By comparing the agency costs associated with the optimal menu of contracts with and without audit, we completely characterize the value of audit for all the cases from the perspectives of both manufacturer, and supplier as well as total supply chain. First, the analysis of value of audit from the manufacturer’s perspective shows that she can strictly benefit from auditing her supplier’s actions. To the best of our knowledge, this result has not been documented before in the principal-agent literature under a standard setting where the agent is assumed to be risk-neutral and not protected by limited liability constraints. Second, we find that not only the manufacturer but also the supplier can strictly benefit from audit. Third, the audit enables the manufacturer to customize her contract offerings based on the reliability of the supplier. Finally, by analyzing the impact of problem parameters on the value of audit, we identify the conditions under which an audit would be beneficial for individual supply chain parties as well as total supply chain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supply%20disruption" title="supply disruption">supply disruption</a>, <a href="https://publications.waset.org/abstracts/search?q=adverse%20selection" title=" adverse selection"> adverse selection</a>, <a href="https://publications.waset.org/abstracts/search?q=moral%20hazard%20incentives" title=" moral hazard incentives"> moral hazard incentives</a>, <a href="https://publications.waset.org/abstracts/search?q=audit" title=" audit"> audit</a> </p> <a href="https://publications.waset.org/abstracts/16642/the-value-of-audit-in-managing-suppliers-process-improvement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16642.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">462</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2135</span> Supplier Relationship Management and Selection Strategies: A Literature Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Priyesh%20Kumar%20Singh">Priyesh Kumar Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20K.%20Sharma"> S. K. Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20Verma"> Sanjay Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Samuel"> C. Samuel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier Relationship Management (SRM), is strategic planning and managing of all interactions with suppliers to maximize its value. Its application varies from construction industries to healthcare system and investment banks to aviation industries. Several buyer-supplier relationship models, as well as supplier selection and evaluation strategies, have been documented by many academicians and researchers. In this paper, through a comprehensive literature review of over 30 published papers, different theoretical models, empirical data and conclusions were analysed relating to SRM to find its role in establishing better supplier relationships. These journal articles were searched by using the keyword “supplier relationship management,” in databases of Mendeley Library, ProQuest, EBSCO and Google Scholar. This paper reviews the academic literature on different relationship models, supplier evaluation, and selection strategies to discuss its implications in different situations. It also describes the dominant factors responsible for buyer-supplier relationships such trust and power. Finally, conclusions have been drawn which can be validated by various researchers and can help practitioners in industries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supplier%20relationship%20management" title="supplier relationship management">supplier relationship management</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20performance" title=" supplier performance"> supplier performance</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20evaluation" title=" supplier evaluation"> supplier evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection%20strategies" title=" supplier selection strategies"> supplier selection strategies</a> </p> <a href="https://publications.waset.org/abstracts/84122/supplier-relationship-management-and-selection-strategies-a-literature-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84122.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">283</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2134</span> An Integrated DEMATEL-QFD Model for Medical Supplier Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehtap%20Dursun">Mehtap Dursun</a>, <a href="https://publications.waset.org/abstracts/search?q=Zeynep%20%C5%9Eener"> Zeynep Şener</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection is considered as one of the most critical issues encountered by operations and purchasing managers to sharpen the company’s competitive advantage. In this paper, a novel fuzzy multi-criteria group decision making approach integrating quality function deployment (QFD) and decision making trial and evaluation laboratory (DEMATEL) method is proposed for supplier selection. The proposed methodology enables to consider the impacts of inner dependence among supplier assessment criteria. A house of quality (HOQ) which translates purchased product features into supplier assessment criteria is built using the weights obtained by DEMATEL approach to determine the desired levels of supplier assessment criteria. Supplier alternatives are ranked by a distance-based method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DEMATEL" title="DEMATEL">DEMATEL</a>, <a href="https://publications.waset.org/abstracts/search?q=group%20decision%20making" title=" group decision making"> group decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=QFD" title=" QFD"> QFD</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a> </p> <a href="https://publications.waset.org/abstracts/2678/an-integrated-dematel-qfd-model-for-medical-supplier-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2678.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2133</span> Artificial Intelligence Based Comparative Analysis for Supplier Selection in Multi-Echelon Automotive Supply Chains via GEP and ANN Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Esmail%20Seyedi%20Bariran">Seyed Esmail Seyedi Bariran</a>, <a href="https://publications.waset.org/abstracts/search?q=Laysheng%20Ewe"> Laysheng Ewe</a>, <a href="https://publications.waset.org/abstracts/search?q=Amy%20Ling"> Amy Ling</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since supplier selection appears as a vital decision, selecting supplier based on the best and most accurate ways has a lot of importance for enterprises. In this study, a new Artificial Intelligence approach is exerted to remove weaknesses of supplier selection. The paper has three parts. First part is choosing the appropriate criteria for assessing the suppliers’ performance. Next one is collecting the data set based on experts. Afterwards, the data set is divided into two parts, the training data set and the testing data set. By the training data set the best structure of GEP and ANN are selected and to evaluate the power of the mentioned methods the testing data set is used. The result obtained shows that the accuracy of GEP is more than ANN. Moreover, unlike ANN, a mathematical equation is presented by GEP for the supplier selection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title="supplier selection">supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20supply%20chains" title=" automotive supply chains"> automotive supply chains</a>, <a href="https://publications.waset.org/abstracts/search?q=ANN" title=" ANN"> ANN</a>, <a href="https://publications.waset.org/abstracts/search?q=GEP" title=" GEP"> GEP</a> </p> <a href="https://publications.waset.org/abstracts/28503/artificial-intelligence-based-comparative-analysis-for-supplier-selection-in-multi-echelon-automotive-supply-chains-via-gep-and-ann-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28503.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">631</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2132</span> A Fuzzy Decision Making Approach for Supplier Selection in Healthcare Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zeynep%20Sener">Zeynep Sener</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehtap%20Dursun"> Mehtap Dursun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier evaluation and selection is one of the most important components of an effective supply chain management system. Due to the expanding competition in healthcare, selecting the right medical device suppliers offers great potential for increasing quality while decreasing costs. This paper proposes a fuzzy decision making approach for medical supplier selection. A real-world medical device supplier selection problem is presented to illustrate the application of the proposed decision methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20decision%20making" title="fuzzy decision making">fuzzy decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20multiple%20objective%20programming" title=" fuzzy multiple objective programming"> fuzzy multiple objective programming</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20supply%20chain" title=" medical supply chain"> medical supply chain</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a> </p> <a href="https://publications.waset.org/abstracts/2702/a-fuzzy-decision-making-approach-for-supplier-selection-in-healthcare-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2702.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">451</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2131</span> Achieving Supply Chain Competitiveness through Successful Buyer-Supplier Relationships</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamran%20Rashid">Kamran Rashid</a>, <a href="https://publications.waset.org/abstracts/search?q=Tashfeen%20M.%20Azhar"> Tashfeen M. Azhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Asad-ur-Rahman%20Wahla"> Asad-ur-Rahman Wahla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Current research aims to understand the role of successful buyer-supplier relationship in achieving supply chain competitiveness in a developing country perspective. Five hypotheses are developed to test structural model. Survey data is collected from the manufacturing sector of Pakistan. Analysis is conducted using Partial Least Squares (PLS) Structural Equation Modeling (SEM) through Smart PLS version 2.0 M3. Results demonstrate positive impact of effective supplier selection, buyer-supplier engagement, and information sharing capability on success of buyer supplier relationship. This successful buyer supplier relationship drives the supply chain firm financial and market performance. Additional analyses with large sample sizes are required in other developing countries to cross validate the results. Current study provides empirical evidence of the role of successful buyer supplier relationship in achieving supply chain competitiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title="supply chain management">supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=successful%20buyer-supplier%20relationship" title=" successful buyer-supplier relationship"> successful buyer-supplier relationship</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20competitiveness" title=" supply chain competitiveness"> supply chain competitiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20country" title=" developing country"> developing country</a> </p> <a href="https://publications.waset.org/abstracts/21129/achieving-supply-chain-competitiveness-through-successful-buyer-supplier-relationships" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21129.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">660</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2130</span> Combating Supplier-Copycatting With Intellectual Property Agreements</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hubert%20Pun">Hubert Pun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> When a manufacturer outsources the production of a product, it distributes its intellectual property (IP) into a supply chain that it may not be able to fully control. An IP agreement between a manufacturer and its suppliers is a popular solution to address the challenge of supplier-copycatting. The goal of this paper is to examine the impact of copycatting, from both the supplier and third-party firms, and the effectiveness of an IP agreement. Specifically, we use a game-theoretic approach to examine a system where a manufacturer outsources to a supplier. The supplier and a third-party firm decide whether or not to enter the market with copycat products while the manufacturer selects the level of marketing investment. The manufacturer can reduce the threat of supplier-copycatting by signing an IP agreement. We find that the manufacturer can be worse off from signing an IP agreement with its supplier, even if the IP agreement is costless and perfectly enforceable. We show that a manufacturer can deter copycat products through vertical integration and IP agreements and we outline the instances where each method is preferred. Furthermore, we find that the manufacturer may choose not to invest in quality improvements as a copycat deterrence strategy. We show that the supplier can benefit from the manufacturer’s decision to sign an IP agreement and that the supplier and the consumers can benefit from government regulations against copycat products. Our paper demonstrates the strengths and limitations of various copycat deterrence strategies when a supplier and third-party may produce copycat products. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coopetitive%20supply%20chain" title="coopetitive supply chain">coopetitive supply chain</a>, <a href="https://publications.waset.org/abstracts/search?q=copycat" title=" copycat"> copycat</a>, <a href="https://publications.waset.org/abstracts/search?q=government%20regulation" title=" government regulation"> government regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20property" title=" intellectual property"> intellectual property</a> </p> <a href="https://publications.waset.org/abstracts/123127/combating-supplier-copycatting-with-intellectual-property-agreements" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123127.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2129</span> The Impact of Governance Criteria in the Supplier Selection Process of Large German Companies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christoph%20K%C3%B6ster">Christoph Köster</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection is one of the key challenges in supply chain management and can be considered a multi-criteria decision-making (MCDM) problem. In the 1960s, it evolved from considering only economic criteria, such as price, quality, and performance, to including environmental and social criteria nowadays. Although receiving considerable attention from scholars and practitioners over the past decades, existing research has not considered governance criteria so far. This is, however, surprising, as ESG (environmental, social, and governance) criteria have gained considerable attention. In order to complement ESG criteria in the supplier selection process, this study investigates German DAX and MDAX companies and evaluates the impact of governance criteria along their supplier selection process. Moreover, it proposes a set of criteria for the respective process steps. Specifically, eleven criteria for the first process step and five criteria for the second process step are identified. This paper contributes to a better understanding of the supplier selection process by elucidating the relevance of governance criteria in the supplier selection process and providing a set of empirically developed governance criteria. These results can be applied by practitioners to complement the criteria set in the supplier selection process and thus balance economic, environmental, social, and governance targets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ESG" title="ESG">ESG</a>, <a href="https://publications.waset.org/abstracts/search?q=governance" title=" governance"> governance</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20supplier%20selection" title=" sustainable supplier selection"> sustainable supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/153736/the-impact-of-governance-criteria-in-the-supplier-selection-process-of-large-german-companies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2128</span> Supplier Risk Management: A Multivariate Statistical Modelling and Portfolio Optimization Based Approach for Supplier Delivery Performance Development </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiahui%20Yang">Jiahui Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Quigley"> John Quigley</a>, <a href="https://publications.waset.org/abstracts/search?q=Lesley%20Walls"> Lesley Walls</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the authors develop a stochastic model regarding the investment in supplier delivery performance development from a buyer’s perspective. The authors propose a multivariate model through a Multinomial-Dirichlet distribution within an Empirical Bayesian inference framework, representing both the epistemic and aleatory uncertainties in deliveries. A closed form solution is obtained and the lower and upper bound for both optimal investment level and expected profit under uncertainty are derived. The theoretical properties provide decision makers with useful insights regarding supplier delivery performance improvement problems where multiple delivery statuses are involved. The authors also extend the model from a single supplier investment into a supplier portfolio, using a Lagrangian method to obtain a theoretical expression for an optimal investment level and overall expected profit. The model enables a buyer to know how the marginal expected profit/investment level of each supplier changes with respect to the budget and which supplier should be invested in when additional budget is available. An application of this model is illustrated in a simulation study. Overall, the main contribution of this study is to provide an optimal investment decision making framework for supplier development, taking into account multiple delivery statuses as well as multiple projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=empirical%20bayesian" title=" empirical bayesian"> empirical bayesian</a>, <a href="https://publications.waset.org/abstracts/search?q=portfolio%20optimization" title=" portfolio optimization"> portfolio optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20development" title=" supplier development"> supplier development</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a> </p> <a href="https://publications.waset.org/abstracts/89731/supplier-risk-management-a-multivariate-statistical-modelling-and-portfolio-optimization-based-approach-for-supplier-delivery-performance-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89731.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2127</span> A Neural Network Approach to Evaluate Supplier Efficiency in a Supply Chain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kishore%20K.%20Pochampally">Kishore K. Pochampally</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The success of a supply chain heavily relies on the efficiency of the suppliers involved. In this paper, we propose a neural network approach to evaluate the efficiency of a supplier, which is being considered for inclusion in a supply chain, using the available linguistic (fuzzy) data of suppliers that already exist in the supply chain. The approach is carried out in three phases, as follows: In phase one, we identify criteria for evaluation of the supplier of interest. Then, in phase two, we use performance measures of already existing suppliers to construct a neural network that gives weights (importance values) of criteria identified in phase one. Finally, in phase three, we calculate the overall rating of the supplier of interest. The following are the major findings of the research conducted for this paper: (i) linguistic (fuzzy) ratings of suppliers such as 'good', 'bad', etc., can be converted (defuzzified) to numerical ratings (1 – 10 scale) using fuzzy logic so that those ratings can be used for further quantitative analysis; (ii) it is possible to construct and train a multi-level neural network in order to determine the weights of the criteria that are used to evaluate a supplier; and (iii) Borda’s rule can be used to group the weighted ratings and calculate the overall efficiency of the supplier. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20data" title="fuzzy data">fuzzy data</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier" title=" supplier"> supplier</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain" title=" supply chain"> supply chain</a> </p> <a href="https://publications.waset.org/abstracts/111181/a-neural-network-approach-to-evaluate-supplier-efficiency-in-a-supply-chain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111181.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">114</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2126</span> A Theoretical Framework for Conceptualizing Integration of Environmental Sustainability into Supplier Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tonny%20Ograh">Tonny Ograh</a>, <a href="https://publications.waset.org/abstracts/search?q=Joshua%20Ayarkwa"> Joshua Ayarkwa</a>, <a href="https://publications.waset.org/abstracts/search?q=Dickson%20Osei-Asibey"> Dickson Osei-Asibey</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Acheampong"> Alex Acheampong</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Amoah"> Peter Amoah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Theories are used to improve the conceptualization of research ideas. These theories enhance valuable elucidations that help us to grasp the meaning of research findings. Nevertheless, the use of theories to promote studies in green supplier selection in procurement decisions has attracted little attention. With the emergence of sustainable procurement, public procurement practitioners in Ghana are yet to achieve relevant knowledge on green supplier selections due to insufficient knowledge and inadequate appropriate frameworks. The flagrancy of the consequences of public procurers’ failure to integrate environmental considerations into supplier selection explains the adoption of a multi-theory approach for comprehension of the dynamics of green integration into supplier selection. In this paper, the practicality of three theories for improving the understanding of the influential factors enhancing the integration of environmental sustainability into supplier selection was reviewed. The three theories are Resource-Based Theory, Human Capital Theory and Absorptive Capacity Theory. This review uncovered knowledge management, top management commitment, and environmental management capabilities as important elements needed for the integration of environmental sustainability into supplier selection in public procurement. The theoretical review yielded a framework that conceptualizes knowledge and capabilities of practitioners relevant to the incorporation of environmental sustainability into supplier selection in public procurement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environmental" title="environmental">environmental</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20procurement" title=" environmental procurement"> environmental procurement</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20procurement" title=" sustainable procurement"> sustainable procurement</a> </p> <a href="https://publications.waset.org/abstracts/141903/a-theoretical-framework-for-conceptualizing-integration-of-environmental-sustainability-into-supplier-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141903.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2125</span> AHP and TOPSIS Methods for Supplier Selection Problem in Medical Devices Company</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sevde%20D.%20Karayel">Sevde D. Karayel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ediz%20Atmaca"> Ediz Atmaca</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection subject is vital because of development competitiveness and performance of firms which have right, rapid and with low cost procurement. Considering the fact that competition between firms is no longer on their supply chains, hence it is very clear that performance of the firms’ not only depend on their own success but also success of all departments in supply chain. For this purpose, firms want to work with suppliers which are cost effective, flexible in terms of demand and high quality level for customer satisfaction. However, diversification and redundancy of their expectations from suppliers, supplier selection problems need to be solved as a hard problem. In this study, supplier selection problem is discussed for critical piece, which is using almost all production of products in and has troubles with lead time from supplier, in a firm that produces medical devices. Analyzing policy in the current situation of the firm in the supplier selection indicates that supplier selection is made based on the purchasing department experience and other authorized persons’ general judgments. Because selection do not make based on the analytical methods, it is caused disruptions in production, lateness and extra cost. To solve the problem, AHP and TOPSIS which are multi-criteria decision making techniques, which are effective, easy to implement and can analyze many criteria simultaneously, are used to make a selection among alternative suppliers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AHP-TOPSIS%20methods" title="AHP-TOPSIS methods">AHP-TOPSIS methods</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title=" multi-criteria decision making"> multi-criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection%20problem" title=" supplier selection problem"> supplier selection problem</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20management" title=" supply chain management"> supply chain management</a> </p> <a href="https://publications.waset.org/abstracts/57163/ahp-and-topsis-methods-for-supplier-selection-problem-in-medical-devices-company" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57163.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2124</span> Designing Supplier Partnership Success Factors in the Coal Mining Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Afif">Ahmad Afif</a>, <a href="https://publications.waset.org/abstracts/search?q=Teuku%20Yuri%20M.%20Zagloel"> Teuku Yuri M. Zagloel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sustainable supply chain management is a new pattern that has emerged recently in industry and companies. The procurement process is one of the key factors for efficiency in supply chain management practices. Partnership is one of the procurement strategies for strategic items. The success factors of the partnership must be determined to avoid things that endanger the financial and operational status of the company. The current supplier partnership research focuses on the selection of general criteria and sustainable supplier selection. Currently, there is still limited research on the success factors of supplier partnerships that focus on strategic items in the coal mining industry. Meanwhile, the procurement of coal mining has its own characteristics, and there are regulations related to the procurement of goods. Therefore, this research was conducted to determine the categories of goods that are included in the strategic items and to design the success factors of supplier partnerships. The main factors studied are general, financial, production, reputation, synergies, and sustainable. The research was conducted using the Kraljic method to determine the categories of goods that are included in the strategic items. To design a supplier partnership success factor using the Hybrid Multi Criteria Decision Making method. Integrated Fuzzy AHP-Fuzzy TOPSIS is used to determine the weight of the success factors of supplier partnerships and to rank suppliers on the factors used. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supplier" title="supplier">supplier</a>, <a href="https://publications.waset.org/abstracts/search?q=partnership" title=" partnership"> partnership</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20item" title=" strategic item"> strategic item</a>, <a href="https://publications.waset.org/abstracts/search?q=success%20factors" title=" success factors"> success factors</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20coal%20mining%20industry" title=" and coal mining industry"> and coal mining industry</a> </p> <a href="https://publications.waset.org/abstracts/147405/designing-supplier-partnership-success-factors-in-the-coal-mining-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147405.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2123</span> Classification of Factors Influencing Buyer-Supplier Relationship: A Case Study from the Cement Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alberto%20Piatto">Alberto Piatto</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaza%20Nadja%20Lee%20Hansen"> Zaza Nadja Lee Hansen</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Jacobsen"> Peter Jacobsen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the quantitative and qualitative factors influencing the buyer-supplier relationship. Understanding and acting on the right factors influencing supplier relationship management is crucial when a company outsource an important part of its business as it can be for engineering to order (ETO) company executing only the designing part in-house. Acting on these factors increase the quality of the relationship obtaining for both parties what they want and expect from an improved relationship. Best practices in supplier relationship management are considered and a case study of a large global company, called Cement A/S, operating in the cement business is carried out. One study is conducted including a large international company and hundreds of its suppliers. Data from the company is collected using semi-structured interviews and data from the suppliers is collected using a survey. Based on these inputs and an extensive literature review a classification of factors influencing the relationship buyer-supplier is presented and discussed. The results show that different managers among the company are assessing supplier from various perspectives, a standard approach to measure the performance of suppliers does not exist. The factors used nowadays in the company to measure performances of the suppliers are mostly related to time and cost. Quality is a key factor, but it has not been addressed properly since no data are available in the system. From a practical perspective, managers can learn from this paper which factors to consider when applying best practices of Supplier Relationship Management. Furthermore, from a theoretical perspective, this paper contributes with new knowledge in the area as limited research in collaboration with the company has been conducted. For this reason, a company, its suppliers and few studies for this type of industry have been conducted. For further research, it is suggested to define the correlation of factors to the profitability of the company and calculate its impact. When conducting this analysis it is important to focus on the efficient and effective use of factors that can be measurable and accepted from the supplier. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=buyer-supplier%20relationship" title="buyer-supplier relationship">buyer-supplier relationship</a>, <a href="https://publications.waset.org/abstracts/search?q=cement%20industry" title=" cement industry"> cement industry</a>, <a href="https://publications.waset.org/abstracts/search?q=classification%20of%20factors" title=" classification of factors"> classification of factors</a>, <a href="https://publications.waset.org/abstracts/search?q=ETO" title=" ETO"> ETO</a> </p> <a href="https://publications.waset.org/abstracts/86944/classification-of-factors-influencing-buyer-supplier-relationship-a-case-study-from-the-cement-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86944.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">283</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2122</span> The Case for Implementing a Supplier Diversity and Inclusion Program beyond the Ethical Value</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arnaud%20Deshais">Arnaud Deshais</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The supply chain industry has integrated the need for supplier Diversity and Inclusion (D&I), mostly from an ethical and moral argument. In addition, in some countries, it is also a legal requirement for companies reaching a certain size. As a matter of fact, a lot of successful companies have developed a Corporate Social Responsibility Program that encourages diversity and inclusion in the supply chain, such as building strong relationships with minority owned businesses (women, LGBT, veterans, etc.). Outside ethical and legal perspectives, it is also worth researching the economic and financial benefits of pursuing such efforts. Through surveys of purchasing and supply chain managers in their current roles as well as review of some case studies on supplier based D&I programs, it becomes apparent that a financial return on investment is to be expected as well for companies who make a concerted effort to grow their D&I programs. The study explores the levers to increase shareholder value and business efficiencies. Finally, the research highlights the competitive advantage related to a broad minority based supplier network. The benefits manifest themselves in the areas of competitiveness, innovation, and collaboration. The economic reward ends up being at the forefront of those programs while being an opportunity for organizations to become 'a good citizen'. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diversity" title="diversity">diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=inclusion" title=" inclusion"> inclusion</a>, <a href="https://publications.waset.org/abstracts/search?q=purchasing" title=" purchasing"> purchasing</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier" title=" supplier"> supplier</a> </p> <a href="https://publications.waset.org/abstracts/127741/the-case-for-implementing-a-supplier-diversity-and-inclusion-program-beyond-the-ethical-value" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127741.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">125</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2121</span> Reliability Analysis in Power Distribution System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20A.%20Deshpande">R. A. Deshpande</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Chandhra%20Sekhar"> P. Chandhra Sekhar</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Sankar"> V. Sankar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we discussed the basic reliability evaluation techniques needed to evaluate the reliability of distribution systems which are applied in distribution system planning and operation. Basically, the reliability study can also help to predict the reliability performance of the system after quantifying the impact of adding new components to the system. The number and locations of new components needed to improve the reliability indices to certain limits are identified and studied. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distribution%20system" title="distribution system">distribution system</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20indices" title=" reliability indices"> reliability indices</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20feeder" title=" urban feeder"> urban feeder</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20feeder" title=" rural feeder"> rural feeder</a> </p> <a href="https://publications.waset.org/abstracts/29954/reliability-analysis-in-power-distribution-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29954.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">777</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2120</span> A Comparative Soft Computing Approach to Supplier Performance Prediction Using GEP and ANN Models: An Automotive Case Study </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Esmail%20Seyedi%20Bariran">Seyed Esmail Seyedi Bariran</a>, <a href="https://publications.waset.org/abstracts/search?q=Khairul%20Salleh%20Mohamed%20Sahari"> Khairul Salleh Mohamed Sahari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In multi-echelon supply chain networks, optimal supplier selection significantly depends on the accuracy of suppliers’ performance prediction. Different methods of multi criteria decision making such as ANN, GA, Fuzzy, AHP, etc have been previously used to predict the supplier performance but the “black-box” characteristic of these methods is yet a major concern to be resolved. Therefore, the primary objective in this paper is to implement an artificial intelligence-based gene expression programming (GEP) model to compare the prediction accuracy with that of ANN. A full factorial design with %95 confidence interval is initially applied to determine the appropriate set of criteria for supplier performance evaluation. A test-train approach is then utilized for the ANN and GEP exclusively. The training results are used to find the optimal network architecture and the testing data will determine the prediction accuracy of each method based on measures of root mean square error (RMSE) and correlation coefficient (R2). The results of a case study conducted in Supplying Automotive Parts Co. (SAPCO) with more than 100 local and foreign supply chain members revealed that, in comparison with ANN, gene expression programming has a significant preference in predicting supplier performance by referring to the respective RMSE and R-squared values. Moreover, using GEP, a mathematical function was also derived to solve the issue of ANN black-box structure in modeling the performance prediction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Supplier%20Performance%20Prediction" title="Supplier Performance Prediction">Supplier Performance Prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=ANN" title=" ANN"> ANN</a>, <a href="https://publications.waset.org/abstracts/search?q=GEP" title=" GEP"> GEP</a>, <a href="https://publications.waset.org/abstracts/search?q=Automotive" title=" Automotive"> Automotive</a>, <a href="https://publications.waset.org/abstracts/search?q=SAPCO" title=" SAPCO"> SAPCO</a> </p> <a href="https://publications.waset.org/abstracts/13162/a-comparative-soft-computing-approach-to-supplier-performance-prediction-using-gep-and-ann-models-an-automotive-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13162.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2119</span> Green Supply Chain Management and Corporate Performance: The Mediation Mechanism of Information Sharing among Firms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seigo%20Matsuno">Seigo Matsuno</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasuo%20Uchida"> Yasuo Uchida</a>, <a href="https://publications.waset.org/abstracts/search?q=Shozo%20Tokinaga"> Shozo Tokinaga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes and empirically tests a model of the relationships between green supply chain management (GSCM) activities and corporate performance. From the literature review, we identified five constructs, namely, environmental commitment, supplier collaboration, supplier assessment, information sharing among suppliers, and business process improvement. These explanatory variables are used to form a structural model explaining the environmental and economic performance. The model was analyzed using the data from a survey of a sample of manufacturing firms in Japan. The results suggest that the degree of supplier collaboration has an influence on the environmental performance directly. While, the impact of supplier assessment on the environmental performance is mediated by the information sharing and/or business process improvement. And the environmental performance has a positive relationship on the economic performance. Academic and managerial implications of our findings are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corporate%20performance" title="corporate performance">corporate performance</a>, <a href="https://publications.waset.org/abstracts/search?q=empirical%20study" title=" empirical study"> empirical study</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20supply%20chain%20management" title=" green supply chain management"> green supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20modeling" title=" path modeling"> path modeling</a> </p> <a href="https://publications.waset.org/abstracts/7755/green-supply-chain-management-and-corporate-performance-the-mediation-mechanism-of-information-sharing-among-firms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7755.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">393</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2118</span> Selection of Strategic Suppliers for Partnership: A Model with Two Stages Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Safak%20Isik">Safak Isik</a>, <a href="https://publications.waset.org/abstracts/search?q=Ozalp%20Vayvay"> Ozalp Vayvay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Strategic partnerships with suppliers play a vital role for the long-term value-based supply chain. This strategic collaboration keeps still being one of the top priority of many business organizations in order to create more additional value; benefiting mainly from supplier’s specialization, capacity and innovative power, securing supply and better managing costs and quality. However, many organizations encounter difficulties in initiating, developing and managing those partnerships and many attempts result in failures. One of the reasons for such failure is the incompatibility of members of this partnership or in other words wrong supplier selection which emphasize the significance of the selection process since it is the beginning stage. An effective selection process of strategic suppliers is critical to the success of the partnership. Although there are several research studies to select the suppliers in literature, only a few of them is related to strategic supplier selection for long-term partnership. The purpose of this study is to propose a conceptual model for the selection of strategic partnership suppliers. A two-stage approach has been used in proposed model incorporating first segmentation and second selection. In the first stage; considering the fact that not all suppliers are strategically equal and instead of a long list of potential suppliers, Kraljic’s purchasing portfolio matrix can be used for segmentation. This supplier segmentation is the process of categorizing suppliers based on a defined set of criteria in order to identify types of suppliers and determine potential suppliers for strategic partnership. In the second stage, from a pool of potential suppliers defined at first phase, a comprehensive evaluation and selection can be performed to finally define strategic suppliers considering various tangible and intangible criteria. Since a long-term relationship with strategic suppliers is anticipated, criteria should consider both current and future status of the supplier. Based on an extensive literature review; strategical, operational and organizational criteria have been determined and elaborated. The result of the selection can also be used to determine suppliers who are not ready for a partnership but to be developed for strategic partnership. Since the model is based on multiple criteria for both stages, it provides a framework for further utilization of Multi-Criteria Decision Making (MCDM) techniques. The model may also be applied to a wide range of industries and involve managerial features in business organizations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kraljic%E2%80%99s%20matrix" title="Kraljic’s matrix">Kraljic’s matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=purchasing%20portfolio" title=" purchasing portfolio"> purchasing portfolio</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20supplier%20selection" title=" strategic supplier selection"> strategic supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20collaboration" title=" supplier collaboration"> supplier collaboration</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20partnership" title=" supplier partnership"> supplier partnership</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20segmentation" title=" supplier segmentation"> supplier segmentation</a> </p> <a href="https://publications.waset.org/abstracts/88159/selection-of-strategic-suppliers-for-partnership-a-model-with-two-stages-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88159.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">239</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2117</span> Structural Reliability Analysis Using Extreme Learning Machine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehul%20Srivastava">Mehul Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharma%20Tushar%20Ravikant"> Sharma Tushar Ravikant</a>, <a href="https://publications.waset.org/abstracts/search?q=Mridul%20Krishn%20Mishra"> Mridul Krishn Mishra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In structural design, the evaluation of safety and probability failure of structure is of significant importance, mainly when the variables are random. On real structures, structural reliability can be evaluated obtaining an implicit limit state function. The structural reliability limit state function is obtained depending upon the statistically independent variables. In the analysis of reliability, we considered the statistically independent random variables to be the load intensity applied and the depth or height of the beam member considered. There are many approaches for structural reliability problems. In this paper Extreme Learning Machine technique and First Order Second Moment Method is used to determine the reliability indices for the same set of variables. The reliability index obtained using ELM is compared with the reliability index obtained using FOSM. Higher the reliability index, more feasible is the method to determine the reliability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=reliability" title="reliability">reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20index" title=" reliability index"> reliability index</a>, <a href="https://publications.waset.org/abstracts/search?q=statistically%20independent" title=" statistically independent"> statistically independent</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20learning%20machine" title=" extreme learning machine"> extreme learning machine</a> </p> <a href="https://publications.waset.org/abstracts/21683/structural-reliability-analysis-using-extreme-learning-machine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21683.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">684</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2116</span> A Mixed Expert Evaluation System and Dynamic Interval-Valued Hesitant Fuzzy Selection Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Gitinavard">Hossein Gitinavard</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Hossein%20Fazel%20Zarandi"> Mohammad Hossein Fazel Zarandi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the last decades, concerns about the environmental issues lead to professional and academic efforts on green supplier selection problems. In this sake, one of the main issues in evaluating the green supplier selection problems, which could increase the uncertainty, is the preferences of the experts' judgments about the candidate green suppliers. Therefore, preparing an expert system to evaluate the problem based on the historical data and the experts' knowledge can be sensible. This study provides an expert evaluation system to assess the candidate green suppliers under selected criteria in a multi-period approach. In addition, a ranking approach under interval-valued hesitant fuzzy set (IVHFS) environment is proposed to select the most appropriate green supplier in planning horizon. In the proposed ranking approach, the IVHFS and the last aggregation approach are considered to margin the errors and to prevent data loss, respectively. Hence, a comparative analysis is provided based on an illustrative example to show the feasibility of the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=green%20supplier%20selection" title="green supplier selection">green supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20system" title=" expert system"> expert system</a>, <a href="https://publications.waset.org/abstracts/search?q=ranking%20approach" title=" ranking approach"> ranking approach</a>, <a href="https://publications.waset.org/abstracts/search?q=interval-valued%20hesitant%20fuzzy%20setting" title=" interval-valued hesitant fuzzy setting"> interval-valued hesitant fuzzy setting</a> </p> <a href="https://publications.waset.org/abstracts/49652/a-mixed-expert-evaluation-system-and-dynamic-interval-valued-hesitant-fuzzy-selection-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49652.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">328</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2115</span> Disruption Coordination of Supply Chain with Loss-Averse Retailer Under Buy-Back Contract</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Tian">Yuan Tian</a>, <a href="https://publications.waset.org/abstracts/search?q=Benhe%20Gao"> Benhe Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to investigate a two stage supply chain of one leading supplier and one following retailer that experiences two factors perturbation out of supplier's production cost, retailer's marginal cost and retail price in stochastic demand environment. Granted that risk neutral condition has long been discussed, little attention has been given to disruptions under the premise of risk neutral supplier and risk aversion retailer. We establish the optimal order quantity and revealed the profit distribution coefficient in risk-neutral static model, make adjustment under disruption scenario, and then select utility function method for risk aversion model. Using buy-back contract policy, the improvement of parameters can achieve channel coordination where Pareto optimal is realized. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20coordination" title="supply chain coordination">supply chain coordination</a>, <a href="https://publications.waset.org/abstracts/search?q=disruption%20management" title=" disruption management"> disruption management</a>, <a href="https://publications.waset.org/abstracts/search?q=buy-back%20contract" title=" buy-back contract"> buy-back contract</a>, <a href="https://publications.waset.org/abstracts/search?q=lose%20aversion" title=" lose aversion"> lose aversion</a> </p> <a href="https://publications.waset.org/abstracts/1671/disruption-coordination-of-supply-chain-with-loss-averse-retailer-under-buy-back-contract" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1671.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">328</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2114</span> Developing Fuzzy Logic Model for Reliability Estimation: Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soroor%20K.%20H.%20Al-Khafaji">Soroor K. H. Al-Khafaji</a>, <a href="https://publications.waset.org/abstracts/search?q=Manal%20Mohammad%20Abed"> Manal Mohammad Abed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research aim of this paper is to evaluate the reliability of a complex engineering system and to design a fuzzy model for the reliability estimation. The designed model has been applied on Vegetable Oil Purification System (neutralization system) to help the specialist user based on the concept of FMEA (Failure Mode and Effect Analysis) to estimate the reliability of the repairable system at the vegetable oil industry. The fuzzy model has been used to predict the system reliability for a future time period, depending on a historical database for the two past years. The model can help to specify the system malfunctions and to predict its reliability during a future period in more accurate and reasonable results compared with the results obtained by the traditional method of reliability estimation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title="fuzzy logic">fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=repairable%20systems" title=" repairable systems"> repairable systems</a>, <a href="https://publications.waset.org/abstracts/search?q=FMEA" title=" FMEA"> FMEA</a> </p> <a href="https://publications.waset.org/abstracts/11576/developing-fuzzy-logic-model-for-reliability-estimation-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11576.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">614</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2113</span> Supplier Selection Using Sustainable Criteria in Sustainable Supply Chain Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Richa%20Grover">Richa Grover</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Grover"> Rahul Grover</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Balaji%20Rao"> V. Balaji Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Kavish%20Kejriwal"> Kavish Kejriwal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Selection of suppliers is a crucial problem in the supply chain management. On top of that, sustainable supplier selection is the biggest challenge for the organizations. Environment protection and social problems have been of concern to society in recent years, and the traditional supplier selection does not consider about this factor; therefore, this research work focuses on introducing sustainable criteria into the structure of supplier selection criteria. Sustainable Supply Chain Management (SSCM) is the management and administration of material, information, and money flows, as well as coordination among business along the supply chain. All three dimensions - economic, environmental, and social - of sustainable development needs to be taken care of. Purpose of this research is to maximize supply chain profitability, maximize social wellbeing of supply chain and minimize environmental impacts. Problem statement is selection of suppliers in a sustainable supply chain network by ranking the suppliers against sustainable criteria identified. The aim of this research is twofold: To find out what are the sustainable parameters that can be applied to the supply chain, and to determine how these parameters can effectively be used in supplier selection. Multicriteria decision making tools will be used to rank both criteria and suppliers. AHP Analysis will be used to find out ratings for the criteria identified. It is a technique used for efficient decision making. TOPSIS will be used to find out rating for suppliers and then ranking them. TOPSIS is a MCDM problem solving method which is based on the principle that the chosen option should have the maximum distance from the negative ideal solution (NIS) and the minimum distance from the ideal solution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainable%20supply%20chain%20management" title="sustainable supply chain management">sustainable supply chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20criteria" title=" sustainable criteria"> sustainable criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=MCDM%20tools" title=" MCDM tools"> MCDM tools</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP%20analysis" title=" AHP analysis"> AHP analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=TOPSIS%20method" title=" TOPSIS method"> TOPSIS method</a> </p> <a href="https://publications.waset.org/abstracts/49574/supplier-selection-using-sustainable-criteria-in-sustainable-supply-chain-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49574.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2112</span> The Relevance of Environmental, Social, and Governance in Sustainable Supplier Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christoph%20Koester">Christoph Koester</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection is one of the key issues in supply chain management with a growing emphasis on sustainability driven by increasing stakeholder expectations and proactivity. In addition, new regulations, such as the German Supply Chain Act, fostered the inclusion of sustainable incl. governance selection criteria in the selection process. In order to provide a systematic approach to select the most suitable sustainable suppliers, this study quantifies the importance and prioritizes the relevant selection criteria across 17 German industries using the Fuzzy Analytical Hierarchy Process. Results show that economic criteria are still the most important in the selection decision averaging a global weight of 51%. However, environmental, social, and governance (ESG) criteria are combined, on average, almost equally important, with global weights of 22%, 16%, and 11%, respectively. While the type of industry influences criteria weights, other factors, such as type of purchasing or demographic factors, appear to have little impact. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ESG" title="ESG">ESG</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20analytical%20hierarchy%20process" title=" fuzzy analytical hierarchy process"> fuzzy analytical hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20supplier%20selection" title=" sustainable supplier selection"> sustainable supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/166297/the-relevance-of-environmental-social-and-governance-in-sustainable-supplier-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166297.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2111</span> Presentation of the Model of Reliability of the Signaling System with Emphasis on Determining Best Time Schedule for Repairments and Preventive Maintenance in the Iranian Railway</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maziar%20Yazdani">Maziar Yazdani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Khodaee"> Ahmad Khodaee</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Hajizadeh"> Fatemeh Hajizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research was analysis of the reliability of the signaling system in the railway and planning repair and maintenance of its subsystems. For this purpose, it will be endeavored to introduce practical strategies for activities control and appropriate planning for repair and preventive maintenance by statistical modeling of reliability. Therefore, modeling, evaluation, and promotion of reliability of the signaling system appear very critical. Among the key goals of the railway is provision of quality service for passengers and this purpose is gained by increasing reliability, availability, maintainability and safety of (RAMS). In this research, data were analyzed, and the reliability of the subsystems and entire system was calculated and with emphasis on preservation of performance of each of the subsystems with a reliability of 80%, a plan for repair and preventive maintenance of the subsystems of the signaling system was introduced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=reliability" title="reliability">reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling%20reliability" title=" modeling reliability"> modeling reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=plan%20for%20repair%20and%20preventive%20maintenance" title=" plan for repair and preventive maintenance"> plan for repair and preventive maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=signaling%20system" title=" signaling system"> signaling system</a> </p> <a href="https://publications.waset.org/abstracts/90078/presentation-of-the-model-of-reliability-of-the-signaling-system-with-emphasis-on-determining-best-time-schedule-for-repairments-and-preventive-maintenance-in-the-iranian-railway" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90078.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">184</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2110</span> Analysis of Reliability of Mining Shovel Using Weibull Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anurag%20Savarnya">Anurag Savarnya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The reliability of the various parts of electric mining shovel has been assessed through the application of Weibull Model. The study was initiated to find reliability of components of electric mining shovel. The paper aims to optimize the reliability of components and increase the life cycle of component. A multilevel decomposition of the electric mining shovel was done and maintenance records were used to evaluate the failure data and appropriate system characterization was done to model the system in terms of reasonable number of components. The approach used develops a mathematical model to assess the reliability of the electric mining shovel components. The model can be used to predict reliability of components of the hydraulic mining shovel and system performance. Reliability is an inherent attribute to a system. When the life-cycle costs of a system are being analyzed, reliability plays an important role as a major driver of these costs and has considerable influence on system performance. It is an iterative process that begins with specification of reliability goals consistent with cost and performance objectives. The data were collected from an Indian open cast coal mine and the reliability of various components of the electric mining shovel has been assessed by following a Weibull Model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=reliability" title="reliability">reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=Weibull%20model" title=" Weibull model"> Weibull model</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20mining%20shovel" title=" electric mining shovel"> electric mining shovel</a> </p> <a href="https://publications.waset.org/abstracts/8913/analysis-of-reliability-of-mining-shovel-using-weibull-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8913.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">514</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=71">71</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=72">72</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=supplier%E2%80%99s%20reliability&page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>