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planning</title> <meta name="description" content="Search results for: production planning"> <meta name="keywords" content="production planning"> <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 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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="production planning"> <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> 10546</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: production planning</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10546</span> Application of Production Planning to Improve Operation in Local Factory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bashayer%20Al-Enezi">Bashayer Al-Enezi</a>, <a href="https://publications.waset.org/abstracts/search?q=Budoor%20Al-Sabti"> Budoor Al-Sabti</a>, <a href="https://publications.waset.org/abstracts/search?q=Eman%20Al-Durai"> Eman Al-Durai</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatmah%20Kalban"> Fatmah Kalban</a>, <a href="https://publications.waset.org/abstracts/search?q=Meshael%20Ahmed"> Meshael Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Production planning and control principles are concerned with planning, controlling and balancing all aspects of manufacturing including raw materials, finished goods, production schedules, and equipment requirements. Hence, an effective production planning and control system is very critical to the success of any factory. This project will focus on the application of production planning and control principles on “The National Canned Food Production and Trading Company (NCFP)” factory to find problems or areas for improvement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title="production planning">production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=operations%20improvement" title=" operations improvement"> operations improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20management" title=" inventory management"> inventory management</a>, <a href="https://publications.waset.org/abstracts/search?q=National%20Canned%20Food%20Production%20and%20Trading%20Company%20%28NCFP%29" title=" National Canned Food Production and Trading Company (NCFP)"> National Canned Food Production and Trading Company (NCFP)</a> </p> <a href="https://publications.waset.org/abstracts/10770/application-of-production-planning-to-improve-operation-in-local-factory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10770.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">506</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">10545</span> Systematic Approach for Energy-Supply-Orientated Production Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Keller">F. Keller</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Reinhart"> G. Reinhart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The efficient and economic allocation of resources is one main goal in the field of production planning and control. Nowadays, a new variable gains in importance throughout the planning process: Energy. Energy-efficiency has already been widely discussed in literature, but with a strong focus on reducing the overall amount of energy used in production. This paper provides a brief systematic approach, how energy-supply-orientation can be used for an energy-cost-efficient production planning and thus combining the idea of energy-efficiency and energy-flexibility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title="production planning">production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20control" title=" production control"> production control</a>, <a href="https://publications.waset.org/abstracts/search?q=energy-efficiency" title=" energy-efficiency"> energy-efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=energy-flexibility" title=" energy-flexibility"> energy-flexibility</a>, <a href="https://publications.waset.org/abstracts/search?q=energy-supply" title=" energy-supply"> energy-supply</a> </p> <a href="https://publications.waset.org/abstracts/26038/systematic-approach-for-energy-supply-orientated-production-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26038.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">648</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">10544</span> Aggregate Production Planning Framework in a Multi-Product Factory: A Case Study </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ignatio%20Madanhire">Ignatio Madanhire</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Mbohwa"> Charles Mbohwa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study looks at the best model of aggregate planning activity in an industrial entity and uses the trial and error method on spreadsheets to solve aggregate production planning problems. Also linear programming model is introduced to optimize the aggregate production planning problem. Application of the models in a furniture production firm is evaluated to demonstrate that practical and beneficial solutions can be obtained from the models. Finally some benchmarking of other furniture manufacturing industries was undertaken to assess relevance and level of use in other furniture firms <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aggregate%20production%20planning" title="aggregate production planning">aggregate production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=trial%20and%20error" title=" trial and error"> trial and error</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20programming" title=" linear programming"> linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=furniture%20industry" title=" furniture industry "> furniture industry </a> </p> <a href="https://publications.waset.org/abstracts/13776/aggregate-production-planning-framework-in-a-multi-product-factory-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13776.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">556</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">10543</span> Determination of the Economic Planning Depth for Assembly Process Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Kampker">A. Kampker</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Burggr%C3%A4f"> P. Burggräf</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20B%C3%A4umers"> Y. Bäumers </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to be competitive, companies have to reduce their production costs while meeting increasing quality requirements. Therefore, companies try to plan their assembly processes as detailed as possible. However, increasing product individualization leading to a higher number of variants, smaller batch sizes and shorter product life cycles raise the question to what extent the effort of detailed planning is still justified. An important approach in this field of research is the concept of determining the economic planning depth for assembly process planning based on production specific influencing factors. In this paper, first solution hypotheses as well as a first draft of the resulting method will be presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=assembly%20process%20planning" title="assembly process planning">assembly process planning</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20planning%20depth" title=" economic planning depth"> economic planning depth</a>, <a href="https://publications.waset.org/abstracts/search?q=planning%20benefit" title=" planning benefit"> planning benefit</a>, <a href="https://publications.waset.org/abstracts/search?q=planning%20effort" title=" planning effort"> planning effort</a> </p> <a href="https://publications.waset.org/abstracts/30242/determination-of-the-economic-planning-depth-for-assembly-process-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30242.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">504</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">10542</span> Production Line Layout Planning Based on Complexity Measurement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guoliang%20Fan">Guoliang Fan</a>, <a href="https://publications.waset.org/abstracts/search?q=Aiping%20Li"> Aiping Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Nan%20Xie"> Nan Xie</a>, <a href="https://publications.waset.org/abstracts/search?q=Liyun%20Xu"> Liyun Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuemei%20Liu"> Xuemei Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mass customization production increases the difficulty of the production line layout planning. The material distribution process for variety of parts is very complex, which greatly increases the cost of material handling and logistics. In response to this problem, this paper presents an approach of production line layout planning based on complexity measurement. Firstly, by analyzing the influencing factors of equipment layout, the complexity model of production line is established by using information entropy theory. Then, the cost of the part logistics is derived considering different variety of parts. Furthermore, the function of optimization including two objectives of the lowest cost, and the least configuration complexity is built. Finally, the validity of the function is verified in a case study. The results show that the proposed approach may find the layout scheme with the lowest logistics cost and the least complexity. Optimized production line layout planning can effectively improve production efficiency and equipment utilization with lowest cost and complexity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20line" title="production line">production line</a>, <a href="https://publications.waset.org/abstracts/search?q=layout%20planning" title=" layout planning"> layout planning</a>, <a href="https://publications.waset.org/abstracts/search?q=complexity%20measurement" title=" complexity measurement"> complexity measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=mass%20customization" title=" mass customization"> mass customization</a> </p> <a href="https://publications.waset.org/abstracts/75830/production-line-layout-planning-based-on-complexity-measurement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75830.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">10541</span> Optimal Production Planning in Aromatic Coconuts Supply Chain Based on Mixed-Integer Linear Programming</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chaimongkol%20Limpianchob">Chaimongkol Limpianchob</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work addresses the problem of production planning that arises in the production of aromatic coconuts from Samudsakhorn province in Thailand. The planning involves the forwarding of aromatic coconuts from the harvest areas to the factory, which is classified into two groups; self-owned areas and contracted areas, the decisions of aromatic coconuts flow in the plant, and addressing a question of which warehouse will be in use. The problem is formulated as a mixed-integer linear programming model within supply chain management framework. The objective function seeks to minimize the total cost including the harvesting, labor and inventory costs. Constraints on the system include the production activities in the company and demand requirements. Numerical results are presented to demonstrate the feasibility of coconuts supply chain model compared with base case. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aromatic%20coconut" title="aromatic coconut">aromatic coconut</a>, <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=production%20planning" title=" production planning"> production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed-integer%20linear%20programming" title=" mixed-integer linear programming"> mixed-integer linear programming</a> </p> <a href="https://publications.waset.org/abstracts/6619/optimal-production-planning-in-aromatic-coconuts-supply-chain-based-on-mixed-integer-linear-programming" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6619.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">460</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">10540</span> Supply Chain Optimization Based on Advanced Planning and Scheduling Technology in Manufacturing Industry: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenqian%20Shi">Wenqian Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Xie%20He"> Xie He</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziyin%20Huang"> Ziyin Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zi%20Yu"> Zi Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The dramatic changes in the global economic situation have produced dramatic changes to companies’ supply chain systems. A variety of opportunities and challenges make the traditional manufacturing industry feel pressured, and the manufacturing industry must seek a new way out as soon as possible. This paper presents a case study of the advanced planning and scheduling technology problem encountered by an electrical and electronics manufacturer. The objective is to seek the minimum cost of production planning and order management. Digitalization is applied to the problem, and the results demonstrate that significant production performances can be achieved in the face of the existing production of each link and order management systems to analyze and optimize. This paper can also provide some practical implications in various manufacturing industries. Finally, future research directions are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20planning%20and%20scheduling" title="advanced planning and scheduling">advanced planning and scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20study" title=" case study"> case study</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20optimization" title=" supply chain optimization"> supply chain optimization</a> </p> <a href="https://publications.waset.org/abstracts/162207/supply-chain-optimization-based-on-advanced-planning-and-scheduling-technology-in-manufacturing-industry-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162207.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">98</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">10539</span> Adaption of the Design Thinking Method for Production Planning in the Meat Industry Using Machine Learning Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alica%20H%C3%B6pken">Alica Höpken</a>, <a href="https://publications.waset.org/abstracts/search?q=Hergen%20Pargmann"> Hergen Pargmann</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The resource-efficient planning of the complex production planning processes in the meat industry and the reduction of food waste is a permanent challenge. The complexity of the production planning process occurs in every part of the supply chain, from agriculture to the end consumer. It arises from long and uncertain planning phases. Uncertainties such as stochastic yields, fluctuations in demand, and resource variability are part of this process. In the meat industry, waste mainly relates to incorrect storage, technical causes in production, or overproduction. The high amount of food waste along the complex supply chain in the meat industry could not be reduced by simple solutions until now. Therefore, resource-efficient production planning by conventional methods is currently only partially feasible. The realization of intelligent, automated production planning is basically possible through the application of machine learning algorithms, such as those of reinforcement learning. By applying the adapted design thinking method, machine learning methods (especially reinforcement learning algorithms) are used for the complex production planning process in the meat industry. This method represents a concretization to the application area. A resource-efficient production planning process is made available by adapting the design thinking method. In addition, the complex processes can be planned efficiently by using this method, since this standardized approach offers new possibilities in order to challenge the complexity and the high time consumption. It represents a tool to support the efficient production planning in the meat industry. This paper shows an elegant adaption of the design thinking method to apply the reinforcement learning method for a resource-efficient production planning process in the meat industry. Following, the steps that are necessary to introduce machine learning algorithms into the production planning of the food industry are determined. This is achieved based on a case study which is part of the research project ”REIF - Resource Efficient, Economic and Intelligent Food Chain” supported by the German Federal Ministry for Economic Affairs and Climate Action of Germany and the German Aerospace Center. Through this structured approach, significantly better planning results are achieved, which would be too complex or very time consuming using conventional methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=change%20management" title="change management">change management</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20thinking%20method" title=" design thinking method"> design thinking method</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=meat%20industry" title=" meat industry"> meat industry</a>, <a href="https://publications.waset.org/abstracts/search?q=reinforcement%20learning" title=" reinforcement learning"> reinforcement learning</a>, <a href="https://publications.waset.org/abstracts/search?q=resource-efficient%20production%20planning" title=" resource-efficient production planning"> resource-efficient production planning</a> </p> <a href="https://publications.waset.org/abstracts/154682/adaption-of-the-design-thinking-method-for-production-planning-in-the-meat-industry-using-machine-learning-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154682.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">128</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">10538</span> Smart Production Planning: The Case of Aluminium Foundry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samira%20Alvandi">Samira Alvandi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the context of the circular economy, production planning aims to eliminate waste and emissions and maximize resource efficiency. Historically production planning is challenged through arrays of uncertainty and complexity arising from the interdependence and variability of products, processes, and systems. Manufacturers worldwide are facing new challenges in tackling various environmental issues such as climate change, resource depletion, and land degradation. In managing the inherited complexity and uncertainty and yet maintaining profitability, the manufacturing sector is in need of a holistic framework that supports energy efficiency and carbon emission reduction schemes. The proposed framework addresses the current challenges and integrates simulation modeling with optimization for finding optimal machine-job allocation to maximize throughput and total energy consumption while minimizing lead time. The aluminium refinery facility in western Sydney, Australia, is used as an exemplar to validate the proposed framework. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=smart%20production%20planning" title="smart production planning">smart production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation-optimisation" title=" simulation-optimisation"> simulation-optimisation</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20aware%20capacity%20planning" title=" energy aware capacity planning"> energy aware capacity planning</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20intensive%20industries" title=" energy intensive industries"> energy intensive industries</a> </p> <a href="https://publications.waset.org/abstracts/181402/smart-production-planning-the-case-of-aluminium-foundry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181402.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">76</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">10537</span> A Multicriteria Mathematical Programming Model for Farm Planning in Greece </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Basil%20Manos">Basil Manos</a>, <a href="https://publications.waset.org/abstracts/search?q=Parthena%20Chatzinikolaou"> Parthena Chatzinikolaou</a>, <a href="https://publications.waset.org/abstracts/search?q=Fedra%20Kiomourtzi"> Fedra Kiomourtzi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a Multicriteria Mathematical Programming model for farm planning and sustainable optimization of agricultural production. The model can be used as a tool for the analysis and simulation of agricultural production plans, as well as for the study of impacts of various measures of Common Agriculture Policy in the member states of European Union. The model can achieve the optimum production plan of a farm or an agricultural region combining in one utility function different conflicting criteria as the maximization of gross margin and the minimization of fertilizers used, under a set of constraints for land, labor, available capital, Common Agricultural Policy etc. The proposed model was applied to the region of Larisa in central Greece. The optimum production plan achieves a greater gross return, a less fertilizers use, and a less irrigated water use than the existent production plan. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainable%20optimization" title="sustainable optimization">sustainable optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=multicriteria%20analysis" title=" multicriteria analysis"> multicriteria analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20production" title=" agricultural production"> agricultural production</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20planning" title=" farm planning"> farm planning</a> </p> <a href="https://publications.waset.org/abstracts/23688/a-multicriteria-mathematical-programming-model-for-farm-planning-in-greece" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23688.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">604</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">10536</span> Pricing, Production and Inventory Policies Manufacturing under Stochastic Demand and Continuous Prices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoud%20Rabbani">Masoud Rabbani</a>, <a href="https://publications.waset.org/abstracts/search?q=Majede%20Smizadeh"> Majede Smizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Farrokhi-Asl"> Hamed Farrokhi-Asl</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We study jointly determining prices and production in a multiple period horizon under a general non-stationary stochastic demand with continuous prices. In some periods we need to increase capacity of production to satisfy demand. This paper presents a model to aid multi-period production capacity planning by quantifying the trade-off between product quality and production cost. The product quality is estimated as the statistical variation from the target performances obtained from the output tolerances of the production machines that manufacture the components. We consider different tolerance for different machines that use to increase capacity. The production cost is estimated as the total cost of owning and operating a production facility during the planning horizon.so capacity planning has cost that impact on price. Pricing products often turns out to be difficult to measure them because customers have a reservation price to pay that impact on price and demand. We decide to determine prices and production for periods after enhance capacity and consider reservation price to determine price. First we use an algorithm base on fuzzy set of the optimal objective function values to determine capacity planning by determine maximize interval from upper bound in minimum objectives and define weight for objectives. Then we try to determine inventory and pricing policies. We can use a lemma to solve a problem in MATLAB and find exact answer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=price%20policy" title="price policy">price policy</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20policy" title=" inventory policy"> inventory policy</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity%20planning" title=" capacity planning"> capacity planning</a>, <a href="https://publications.waset.org/abstracts/search?q=product%20quality" title=" product quality"> product quality</a>, <a href="https://publications.waset.org/abstracts/search?q=epsilon%20-constraint" title=" epsilon -constraint"> epsilon -constraint</a> </p> <a href="https://publications.waset.org/abstracts/30981/pricing-production-and-inventory-policies-manufacturing-under-stochastic-demand-and-continuous-prices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30981.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">569</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">10535</span> A Development of a Simulation Tool for Production Planning with Capacity-Booking at Specialty Store Retailer of Private Label Apparel Firms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erika%20Yamaguchi">Erika Yamaguchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirawadee%20Arunyanrt"> Sirawadee Arunyanrt</a>, <a href="https://publications.waset.org/abstracts/search?q=Shunichi%20Ohmori"> Shunichi Ohmori</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazuho%20Yoshimoto"> Kazuho Yoshimoto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we suggest a simulation tool to make a decision of monthly production planning for maximizing a profit of Specialty store retailer of Private label Apparel (SPA) firms. Most of SPA firms are fabless and make outsourcing deals for productions with factories of their subcontractors. Every month, SPA firms make a booking for production lines and manpower in the factories. The booking is conducted a few months in advance based on a demand prediction and a monthly production planning at that time. However, the demand prediction is updated month by month, and the monthly production planning would change to meet the latest demand prediction. Then, SPA firms have to change the capacities initially booked within a certain range to suit to the monthly production planning. The booking system is called “capacity-booking”. These days, though it is an issue for SPA firms to make precise monthly production planning, many firms are still conducting the production planning by empirical rules. In addition, it is also a challenge for SPA firms to match their products and factories with considering their demand predictabilities and regulation abilities. In this paper, we suggest a model for considering these two issues. An objective is to maximize a total profit of certain periods, which is sales minus costs of production, inventory, and capacity-booking penalty. To make a better monthly production planning at SPA firms, these points should be considered: demand predictabilities by random trends, previous and next month’s production planning of the target month, and regulation abilities of the capacity-booking. To decide matching products and factories for outsourcing, it is important to consider seasonality, volume, and predictability of each product, production possibility, size, and regulation ability of each factory. SPA firms have to consider these constructions and decide orders with several factories per one product. We modeled these issues as a linear programming. To validate the model, an example of several computational experiments with a SPA firm is presented. We suppose four typical product groups: basic, seasonal (Spring / Summer), seasonal (Fall / Winter), and spot product. As a result of the experiments, a monthly production planning was provided. In the planning, demand predictabilities from random trend are reduced by producing products which are different product types. Moreover, priorities to produce are given to high-margin products. In conclusion, we developed a simulation tool to make a decision of monthly production planning which is useful when the production planning is set every month. We considered the features of capacity-booking, and matching of products and factories which have different features and conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacity-booking" title="capacity-booking">capacity-booking</a>, <a href="https://publications.waset.org/abstracts/search?q=SPA" title=" SPA"> SPA</a>, <a href="https://publications.waset.org/abstracts/search?q=monthly%20production%20planning" title=" monthly production planning"> monthly production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20programming" title=" linear programming"> linear programming</a> </p> <a href="https://publications.waset.org/abstracts/39600/a-development-of-a-simulation-tool-for-production-planning-with-capacity-booking-at-specialty-store-retailer-of-private-label-apparel-firms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39600.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">519</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">10534</span> Investigation on Machine Tools Energy Consumptions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shiva%20Abdoli">Shiva Abdoli</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20T.Semere"> Daniel T.Semere</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several researches have been conducted to study consumption of energy in cutting process. Most of these researches are focusing to measure the consumption and propose consumption reduction methods. In this work, the relation between the cutting parameters and the consumption is investigated in order to establish a generalized energy consumption model that can be used for process and production planning in real production lines. Using the generalized model, the process planning will be carried out by taking into account the energy as a function of the selected process parameters. Similarly, the generalized model can be used in production planning to select the right operational parameters like batch sizes, routing, buffer size, etc. in a production line. The description and derivation of the model as well as a case study are given in this paper to illustrate the applicability and validity of the model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=process%20parameters" title="process parameters">process parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=cutting%20process" title=" cutting process"> cutting process</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=Material%20Removal%20Rate%20%28MRR%29" title=" Material Removal Rate (MRR) "> Material Removal Rate (MRR) </a> </p> <a href="https://publications.waset.org/abstracts/10303/investigation-on-machine-tools-energy-consumptions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10303.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">499</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">10533</span> Digital Transformation in Production Planning and Control: Evaluation of the Organizational Readiness</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tobias%20Wissing">Tobias Wissing</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Burggr%C3%A4f"> Peter Burggräf</a>, <a href="https://publications.waset.org/abstracts/search?q=Johannes%20Wagner"> Johannes Wagner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cost pressure, competitiveness and the increasing turbulence of globalized saturated markets has been the driver for a variety of research activities in the field of production planning and control (PPC) during the past decades. For some time past an increasing awareness for innovative technologies in terms of Industry 4.0 can be noticed. Although there are many promising approaches a solely installation of those smart solutions will not maximize the PPC performance. To accelerate the successful digital transformation the cooperation between employee and technology also has to be adapted. The existing processes and organizational structures might be not sufficient to maximize the utilization of technological innovations. This paper presents the key results of an extensive study which was conducted by the Laboratory for Machine Tools and Production Engineering (WZL) of the RWTH Aachen University to evaluate the current situation and examine the organizational readiness for this digital transformation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cyber-physical%20production%20system" title="cyber-physical production system">cyber-physical production system</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20transformation" title=" digital transformation"> digital transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=industry%204.0" title=" industry 4.0"> industry 4.0</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning%20and%20control" title=" production planning and control"> production planning and control</a> </p> <a href="https://publications.waset.org/abstracts/56498/digital-transformation-in-production-planning-and-control-evaluation-of-the-organizational-readiness" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56498.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">353</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">10532</span> The Role of Information Technology in Supply Chain Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Jagadeesh">V. Jagadeesh</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Venkata%20Subbaiah"> K. Venkata Subbaiah</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Govinda%20Rao"> P. Govinda Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explaining about the significance of information technology tools and software packages in supply chain management (SCM) in order to manage the entire supply chain. Managing materials flow and financial flow and information flow effectively and efficiently with the aid of information technology tools and packages in order to deliver right quantity with right quality of goods at right time by using right methods and technology. Information technology plays a vital role in streamlining the sales forecasting and demand planning and Inventory control and transportation in supply networks and finally deals with production planning and scheduling. It achieves the objectives by streamlining the business process and integrates within the enterprise and its extended enterprise. SCM starts with customer and it involves sequence of activities from customer, retailer, distributor, manufacturer and supplier within the supply chain framework. It is the process of integrating demand planning and supply network planning and production planning and control. Forecasting indicates the direction for planning raw materials in order to meet the production planning requirements. Inventory control and transportation planning allocate the optimal or economic order quantity by utilizing shortest possible routes to deliver the goods to the customer. Production planning and control utilize the optimal resources mix in order to meet the capacity requirement planning. The above operations can be achieved by using appropriate information technology tools and software packages for the supply chain management. <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=information%20technology" title=" information technology"> information technology</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20process" title=" business process"> business process</a>, <a href="https://publications.waset.org/abstracts/search?q=extended%20enterprise" title=" extended enterprise"> extended enterprise</a> </p> <a href="https://publications.waset.org/abstracts/49770/the-role-of-information-technology-in-supply-chain-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49770.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">376</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">10531</span> Integrated Vegetable Production Planning Considering Crop Rotation Rules Using a Mathematical Mixed Integer Programming Model </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammadali%20Abedini%20Sanigy">Mohammadali Abedini Sanigy</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiangang%20Fei"> Jiangang Fei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a mathematical optimization model was developed to maximize the profit in a vegetable production planning problem. It serves as a decision support system that assists farmers in land allocation to crops and harvest scheduling decisions. The developed model can handle different rotation rules in two consecutive cycles of production, which is a common practice in organic production system. Moreover, different production methods of the same crop were considered in the model formulation. The main strength of the model is that it is not restricted to predetermined production periods, which makes the planning more flexible. The model is classified as a mixed integer programming (MIP) model and formulated in PYOMO -a Python package to formulate optimization models- and solved via Gurobi and CPLEX optimizer packages. The model was tested with secondary data from 'Australian vegetable growing farms', and the results were obtained and discussed with the computational test runs. The results show that the model can successfully provide reliable solutions for real size problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20rotation" title="crop rotation">crop rotation</a>, <a href="https://publications.waset.org/abstracts/search?q=harvesting" title=" harvesting"> harvesting</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematical%20model%20formulation" title=" mathematical model formulation"> mathematical model formulation</a>, <a href="https://publications.waset.org/abstracts/search?q=vegetable%20production" title=" vegetable production"> vegetable production</a> </p> <a href="https://publications.waset.org/abstracts/109624/integrated-vegetable-production-planning-considering-crop-rotation-rules-using-a-mathematical-mixed-integer-programming-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109624.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">189</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">10530</span> A Heuristic Based Decomposition Approach for a Hierarchical Production Planning Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nusrat%20T.%20Chowdhury">Nusrat T. Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Baki"> M. F. Baki</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Azab"> A. Azab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The production planning problem is concerned with specifying the optimal quantities to produce in order to meet the demand for a prespecified planning horizon with the least possible expenditure. Making the right decisions in production planning will affect directly the performance and productivity of a manufacturing firm, which is important for its ability to compete in the market. Therefore, developing and improving solution procedures for production planning problems is very significant. In this paper, we develop a Dantzig-Wolfe decomposition of a multi-item hierarchical production planning problem with capacity constraint and present a column generation approach to solve the problem. The original Mixed Integer Linear Programming model of the problem is decomposed item by item into a master problem and a number of subproblems. The capacity constraint is considered as the linking constraint between the master problem and the subproblems. The subproblems are solved using the dynamic programming approach. We also propose a multi-step iterative capacity allocation heuristic procedure to handle any kind of infeasibility that arises while solving the problem. We compare the computational performance of the developed solution approach against the state-of-the-art heuristic procedure available in the literature. The results show that the proposed heuristic-based decomposition approach improves the solution quality by 20% as compared to the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inventory" title="inventory">inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-level%20capacitated%20lot-sizing" title=" multi-level capacitated lot-sizing"> multi-level capacitated lot-sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20control" title=" emission control"> emission control</a>, <a href="https://publications.waset.org/abstracts/search?q=setup%20carryover" title=" setup carryover"> setup carryover</a> </p> <a href="https://publications.waset.org/abstracts/112830/a-heuristic-based-decomposition-approach-for-a-hierarchical-production-planning-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112830.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">138</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">10529</span> A Mathematical Programming Model for Lot Sizing and Production Planning in Multi-Product Companies: A Case Study of Azar Battery Company</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farzad%20Jafarpour%20Taher">Farzad Jafarpour Taher</a>, <a href="https://publications.waset.org/abstracts/search?q=Maghsud%20Solimanpur"> Maghsud Solimanpur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Production planning is one of the complex tasks in multi-product firms that produce a wide range of products. Since resources in mass production companies are limited and different products use common resources, there must be a careful plan so that firms can respond to customer needs efficiently. Azar-battery Company is a firm that provides twenty types of products for its customers. Therefore, careful planning must be performed in this company. In this research, the current conditions of Azar-battery Company were investigated to provide a mathematical programming model to determine the optimum production rate of the products in this company. The production system of this company is multi-stage, multi-product and multi-period. This system is studied in terms of a one-year planning horizon regarding the capacity of machines and warehouse space limitation. The problem has been modeled as a linear programming model with deterministic demand in which shortage is not allowed. The objective function of this model is to minimize costs (including raw materials, assembly stage, energy costs, packaging, and holding). Finally, this model has been solved by Lingo software using the branch and bound approach. Since the computation time was very long, the solver interrupted, and the obtained feasible solution was used for comparison. The proposed model's solution costs have been compared to the company’s real data. This non-optimal solution reduces the total production costs of the company by about %35. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-period" title="multi-period">multi-period</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-product%20production" title=" multi-product production"> multi-product production</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-stage" title=" multi-stage"> multi-stage</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a> </p> <a href="https://publications.waset.org/abstracts/174173/a-mathematical-programming-model-for-lot-sizing-and-production-planning-in-multi-product-companies-a-case-study-of-azar-battery-company" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174173.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">98</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">10528</span> Production Planning for Animal Food Industry under Demand Uncertainty</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pirom%20Thangchitpianpol">Pirom Thangchitpianpol</a>, <a href="https://publications.waset.org/abstracts/search?q=Suttipong%20Jumroonrut"> Suttipong Jumroonrut</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research investigates the distribution of food demand for animal food and the optimum amount of that food production at minimum cost. The data consist of customer purchase orders for the food of laying hens, price of food for laying hens, cost per unit for the food inventory, cost related to food of laying hens in which the food is out of stock, such as fine, overtime, urgent purchase for material. They were collected from January, 1990 to December, 2013 from a factory in Nakhonratchasima province. The collected data are analyzed in order to explore the distribution of the monthly food demand for the laying hens and to see the rate of inventory per unit. The results are used in a stochastic linear programming model for aggregate planning in which the optimum production or minimum cost could be obtained. Programming algorithms in MATLAB and tools in Linprog software are used to get the solution. The distribution of the food demand for laying hens and the random numbers are used in the model. The study shows that the distribution of monthly food demand for laying has a normal distribution, the monthly average amount (unit: 30 kg) of production from January to December. The minimum total cost average for 12 months is Baht 62,329,181.77. Therefore, the production planning can reduce the cost by 14.64% from real cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=animal%20food" title="animal food">animal food</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20linear%20programming" title=" stochastic linear programming"> stochastic linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=aggregate%20planning" title=" aggregate planning"> aggregate planning</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20uncertainty" title=" demand uncertainty"> demand uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/10194/production-planning-for-animal-food-industry-under-demand-uncertainty" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10194.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">380</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">10527</span> Classification Framework of Production Planning and Scheduling Solutions from Supply Chain Management Perspective</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kwan%20Hee%20Han">Kwan Hee Han</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today’s business environments, frequent change of customer requirements is a tough challenge to manufacturing company. To cope with these challenges, a production planning and scheduling (PP&S) function might be established to provide accountability for both customer service and operational efficiency. Nowadays, many manufacturing firms have utilized PP&S software solutions to generate a realistic production plan and schedule to adapt to external changes efficiently. However, companies which consider the introduction of PP&S software solution, still have difficulties for selecting adequate solution to meet their specific needs. Since the task of PP&S is the one of major building blocks of SCM (Supply Chain Management) architecture, which deals with short term decision making in the production process of SCM, it is needed that the functionalities of PP&S should be analysed within the whole SCM process. The aim of this paper is to analyse the PP&S functionalities and its system architecture from the SCM perspective by using the criteria of level of planning hierarchy, major 4 SCM processes and problem-solving approaches, and finally propose a classification framework of PP&S solutions to facilitate the comparison among various commercial software solutions. By using proposed framework, several major PP&S solutions are classified and positioned according to their functional characteristics in this paper. By using this framework, practitioners who consider the introduction of computerized PP&S solutions in manufacturing firms can prepare evaluation and benchmarking sheets for selecting the most suitable solution with ease and in less time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title="production planning">production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20scheduling" title=" production scheduling"> production scheduling</a>, <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=the%20advanced%20planning%20system" title=" the advanced planning system"> the advanced planning system</a> </p> <a href="https://publications.waset.org/abstracts/96837/classification-framework-of-production-planning-and-scheduling-solutions-from-supply-chain-management-perspective" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96837.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">198</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">10526</span> Evaluating the Logistic Performance Capability of Regeneration Processes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thorben%20Kuprat">Thorben Kuprat</a>, <a href="https://publications.waset.org/abstracts/search?q=Julian%20Becker"> Julian Becker</a>, <a href="https://publications.waset.org/abstracts/search?q=Jonas%20Mayer"> Jonas Mayer</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Nyhuis"> Peter Nyhuis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For years now, it has been recognized that logistic performance capability contributes enormously to a production enterprise’s competitiveness and as such is a critical control lever. In doing so, the orientation on customer wishes (e.g. delivery dates) represents a key parameter not only in the value-adding production but also in product regeneration. Since production and regeneration processes have different characteristics, production planning and control measures cannot be directly transferred to regeneration processes. As part of a special research project, the Institute of Production Systems and Logistics Hannover is focused on increasing the logistic performance capability of regeneration processes for complex capital goods. The aim is to ensure logistic targets are met by implementing a model specifically designed to align the capacities and load in regeneration processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacity%20planning" title="capacity planning">capacity planning</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20capital%20goods" title=" complex capital goods"> complex capital goods</a>, <a href="https://publications.waset.org/abstracts/search?q=logistic%20performance" title=" logistic performance"> logistic performance</a>, <a href="https://publications.waset.org/abstracts/search?q=regeneration%20process" title=" regeneration process"> regeneration process</a> </p> <a href="https://publications.waset.org/abstracts/10591/evaluating-the-logistic-performance-capability-of-regeneration-processes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10591.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">489</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">10525</span> A Hybrid ICA-GA Algorithm for Solving Multiobjective Optimization of Production Planning Problems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omar%20Ramzi%20Jasim">Omar Ramzi Jasim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jalal%20Sultan%20Ashour"> Jalal Sultan Ashour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Production Planning or Master Production Schedule (MPS) is a key interface between marketing and manufacturing, since it links customer service directly to efficient use of production resources. Mismanagement of the MPS is considered as one of fundamental problems in operation and it can potentially lead to poor customer satisfaction. In this paper, a hybrid evolutionary algorithm (ICA-GA) is presented, which integrates the merits of both imperialist competitive algorithm (ICA) and genetic algorithm (GA) for solving multi-objective MPS problems. In the presented algorithm, the colonies in each empire has be represented a small population and communicate with each other using genetic operators. By testing on 5 production scenarios, the numerical results of ICA-GA algorithm show the efficiency and capabilities of the hybrid algorithm in finding the optimum solutions. The ICA-GA solutions yield the lower inventory level and keep customer satisfaction high and the required overtime is also lower, compared with results of GA and SA in all production scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=master%20production%20scheduling" title="master production scheduling">master production scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=imperialist%20competitive%20algorithm" title=" imperialist competitive algorithm"> imperialist competitive algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20algorithm" title=" hybrid algorithm"> hybrid algorithm</a> </p> <a href="https://publications.waset.org/abstracts/46493/a-hybrid-ica-ga-algorithm-for-solving-multiobjective-optimization-of-production-planning-problems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46493.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">470</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">10524</span> Multi-Objective Production Planning Problem: A Case Study of Certain and Uncertain Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahteshamul%20Haq">Ahteshamul Haq</a>, <a href="https://publications.waset.org/abstracts/search?q=Srikant%20Gupta"> Srikant Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Murshid%20Kamal"> Murshid Kamal</a>, <a href="https://publications.waset.org/abstracts/search?q=Irfan%20Ali"> Irfan Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This case study designs and builds a multi-objective production planning model for a hardware firm with certain & uncertain data. During the time of interaction with the manager of the firm, they indicate some of the parameters may be vague. This vagueness in the formulated model is handled by the concept of fuzzy set theory. Triangular & Trapezoidal fuzzy numbers are used to represent the uncertainty in the collected data. The fuzzy nature is de-fuzzified into the crisp form using well-known defuzzification method via graded mean integration representation method. The proposed model attempts to maximize the production of the firm, profit related to the manufactured items & minimize the carrying inventory costs in both certain & uncertain environment. The recommended optimal plan is determined via fuzzy programming approach, and the formulated models are solved by using optimizing software LINGO 16.0 for getting the optimal production plan. The proposed model yields an efficient compromise solution with the overall satisfaction of decision maker. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20planning%20problem" title="production planning problem">production planning problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-objective%20optimization" title=" multi-objective optimization"> multi-objective optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20programming" title=" fuzzy programming"> fuzzy programming</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20sets" title=" fuzzy sets"> fuzzy sets</a> </p> <a href="https://publications.waset.org/abstracts/77424/multi-objective-production-planning-problem-a-case-study-of-certain-and-uncertain-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77424.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">213</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">10523</span> An Evaluation Model for Enhancing Flexibility in Production Systems through Additive Manufacturing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Angela%20Luft">Angela Luft</a>, <a href="https://publications.waset.org/abstracts/search?q=Sebastian%20Bremen"> Sebastian Bremen</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicolae%20Balc"> Nicolae Balc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Additive manufacturing processes have entered large parts of the industry and their range of application have progressed and grown significantly in the course of time. A major advantage of additive manufacturing is the innate flexibility of the machines. This corelates with the ongoing demand of creating highly flexible production environments. However, the potential of additive manufacturing technologies to enhance the flexibility of production systems has not yet been truly considered and quantified in a systematic way. In order to determine the potential of additive manufacturing technologies with regards to the strategic flexibility design in production systems, an integrated evaluation model has been developed, that allows for the simultaneous consideration of both conventional as well as additive production resources. With the described model, an operational scope of action can be identified and quantified in terms of mix and volume flexibility, process complexity, and machine capacity that goes beyond the current cost-oriented approaches and offers a much broader and more holistic view on the potential of additive manufacturing. A respective evaluation model is presented this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=additive%20manufacturing" title="additive manufacturing">additive manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity%20planning" title=" capacity planning"> capacity planning</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20systems" title=" production systems"> production systems</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20production%20planning" title=" strategic production planning"> strategic production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=flexibility%20enhancement" title=" flexibility enhancement"> flexibility enhancement</a> </p> <a href="https://publications.waset.org/abstracts/149112/an-evaluation-model-for-enhancing-flexibility-in-production-systems-through-additive-manufacturing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149112.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">157</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">10522</span> Production Planning, Scheduling and SME</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Markus%20Heck">Markus Heck</a>, <a href="https://publications.waset.org/abstracts/search?q=Hans%20Vettiger"> Hans Vettiger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Small and medium-sized enterprises (SME) are the backbone of central Europe’s economies and have a significant contribution to the gross domestic product. Production planning and scheduling (PPS) is still a crucial element in manufacturing industries of the 21st century even though this area of research is more than a century old. The topic of PPS is well researched especially in the context of large enterprises in the manufacturing industry. However, the implementation of PPS methodologies within SME is mostly unobserved. This work analyzes how PPS is implemented in SME with the geographical focus on Switzerland and its vicinity. Based on restricted resources compared to large enterprises, SME have to face different challenges. The real problem areas of selected enterprises in regards of PPS are identified and evaluated. For the identified real-life problem areas of SME clear and detailed recommendations are created, covering concepts and best practices and the efficient usage of PPS. Furthermore, the economic and entrepreneurial value for companies is lined out and why the implementation of the introduced recommendations is advised. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=central%20Europe" title="central Europe">central Europe</a>, <a href="https://publications.waset.org/abstracts/search?q=PPS" title=" PPS"> PPS</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=SME" title=" SME"> SME</a> </p> <a href="https://publications.waset.org/abstracts/11509/production-planning-scheduling-and-sme" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11509.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">391</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">10521</span> Effectuation in Production: How Production Managers Can Apply Decision-Making Techniques of Successful Entrepreneurs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Malte%20Brettel">Malte Brettel</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Bendig"> David Bendig</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Keller"> Michael Keller</a>, <a href="https://publications.waset.org/abstracts/search?q=Marius%20Rosenberg"> Marius Rosenberg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> What are the core competences necessary in order to sustain manufacturing in high-wage countries? Aspiring countries all over the world gain market share in manufacturing and rapidly close the productivity and quality gap that has until now protected some parts of the industry in Europe and the United States from dislocation. However, causal production planning and manufacturing, the basis for productivity and quality, is challenged by the ever-greater need for flexibility and customized products in an uncertain business environment. This article uses a case-study-based approach to assess how production managers in high-wage countries can apply decision-making principals from successful entrepreneurs. 'Effectuation' instead of causal decision making can be applied to handle uncertainty of mass customization, to seek the right partners in alliances and to advance towards virtual production. The findings help managers to use their resources more efficiently and contribute to bridge the gap between production research and entrepreneurship. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case%20studies" title="case studies">case studies</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making%20behavior" title=" decision-making behavior"> decision-making behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=effectuation" title=" effectuation"> effectuation</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a> </p> <a href="https://publications.waset.org/abstracts/4370/effectuation-in-production-how-production-managers-can-apply-decision-making-techniques-of-successful-entrepreneurs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4370.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">348</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">10520</span> Planning of Construction Material Flow Using Hybrid Simulation Modeling </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20Naraghi">A. M. Naraghi</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Gonzalez"> V. Gonzalez</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20O%27Sullivan"> M. O'Sullivan</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20G.%20Walker"> C. G. Walker</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Poshdar"> M. Poshdar</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Ying"> F. Ying</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Abdelmegid"> M. Abdelmegid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Discrete Event Simulation (DES) and Agent Based Simulation (ABS) are two simulation approaches that have been proposed to support decision-making in the construction industry. Despite the wide use of these simulation approaches in the construction field, their applications for production and material planning is still limited. This is largely due to the dynamic and complex nature of construction material supply chain systems. Moreover, managing the flow of construction material is not well integrated with site logistics in traditional construction planning methods. This paper presents a hybrid of DES and ABS to simulate on-site and off-site material supply processes. DES is applied to determine the best production scenarios with information of on-site production systems, while ABS is used to optimize the supply chain network. A case study of a construction piling project in New Zealand is presented illustrating the potential benefits of using the proposed hybrid simulation model in construction material flow planning. The hybrid model presented can be used to evaluate the impact of different decisions on construction supply chain management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=construction%20supply-chain%20management" title="construction supply-chain management">construction supply-chain management</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation%20modeling" title=" simulation modeling"> simulation modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-support%20tools" title=" decision-support tools"> decision-support tools</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20simulation" title=" hybrid simulation"> hybrid simulation</a> </p> <a href="https://publications.waset.org/abstracts/103280/planning-of-construction-material-flow-using-hybrid-simulation-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103280.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">207</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">10519</span> Most Important Educational Planning Issues in the Developing Countries </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naeem%20Khan">Naeem Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In 1971 Williams in his essay titled "What Educational Planning is About in Higher Education" defined educational planning as "planning in education, as in anything else consist essentially of deciding, in advance, what you want, to do and how you are going to do in". In the “World Year book of Education”. While Anderson and Bowman in 1976 in their joint article titled "Theoretical Considerations in Educational Planning" defined it as "the process of preparing a set of decisions for future action pertaining in education". There are so many other definitions which are related to educational planning in which every one stress on the importance of educational planning. But developing countries face a lot of problems related to the educational planning and this paper is to discuss few of them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=educational%20planning" title="educational planning">educational planning</a>, <a href="https://publications.waset.org/abstracts/search?q=problems" title=" problems"> problems</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20countries" title=" developing countries"> developing countries</a>, <a href="https://publications.waset.org/abstracts/search?q=education%20system" title=" education system"> education system</a>, <a href="https://publications.waset.org/abstracts/search?q=" title=" "> </a> </p> <a href="https://publications.waset.org/abstracts/22287/most-important-educational-planning-issues-in-the-developing-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22287.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">554</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">10518</span> Multi-Stage Multi-Period Production Planning in Wire and Cable Industry </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahnaz%20Hosseinzadeh">Mahnaz Hosseinzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Shaghayegh%20Rezaee%20Amiri"> Shaghayegh Rezaee Amiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a methodology for serial production planning problem in wire and cable manufacturing process that addresses the problem of input-output imbalance in different consecutive stations, hoping to minimize the halt of machines in each stage. To this end, a linear Goal Programming (GP) model is developed, in which four main categories of constraints as per the number of runs per machine, machines’ sequences, acceptable inventories of machines at the end of each period, and the necessity of fulfillment of the customers’ orders are considered. The model is formulated based upon on the real data obtained from IKO TAK Company, an important supplier of wire and cable for oil and gas and automotive industries in Iran. By solving the model in GAMS software the optimal number of runs, end-of-period inventories, and the possible minimum idle time for each machine are calculated. The application of the numerical results in the target company has shown the efficiency of the proposed model and the solution in decreasing the lead time of the end product delivery to the customers by 20%. Accordingly, the developed model could be easily applied in wire and cable companies for the aim of optimal production planning to reduce the halt of machines in manufacturing stages. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=goal%20programming%20approach" title="goal programming approach">goal programming approach</a>, <a href="https://publications.waset.org/abstracts/search?q=GP" title=" GP"> GP</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title=" production planning"> production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=serial%20manufacturing%20process" title=" serial manufacturing process"> serial manufacturing process</a>, <a href="https://publications.waset.org/abstracts/search?q=wire%20and%20cable%20industry" title=" wire and cable industry"> wire and cable industry</a> </p> <a href="https://publications.waset.org/abstracts/95675/multi-stage-multi-period-production-planning-in-wire-and-cable-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95675.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">161</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">10517</span> Reducing Inventory Costs by Reducing Inventory Levels: Kuwait Flour Mills and Bakeries Company</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dana%20Al-Qattan">Dana Al-Qattan</a>, <a href="https://publications.waset.org/abstracts/search?q=Faiza%20Goodarzi"> Faiza Goodarzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Heba%20Al-Resheedan"> Heba Al-Resheedan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kawther%20Shehab"> Kawther Shehab</a>, <a href="https://publications.waset.org/abstracts/search?q=Shoug%20Al-Ansari"> Shoug Al-Ansari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This project involves working with different types of forecasting methods and facility planning tools to help the company we have chosen to improve and reduce its inventory, increase its sales, and decrease its wastes and losses. The methods that have been used by the company have shown no improvement in decreasing the annual losses. The research made in the company has shown that no interest has been made in exploring different techniques to help the company. In this report, we introduce several methods and techniques that will help the company make more accurate forecasts and use of the available space efficiently. We expect our approach to reduce costs without affecting the quality of the product, and hence making production more viable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production%20planning" title="production planning">production planning</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20management" title=" inventory management"> inventory management</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20control" title=" inventory control"> inventory control</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=facility%20planning%20and%20design" title=" facility planning and design"> facility planning and design</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering%20economy%20and%20costs" title=" engineering economy and costs"> engineering economy and costs</a> </p> <a href="https://publications.waset.org/abstracts/9187/reducing-inventory-costs-by-reducing-inventory-levels-kuwait-flour-mills-and-bakeries-company" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9187.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">570</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=production%20planning&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=production%20planning&page=3">3</a></li> <li class="page-item"><a class="page-link" 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