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inventory</title> <meta name="description" content="Search results for: hybrid inventory"> <meta name="keywords" content="hybrid inventory"> <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="hybrid inventory"> <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> 2481</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: hybrid inventory</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2481</span> Hybrid Inventory Model Optimization under Uncertainties: A Case Study in a Manufacturing Plant</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Benga">E. Benga</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Tengen"> T. Tengen</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Alugongo"> A. Alugongo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Periodic and continuous inventory models are the two classical management tools used to handle inventories. These models have advantages and disadvantages. The implementation of both continuous (r,Q) inventory and periodic (R, S) inventory models in most manufacturing plants comes with higher cost. Such high inventory costs are due to the fact that most manufacturing plants are not flexible enough. Since demand and lead-time are two important variables of every inventory models, their effect on the flexibility of the manufacturing plant matter most. Unfortunately, these effects are not clearly understood by managers. The reason is that the decision parameters of the continuous (r, Q) inventory and periodic (R, S) inventory models are not designed to effectively deal with the issues of uncertainties such as poor manufacturing performances, delivery performance supplies performances. There is, therefore, a need to come up with a predictive and hybrid inventory model that can combine in some sense the feature of the aforementioned inventory models. A linear combination technique is used to hybridize both continuous (r, Q) inventory and periodic (R, S) inventory models. The behavior of such hybrid inventory model is described by a differential equation and then optimized. From the results obtained after simulation, the continuous (r, Q) inventory model is more effective than the periodic (R, S) inventory models in the short run, but this difference changes as time goes by. Because the hybrid inventory model is more cost effective than the continuous (r,Q) inventory and periodic (R, S) inventory models in long run, it should be implemented for strategic decisions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=periodic%20inventory" title="periodic inventory">periodic inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=continuous%20inventory" title=" continuous inventory"> continuous inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20inventory" title=" hybrid inventory"> hybrid inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=manufacturing%20plant" title=" manufacturing plant"> manufacturing plant</a> </p> <a href="https://publications.waset.org/abstracts/64054/hybrid-inventory-model-optimization-under-uncertainties-a-case-study-in-a-manufacturing-plant" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64054.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">382</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">2480</span> Optimizing a Hybrid Inventory System with Random Demand and Lead Time</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benga%20Ebouele">Benga Ebouele</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Tengen"> Thomas Tengen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementing either periodic or continuous inventory review model within most manufacturing-companies-supply chains as a management tool may incur higher costs. These high costs affect the system flexibility which in turn affects the level of service required to satisfy customers. However, these effects are not clearly understood because the parameters of both inventory review policies (protection demand interval, order quantity, etc.) are not designed to be fully utilized under different and uncertain conditions such as poor manufacturing, supplies and delivery performance. Coming up with a hybrid model which may combine in some sense the feature of both continuous and a periodic inventory review models should be useful. Therefore, there is a need to build and evaluate such hybrid model on the annual total cost, stock out probability and system’s flexibility in order to search for the most cost effective inventory review model. This work also seeks to find the optimal sets of parameters of inventory management under stochastic condition so as to optimise each policy independently. The results reveal that a continuous inventory system always incurs lesser cost than a periodic (R, S) inventory system, but this difference tends to decrease as time goes by. Although the hybrid inventory is the only one that can yield lesser cost over time, it is not always desirable but also natural to use it in order to help the system to meet high performance specification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20and%20lead%20time%20randomness" title="demand and lead time randomness">demand and lead time randomness</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20Inventory%20model" title=" hybrid Inventory model"> hybrid Inventory model</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</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/41794/optimizing-a-hybrid-inventory-system-with-random-demand-and-lead-time" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41794.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">313</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">2479</span> A Dynamical Approach for Relating Energy Consumption to Hybrid Inventory Level in the Supply Chain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benga%20Ebouele">Benga Ebouele</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Tengen"> Thomas Tengen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to long lead time, work in process (WIP) inventory can manifest within the supply chain of most manufacturing system. It implies that there are lesser finished good on hand and more in the process because the work remains in the factory too long and cannot be sold to either customers The supply chain of most manufacturing system is then considered as inefficient as it take so much time to produce the finished good. Time consumed in each operation of the supply chain has an associated energy costs. Such phenomena can be harmful for a hybrid inventory system because a lot of space to store these semi-finished goods may be needed and one is not sure about the final energy cost of producing, holding and delivering the good to customers. The principle that reduces waste of energy within the supply chain of most manufacturing firms should therefore be available to all inventory managers in pursuit of profitability. Decision making by inventory managers in this condition is a modeling process, whereby a dynamical approach is used to depict, examine, specify and even operationalize the relationship between energy consumption and hybrid inventory level. The relationship between energy consumption and inventory level is established, which indicates a poor level of control and hence a potential for energy savings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20modelling" title="dynamic modelling">dynamic modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20used" title=" energy used"> energy used</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20inventory" title=" hybrid inventory"> hybrid inventory</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/41799/a-dynamical-approach-for-relating-energy-consumption-to-hybrid-inventory-level-in-the-supply-chain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41799.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">268</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">2478</span> Inventory Decisions for Perishable Products with Age and Stock Dependent Demand Rate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maher%20Agi">Maher Agi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hardik%20Soni"> Hardik Soni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a deterministic model for optimized control of the inventory of a perishable product subject to both physical deterioration and degradation of its freshness condition. The demand for the product depends on its current inventory level and freshness condition. Our model allows for any positive amount of end of cycle inventory. Some useful conditions that characterize the optimal solution of the model are derived and an algorithm is presented for finding the optimal values of the price, the inventory cycle, the end of cycle inventory level and the order quantity. Numerical examples are then given. Our work shows how the product freshness in conjunction with the inventory deterioration affects the inventory management decisions. <p class="card-text"><strong>Keywords:</strong> <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=lot%20sizing" title=" lot sizing"> lot sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=perishable%20products" title=" perishable products"> perishable products</a>, <a href="https://publications.waset.org/abstracts/search?q=deteriorating%20inventory" title=" deteriorating inventory"> deteriorating inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=age-dependent%20demand" title=" age-dependent demand"> age-dependent demand</a>, <a href="https://publications.waset.org/abstracts/search?q=stock-dependent%20demand" title=" stock-dependent demand"> stock-dependent demand</a> </p> <a href="https://publications.waset.org/abstracts/86620/inventory-decisions-for-perishable-products-with-age-and-stock-dependent-demand-rate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86620.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">234</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">2477</span> A Metaheuristic Approach for Optimizing Perishable Goods Distribution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bahare%20Askarian">Bahare Askarian</a>, <a href="https://publications.waset.org/abstracts/search?q=Suchithra%20Rajendran"> Suchithra Rajendran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maintaining the freshness and quality of perishable goods during distribution is a critical challenge for logistics companies. This study presents a comprehensive framework aimed at optimizing the distribution of perishable goods through a mathematical model of the Transportation Inventory Location Routing Problem (TILRP). The model incorporates the impact of product age on customer demand, addressing the complexities associated with inventory management and routing. To tackle this problem, we develop both simple and hybrid metaheuristic algorithms designed for small- and medium-scale scenarios. The hybrid algorithm combines Biogeographical Based Optimization (BBO) algorithms with local search techniques to enhance performance in small- and medium-scale scenarios, extending our approach to larger-scale challenges. Through extensive numerical simulations and sensitivity analyses across various scenarios, the performance of the proposed algorithms is evaluated, assessing their effectiveness in achieving optimal solutions. The results demonstrate that our algorithms significantly enhance distribution efficiency, offering valuable insights for logistics companies striving to improve their perishable goods supply chains. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=perishable%20goods" title="perishable goods">perishable goods</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-heuristic%20algorithm" title=" meta-heuristic algorithm"> meta-heuristic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20problem" title=" vehicle problem"> vehicle problem</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20models" title=" inventory models"> inventory models</a> </p> <a href="https://publications.waset.org/abstracts/191964/a-metaheuristic-approach-for-optimizing-perishable-goods-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191964.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">19</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">2476</span> Modeling the Three - Echelon Repairable Parts Inventory System under (S-1, S) Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rohit%20Kapoor">Rohit Kapoor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an attempt is made to formulate 3-echelon repairable parts inventory system under (S-1, S) policy. This analytical model is the extension of an exact formulation of two - echelon repairable parts inventory system, already reported in the established literature. In the present paper, we try to formulate the total cost expression consisting of two components, viz., system investment cost and expected backorder cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=%28S-1" title="(S-1">(S-1</a>, <a href="https://publications.waset.org/abstracts/search?q=S%29%20inventory%20policy" title=" S) inventory policy"> S) inventory policy</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-echelon%20inventory%20system" title=" multi-echelon inventory system"> multi-echelon inventory system</a>, <a href="https://publications.waset.org/abstracts/search?q=repairable%20parts" title=" repairable parts"> repairable parts</a> </p> <a href="https://publications.waset.org/abstracts/36101/modeling-the-three-echelon-repairable-parts-inventory-system-under-s-1-s-policy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36101.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">539</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">2475</span> Ranking of Inventory Policies Using Distance Based Approach Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gupta%20Amit">Gupta Amit</a>, <a href="https://publications.waset.org/abstracts/search?q=Kumar%20Ramesh"> Kumar Ramesh</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20C.%20Tewari"> P. C. Tewari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Globalization is putting enormous pressure on the business organizations specially manufacturing one to rethink the supply chain in innovative manners. Inventory consumes major portion of total sale revenue. Effective and efficient inventory management plays a vital role for the successful functioning of any organization. Selection of inventory policy is one of the important purchasing activities. This paper focuses on selection and ranking of alternative inventory policies. A deterministic quantitative model-based on Distance Based Approach (DBA) method has been developed for evaluation and ranking of inventory policies. We have employed this concept first time for this type of the selection problem. Four inventory policies Economic Order Quantity (EOQ), Just in Time (JIT), Vendor Managed Inventory (VMI) and monthly policy are considered. Improper selection could affect a company’s competitiveness in terms of the productivity of its facilities and quality of its products. The ranking of inventory policies is a multi-criteria problem. There is a need to first identify the selection criteria and then processes the information with reference to relative importance of attributes for comparison. Criteria values for each inventory policy can be obtained either analytically or by using a simulation technique or they are linguistic subjective judgments defined by fuzzy sets, like, for example, the values of criteria. A methodology is developed and applied to rank the inventory policies. <p class="card-text"><strong>Keywords:</strong> <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=ranking" title=" ranking"> ranking</a>, <a href="https://publications.waset.org/abstracts/search?q=DBA" title=" DBA"> DBA</a>, <a href="https://publications.waset.org/abstracts/search?q=selection%20criteria" title=" selection criteria"> selection criteria</a> </p> <a href="https://publications.waset.org/abstracts/1726/ranking-of-inventory-policies-using-distance-based-approach-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1726.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">390</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">2474</span> Two-Warehouse Inventory Model for Deteriorating Items with Inventory-Level-Dependent Demand under Two Dispatching Policies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Zhao">Lei Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhe%20Yuan"> Zhe Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenyue%20Kuang"> Wenyue Kuang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper studies two-warehouse inventory models for a deteriorating item considering that the demand is influenced by inventory levels. The problem mainly focuses on the optimal order policy and the optimal order cycle with inventory-level-dependent demand in two-warehouse system for retailers. It considers the different deterioration rates and the inventory holding costs in owned warehouse (OW) and rented warehouse (RW), and the conditions of transportation cost, allowed shortage and partial backlogging. Two inventory models are formulated: last-in first-out (LIFO) model and first-in-first-out (FIFO) model based on the policy choices of LIFO and FIFO, and a comparative analysis of LIFO model and FIFO model is made. The study finds that the FIFO policy is more in line with realistic operating conditions. Especially when the inventory holding cost of OW is high, and there is no difference or big difference between deterioration rates of OW and RW, the FIFO policy has better applicability. Meanwhile, this paper considers the differences between the effects of warehouse and shelf inventory levels on demand, and then builds retailers’ inventory decision model and studies the factors of the optimal order quantity, the optimal order cycle and the average inventory cost per unit time. To minimize the average total cost, the optimal dispatching policies are provided for retailers’ decisions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FIFO%20model" title="FIFO model">FIFO model</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory-level-dependent" title=" inventory-level-dependent"> inventory-level-dependent</a>, <a href="https://publications.waset.org/abstracts/search?q=LIFO%20model" title=" LIFO model"> LIFO model</a>, <a href="https://publications.waset.org/abstracts/search?q=two-warehouse%20inventory" title=" two-warehouse inventory"> two-warehouse inventory</a> </p> <a href="https://publications.waset.org/abstracts/50101/two-warehouse-inventory-model-for-deteriorating-items-with-inventory-level-dependent-demand-under-two-dispatching-policies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50101.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">279</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">2473</span> Improving Sales through Inventory Reduction: A Retail Chain Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20G.%20Mattos">M. G. Mattos</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20E.%20P%C3%A9cora%20Jr"> J. E. Pécora Jr</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20A.%20Briso"> T. A. Briso</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today's challenging business environment, with unpredictable demand and volatility, requires a supply chain strategy that handles uncertainty and risks in the right way. Even though inventory models have been previously explored, this paper seeks to apply these concepts on a practical situation. This study involves the inventory replenishment problem, applying techniques that are mainly based on mathematical assumptions and modeling. The primary goal is to improve the retailer’s supply chain processes taking store differences when setting the various target stock levels. Through inventory review policy, picking piece implementation and minimum exposure definition, we were able not only to promote the inventory reduction as well as improve sales results. The inventory management theory from literature review was then tested on a single case study regarding a particular department in one of the largest Latam retail chains. <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=distribution" title=" distribution"> distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=retail" title=" retail"> retail</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20stock" title=" safety stock"> safety stock</a>, <a href="https://publications.waset.org/abstracts/search?q=sales" title=" sales"> sales</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertainty" title=" uncertainty"> uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/78978/improving-sales-through-inventory-reduction-a-retail-chain-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78978.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">268</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">2472</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">2471</span> Advance Hybrid Manufacturing Supply Chain System to Get Benefits of Push and Pull Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akhtar%20Nawaz">Akhtar Nawaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Noor"> Sahar Noor</a>, <a href="https://publications.waset.org/abstracts/search?q=Iftikhar%20Hussain"> Iftikhar Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper considers advanced hybrid manufacturing planning both push and pull system in which each customer order has a due date by demand forecast and customer orders. We present a tool for model for tool development that requires an absolute due dates and customer orders in a manufacturing supply chain. It is vital for the manufacturing companies to face the problem of variations in demands, increase in varieties by maintaining safety stock and to minimize components obsolescence and uselessness. High inventory cost and low delivery lead time is expected in push type of system and on contrary high delivery lead time and low inventory cost is predicted in the pull type. For this tool for model we need an MRP system for the push and pull environment and control of inventories in push parts and lead time in the pull part. To retain process data quickly, completely and to improve responsiveness and minimize inventory cost, a tool is required to deal with the high product variance and short cycle parts. In practice, planning and scheduling are interrelated and should be solved simultaneously with supply chain to ensure that the due dates of customer orders are met. The proposed tool for model considers alternative process plans for job types, with precedence constraints for job operations. Such a tool for model has not been treated in the literature. To solve the model, tool was developed, so a new technique was required to deal with the issue of high product variance and short life cycles in assemble to order. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hybrid%20manufacturing%20system" title="hybrid manufacturing system">hybrid manufacturing system</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20system" title=" supply chain system"> supply chain system</a>, <a href="https://publications.waset.org/abstracts/search?q=make%20to%20order" title=" make to order"> make to order</a>, <a href="https://publications.waset.org/abstracts/search?q=make%20to%20stock" title=" make to stock"> make to stock</a>, <a href="https://publications.waset.org/abstracts/search?q=assemble%20to%20order" title=" assemble to order"> assemble to order</a> </p> <a href="https://publications.waset.org/abstracts/19416/advance-hybrid-manufacturing-supply-chain-system-to-get-benefits-of-push-and-pull-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19416.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">564</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">2470</span> Sensitive Analysis of the ZF Model for ABC Multi Criteria Inventory Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Makram%20Ben%20Jeddou">Makram Ben Jeddou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The ABC classification is widely used by managers for inventory control. The classical ABC classification is based on the Pareto principle and according to the criterion of the annual use value only. Single criterion classification is often insufficient for a closely inventory control. Multi-criteria inventory classification models have been proposed by researchers in order to take into account other important criteria. From these models, we will consider the ZF model in order to make a sensitive analysis on the composite score calculated for each item. In fact, this score based on a normalized average between a good and a bad optimized index can affect the ABC items classification. We will then focus on the weights assigned to each index and propose a classification compromise. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ABC%20classification" title="ABC classification">ABC classification</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20criteria%20inventory%20%20classification%20models" title=" multi criteria inventory classification models"> multi criteria inventory classification models</a>, <a href="https://publications.waset.org/abstracts/search?q=ZF-model" title=" ZF-model"> ZF-model</a> </p> <a href="https://publications.waset.org/abstracts/22613/sensitive-analysis-of-the-zf-model-for-abc-multi-criteria-inventory-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22613.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">508</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">2469</span> Developing NAND Flash-Memory SSD-Based File System Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jaechun%20No">Jaechun No</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper focuses on I/O optimizations of N-hybrid (New-Form of hybrid), which provides a hybrid file system space constructed on SSD and HDD. Although the promising potentials of SSD, such as the absence of mechanical moving overhead and high random I/O throughput, have drawn a lot of attentions from IT enterprises, its high ratio of cost/capacity makes it less desirable to build a large-scale data storage subsystem composed of only SSDs. In this paper, we present N-hybrid that attempts to integrate the strengths of SSD and HDD, to offer a single, large hybrid file system space. Several experiments were conducted to verify the performance of N-hybrid. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SSD" title="SSD">SSD</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20section" title=" data section"> data section</a>, <a href="https://publications.waset.org/abstracts/search?q=I%2FO%20optimizations" title=" I/O optimizations"> I/O optimizations</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20system" title=" hybrid system"> hybrid system</a> </p> <a href="https://publications.waset.org/abstracts/32385/developing-nand-flash-memory-ssd-based-file-system-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32385.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">418</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">2468</span> Inventory Management System of Seasonal Raw Materials of Feeds at San Jose Batangas through Integer Linear Programming and VBA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Glenda%20Marie%20D.%20Balitaan">Glenda Marie D. Balitaan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The branch of business management that deals with inventory planning and control is known as inventory management. It comprises keeping track of supply levels and forecasting demand, as well as scheduling when and how to plan. Keeping excess inventory results in a loss of money, takes up physical space, and raises the risk of damage, spoilage, and loss. On the other hand, too little inventory frequently causes operations to be disrupted and raises the possibility of low customer satisfaction, both of which can be detrimental to a company's reputation. The United Victorious Feed mill Corporation's present inventory management practices were assessed in terms of inventory level, warehouse allocation, ordering frequency, shelf life, and production requirement. To help the company achieve their optimal level of inventory, a mathematical model was created using Integer Linear Programming. Due to the season, the goal function was to reduce the cost of purchasing US Soya and Yellow Corn. Warehouse space, annual production requirements, and shelf life were all considered. To ensure that the user only uses one application to record all relevant information, like production output and delivery, the researcher built a Visual Basic system. Additionally, the technology allows management to change the model's parameters. <p class="card-text"><strong>Keywords:</strong> <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=integer%20linear%20programming" title=" integer linear programming"> integer linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20management%20system" title=" inventory management system"> inventory management system</a>, <a href="https://publications.waset.org/abstracts/search?q=feed%20mill" title=" feed mill"> feed mill</a> </p> <a href="https://publications.waset.org/abstracts/160839/inventory-management-system-of-seasonal-raw-materials-of-feeds-at-san-jose-batangas-through-integer-linear-programming-and-vba" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160839.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">83</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">2467</span> Estimation of PM2.5 Emissions and Source Apportionment Using Receptor and Dispersion Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Swetha%20Priya%20Darshini%20Thammadi">Swetha Priya Darshini Thammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sateesh%20Kumar%20Pisini"> Sateesh Kumar Pisini</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20Kumar%20Shukla"> Sanjay Kumar Shukla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Source apportionment using Dispersion model depends primarily on the quality of Emission Inventory. In the present study, a CMB receptor model has been used to identify the sources of PM<sub>2.5</sub>, while the AERMOD dispersion model has been used to account for missing sources of PM<sub>2.5 </sub>in the Emission Inventory. A statistical approach has been developed to quantify the missing sources not considered in the Emission Inventory. The inventory of each grid was improved by adjusting emissions based on road lengths and deficit in measured and modelled concentrations. The results showed that in CMB analyses, fugitive sources - soil and road dust - contribute significantly to ambient PM<sub>2.5</sub> pollution. As a result, AERMOD significantly underestimated the ambient air concentration at most locations. The revised Emission Inventory showed a significant improvement in AERMOD performance which is evident through statistical tests. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CMB" title="CMB">CMB</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=AERMOD" title=" AERMOD"> AERMOD</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title=" PM₂.₅"> PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=fugitive" title=" fugitive"> fugitive</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20inventory" title=" emission inventory"> emission inventory</a> </p> <a href="https://publications.waset.org/abstracts/95921/estimation-of-pm25-emissions-and-source-apportionment-using-receptor-and-dispersion-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95921.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">340</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">2466</span> Simulating Economic Order Quantity and Reorder Point Policy for a Repairable Items Inventory System </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mojahid%20F.%20Saeed%20Osman">Mojahid F. Saeed Osman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Repairable items inventory system is a management tool used to incorporate all information concerning inventory levels and movements for repaired and new items. This paper presents development of an effective simulation model for managing the inventory of repairable items for a production system where production lines send their faulty items to a repair shop considering the stochastic failure behavior and repair times. The developed model imitates the process of handling the on-hand inventory of repaired items and the replenishment of the inventory of new items using Economic Order Quantity and Reorder Point ordering policy in a flexible and risk-free environment. We demonstrate the appropriateness and effectiveness of the proposed simulation model using an illustrative case problem. The developed simulation model can be used as a reliable tool for estimating a healthy on-hand inventory of new and repaired items, backordered items, and downtime due to unavailability of repaired items, and validating and examining Economic Order Quantity and Reorder Point ordering policy, which would further be compared with other ordering strategies as future work. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inventory%20system" title="inventory system">inventory system</a>, <a href="https://publications.waset.org/abstracts/search?q=repairable%20items" title=" repairable items"> repairable items</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance" title=" maintenance"> maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20order%20quantity" title=" economic order quantity"> economic order quantity</a>, <a href="https://publications.waset.org/abstracts/search?q=reorder%20point" title=" reorder point"> reorder point</a> </p> <a href="https://publications.waset.org/abstracts/122752/simulating-economic-order-quantity-and-reorder-point-policy-for-a-repairable-items-inventory-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122752.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">144</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">2465</span> The Properties of Na2CO3 and Ti Hybrid Modified LM 6 Alloy Using Ladle Metallurgy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20N.%20Ervina%20Efzan">M. N. Ervina Efzan</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20J.%20Kong"> H. J. Kong</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20K.%20Kok"> C. K. Kok</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present work deals with a study on the influences of hybrid modifier on LM 6 added through ladle metallurgy. In this study, LM 6 served as the reference alloy while Na2CO3 and Ti powders were used as the hybrid modifier. The effects of hybrid modifier on the micro structural enhancement of LM 6 were investigated using optical microscope (OM) and Scanning Electron Microscope (SEM). The results showed fragmented Si-rich needles and strength enhanced petal/ globular-like structures without obvious formation of soft primary α-Al and β-Fe-rich inter metallic compound (IMC) after the hybrid modification. Hardness test was conducted to examine the mechanical improvement of hybrid modified LM 6. 10% of hardness improvement was recorded in the hybrid modified LM 6 through ladle metallurgy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Al-Si" title="Al-Si">Al-Si</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20modifier" title=" hybrid modifier"> hybrid modifier</a>, <a href="https://publications.waset.org/abstracts/search?q=ladle%20metallurgy" title=" ladle metallurgy"> ladle metallurgy</a>, <a href="https://publications.waset.org/abstracts/search?q=hardness" title=" hardness"> hardness</a> </p> <a href="https://publications.waset.org/abstracts/10819/the-properties-of-na2co3-and-ti-hybrid-modified-lm-6-alloy-using-ladle-metallurgy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10819.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">395</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">2464</span> Inventory Policy Above Country Level for Cooperating Countries for Vaccines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aysun%20P%C4%B1narba%C5%9F%C4%B1">Aysun Pınarbaşı</a>, <a href="https://publications.waset.org/abstracts/search?q=B%C3%A9la%20Vizv%C3%A1ri"> Béla Vizvári</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The countries are the units that procure the vaccines during the COVID-19 pandemic. The delivered quantities are huge. The countries must bear the inventory holding cost according to the variation of stock quantities. This cost depends on the speed of the vaccination in the country. This speed is time-dependent. The vaccinated portion of the population can be approximated by the cumulative distribution function of the Cauchy distribution. A model is provided for determining the minimal-cost inventory policy, and its optimality conditions are provided. The model is solved for 20 countries for different numbers of procurements. The results reveal the individual behavior of each country. We provide an inventory policy for the pandemic period for the countries. This paper presents a deterministic model for vaccines with a demand rate variable over time for the countries. It is aimed to provide an analytical model to deal with the minimization of holding cost and develop inventory policies regarding this aim to be used for a variety of perishable products such as vaccines. The saturation process is introduced, and an approximation of the vaccination curve of the countries has been discussed. According to this aspect, a deterministic model for inventory policy has been developed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=covid-19" title="covid-19">covid-19</a>, <a href="https://publications.waset.org/abstracts/search?q=vaccination" title=" vaccination"> vaccination</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=bounded%20total%20demand" title=" bounded total demand"> bounded total demand</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20holding%20cost" title=" inventory holding cost"> inventory holding cost</a>, <a href="https://publications.waset.org/abstracts/search?q=cauchy%20distribution" title=" cauchy distribution"> cauchy distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=sigmoid%20function" title=" sigmoid function"> sigmoid function</a> </p> <a href="https://publications.waset.org/abstracts/162848/inventory-policy-above-country-level-for-cooperating-countries-for-vaccines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162848.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">2463</span> Spare Part Inventory Optimization Policy: A Study Literature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zukhrof%20Romadhon">Zukhrof Romadhon</a>, <a href="https://publications.waset.org/abstracts/search?q=Nani%20Kurniati"> Nani Kurniati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Availability of Spare parts is critical to support maintenance tasks and the production system. Managing spare part inventory deals with some parameters and objective functions, as well as the tradeoff between inventory costs and spare parts availability. Several mathematical models and methods have been developed to optimize the spare part policy. Many researchers who proposed optimization models need to be considered to identify other potential models. This work presents a review of several pertinent literature on spare part inventory optimization and analyzes the gaps for future research. Initial investigation on scholars and many journal database systems under specific keywords related to spare parts found about 17K papers. Filtering was conducted based on five main aspects, i.e., replenishment policy, objective function, echelon network, lead time, model solving, and additional aspects of part classification. Future topics could be identified based on the number of papers that haven’t addressed specific aspects, including joint optimization of spare part inventory and maintenance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spare%20part" title="spare part">spare part</a>, <a href="https://publications.waset.org/abstracts/search?q=spare%20part%20inventory" title=" spare part inventory"> spare part inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory%20model" title=" inventory model"> inventory model</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance" title=" maintenance"> maintenance</a> </p> <a href="https://publications.waset.org/abstracts/181509/spare-part-inventory-optimization-policy-a-study-literature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181509.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">62</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">2462</span> Multi-Criteria Inventory Classification Process Based on Logical Analysis of Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Diana%20L%C3%B3pez-Soto">Diana López-Soto</a>, <a href="https://publications.waset.org/abstracts/search?q=Soumaya%20Yacout"> Soumaya Yacout</a>, <a href="https://publications.waset.org/abstracts/search?q=Francisco%20%C3%81ngel-Bello"> Francisco Ángel-Bello</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although inventories are considered as stocks of money sitting on shelve, they are needed in order to secure a constant and continuous production. Therefore, companies need to have control over the amount of inventory in order to find the balance between excessive and shortage of inventory. The classification of items according to certain criteria such as the price, the usage rate and the lead time before arrival allows any company to concentrate its investment in inventory according to certain ranking or priority of items. This makes the decision making process for inventory management easier and more justifiable. The purpose of this paper is to present a new approach for the classification of new items based on the already existing criteria. This approach is called the Logical Analysis of Data (LAD). It is used in this paper to assist the process of ABC items classification based on multiple criteria. LAD is a data mining technique based on Boolean theory that is used for pattern recognition. This technique has been tested in medicine, industry, credit risk analysis, and engineering with remarkable results. An application on ABC inventory classification is presented for the first time, and the results are compared with those obtained when using the well-known AHP technique and the ANN technique. The results show that LAD presented very good classification accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ABC%20multi-criteria%20inventory%20classification" title="ABC multi-criteria inventory classification">ABC multi-criteria inventory classification</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=multi-class%20LAD%20model" title=" multi-class LAD model"> multi-class LAD model</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20classification" title=" multi-criteria classification"> multi-criteria classification</a> </p> <a href="https://publications.waset.org/abstracts/29498/multi-criteria-inventory-classification-process-based-on-logical-analysis-of-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29498.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">881</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">2461</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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2460</span> A Robust Optimization for Multi-Period Lost-Sales Inventory Control Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shunichi%20Ohmori">Shunichi Ohmori</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirawadee%20Arunyanart"> Sirawadee Arunyanart</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazuho%20Yoshimoto"> Kazuho Yoshimoto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We consider a periodic review inventory control problem of minimizing production cost, inventory cost, and lost-sales under demand uncertainty, in which product demands are not specified exactly and it is only known to belong to a given uncertainty set, yet the constraints must hold for possible values of the data from the uncertainty set. We propose a robust optimization formulation for obtaining lowest cost possible and guaranteeing the feasibility with respect to range of order quantity and inventory level under demand uncertainty. Our formulation is based on the adaptive robust counterpart, which suppose order quantity is affine function of past demands. We derive certainty equivalent problem via second-order cone programming, which gives 'not too pessimistic' worst-case. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=robust%20optimization" title="robust optimization">robust optimization</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=supply%20chain%20managment" title=" supply chain managment"> supply chain managment</a>, <a href="https://publications.waset.org/abstracts/search?q=second-order%20programming" title=" second-order programming"> second-order programming</a> </p> <a href="https://publications.waset.org/abstracts/42923/a-robust-optimization-for-multi-period-lost-sales-inventory-control-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42923.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">409</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">2459</span> Inventory Control for Purchased Part under Long Lead Time and Uncertain Demand: MRP vs Demand-Driven MRP Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Shofa">M. J. Shofa</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Hidayatno"> A. Hidayatno</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20M.%20Armand"> O. M. Armand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> MRP as a production control system is appropriate for the deterministic environment. Unfortunately, most production systems such as customer demands are stochastic. Demand-Driven MRP (DDMRP) is a new approach for inventory control system, and it deals with demand uncertainty. The objective of this paper is to compare the MRP and DDMRP work for a long lead time and uncertain demand in terms of on-hand inventory levels. The evaluation is conducted through a discrete event simulation using purchased part data from an automotive company. The result is MRP gives 50,759 pcs / day while DDMRP gives 34,835 pcs / day (reduce 32%), it means DDMRP is more effective inventory control than MRP in terms of on-hand inventory levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Demand-Driven%20MRP" title="Demand-Driven MRP">Demand-Driven MRP</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20lead%20time" title=" long lead time"> long lead time</a>, <a href="https://publications.waset.org/abstracts/search?q=MRP" title=" MRP"> MRP</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertain%20demand" title=" uncertain demand"> uncertain demand</a> </p> <a href="https://publications.waset.org/abstracts/71415/inventory-control-for-purchased-part-under-long-lead-time-and-uncertain-demand-mrp-vs-demand-driven-mrp-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71415.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">301</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">2458</span> Strategy of Inventory Analysis with Economic Order Quantity and Quick Response: Case on Filter Inventory for Heavy Equipment in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lim%20Sanny">Lim Sanny</a>, <a href="https://publications.waset.org/abstracts/search?q=Felix%20Christian"> Felix Christian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of heavy equipment in Indonesia is always increasing. Cost reduction in procurement of spare parts is the aim of the company. The spare parts in this research are focused in the kind of filters. On the early step, the choosing of priority filter will be studied further by using the ABC analysis. To find out future demand of the filter, this research is using demand forecast by utilizing the QM software for windows. And to find out the best method of inventory control for each kind of filter is by comparing the total cost of Economic Order Quantity and Quick response inventory method. For the three kind of filters which are Cartridge, Engine oil – pn : 600-211-123, Element, Transmission – pn : 424-16-11140, and Element, Hydraulic – pn : 07063-01054, the best forecasting method is Linear regression. The best method for inventory control of Cartridge, Engine oil – pn : 600-211-123 and Element, Transmission – pn : 424-16-11140, is Quick Response Inventory, while the best method for Element, Hydraulic – pn : 07063-01054 is Economic Order Quantity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=strategy" title="strategy">strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory" title=" inventory"> inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=ABC%20analysis" title=" ABC analysis"> ABC analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20order%20quantity" title=" economic order quantity"> economic order quantity</a>, <a href="https://publications.waset.org/abstracts/search?q=quick%20response%20inventory" title=" quick response inventory"> quick response inventory</a> </p> <a href="https://publications.waset.org/abstracts/19597/strategy-of-inventory-analysis-with-economic-order-quantity-and-quick-response-case-on-filter-inventory-for-heavy-equipment-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19597.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">364</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">2457</span> Effect of Inventory Management on Financial Performance: Evidence from Nigerian Conglomerate Companies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adamu%20Danlami%20Ahmed">Adamu Danlami Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inventory management is the determinant of effective and efficient work for any manager. This study looked at the relationship between inventory management and financial performance. The population of the study comprises all conglomerate quoted companies in the Nigerian Stock Exchange market as at 31<sup>st</sup> December 2010. The scope of the study covered the period from 2010 to 2014. Descriptive, Pearson correlation and multiple regressions are used to analyze the data. It was found that inventory management is significantly related to the profitability of the company. This entails that an efficient management of the inventory cycle will enhance the profitability of the company. Also, lack of proper management of it will hinder the financial performance of organizations. Based on the results, it was recommended that a conglomerate company should try to see that inventories are kept to a minimum, as well as make sure the proper checks are maintained to make sure only needed inventories are in the store. As well as to keep track of the movement of goods, in order to avoid unnecessary delay of finished and work in progress (WIP) goods in the store and warehouse. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finished%20goods" title="finished goods">finished goods</a>, <a href="https://publications.waset.org/abstracts/search?q=work%20in%20progress" title=" work in progress"> work in progress</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20performance" title=" financial performance"> financial performance</a>, <a href="https://publications.waset.org/abstracts/search?q=inventory" title=" inventory"> inventory</a> </p> <a href="https://publications.waset.org/abstracts/54433/effect-of-inventory-management-on-financial-performance-evidence-from-nigerian-conglomerate-companies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54433.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">233</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">2456</span> Optimization of Economic Order Quantity of Multi-Item Inventory Control Problem through Nonlinear Programming Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prabha%20Rohatgi">Prabha Rohatgi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To obtain an efficient control over a huge amount of inventory of drugs in pharmacy department of any hospital, generally, the medicines are categorized on the basis of their cost ‘ABC’ (Always Better Control), first and then categorize on the basis of their criticality ‘VED’ (Vital, Essential, desirable) for prioritization. About one-third of the annual expenditure of a hospital is spent on medicines. To minimize the inventory investment, the hospital management may like to keep the medicines inventory low, as medicines are perishable items. The main aim of each and every hospital is to provide better services to the patients under certain limited resources. To achieve the satisfactory level of health care services to outdoor patients, a hospital has to keep eye on the wastage of medicines because expiry date of medicines causes a great loss of money though it was limited and allocated for a particular period of time. The objectives of this study are to identify the categories of medicines requiring incentive managerial control. In this paper, to minimize the total inventory cost and the cost associated with the wastage of money due to expiry of medicines, an inventory control model is used as an estimation tool and then nonlinear programming technique is used under limited budget and fixed number of orders to be placed in a limited time period. Numerical computations have been given and shown that by using scientific methods in hospital services, we can give more effective way of inventory management under limited resources and can provide better health care services. The secondary data has been collected from a hospital to give empirical evidence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ABC-VED%20inventory%20classification" title="ABC-VED inventory classification">ABC-VED inventory classification</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20item%20inventory%20problem" title=" multi item inventory problem"> multi item inventory problem</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20programming%20technique" title=" nonlinear programming technique"> nonlinear programming technique</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20of%20EOQ" title=" optimization of EOQ"> optimization of EOQ</a> </p> <a href="https://publications.waset.org/abstracts/68645/optimization-of-economic-order-quantity-of-multi-item-inventory-control-problem-through-nonlinear-programming-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68645.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">255</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">2455</span> The Relationship between Inventory Management and Profitability: A Comparative Research on Turkish Firms Operated in Weaving Industry, Eatables Industry, Wholesale and Retail Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gamze%20Sekeroglu">Gamze Sekeroglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mikail%20Altan"> Mikail Altan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Working capital is identified as firm’s all current assets. Inventories which are one of the working capital elements are very important among current assets for firms. Because, profitability is an indicator for firms’ financial success is provided with minimum cost and optimum inventory quantity. So in this study, it is investigated as comparatively that the effect of inventory management on the profitability of Turkish firms which operated in weaving industry, eatables industry, wholesale and retail industry in between 2003 – 2012 years. Research data consist of profitability ratios and inventory turnovers ratio calculated by using balance sheets and income statements of firms which operated in Borsa Istanbul (BIST). In this research, the relationship between inventories and profitability is investigated by using SPSS-20 software with regression and correlation analysis. The results achieved from three industry departments which exist in study interpreted as comparatively. Accordingly, it is determined that there is a positive relationship between inventory management and profitability in eatables industry. However, it was founded that there is no relationship between inventory management and profitability in weaving industry and wholesale and retail industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=profitability" title="profitability">profitability</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20analysis" title=" regression analysis"> regression analysis</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=working%20capital" title=" working capital"> working capital</a> </p> <a href="https://publications.waset.org/abstracts/6435/the-relationship-between-inventory-management-and-profitability-a-comparative-research-on-turkish-firms-operated-in-weaving-industry-eatables-industry-wholesale-and-retail-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6435.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">336</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">2454</span> Modelling Patient Condition-Based Demand for Managing Hospital Inventory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Esha%20Saha">Esha Saha</a>, <a href="https://publications.waset.org/abstracts/search?q=Pradip%20Kumar%20Ray"> Pradip Kumar Ray</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A hospital inventory comprises of a large number and great variety of items for the proper treatment and care of patients, such as pharmaceuticals, medical equipment, surgical items, etc. Improper management of these items, i.e. stockouts, may lead to delay in treatment or other fatal consequences, even death of the patient. So, generally the hospitals tend to overstock items to avoid the risk of stockout which leads to unnecessary investment of money, difficulty in storing, more expiration and wastage, etc. Thus, in such challenging environment, it is necessary for hospitals to follow an inventory policy considering the stochasticity of demand in a hospital. Statistical analysis captures the correlation of patient condition based on bed occupancy with the patient demand which changes stochastically. Due to the dependency on bed occupancy, the markov model is developed that helps to map the changes in demand of hospital inventory based on the changes in the patient condition represented by the movements of bed occupancy states (acute care state, rehabilitative state and long-care state) during the length-of-stay of patient in a hospital. An inventory policy is developed for a hospital based on the fulfillment of patient demand with the objective of minimizing the frequency and quantity of placement of orders of inventoried items. The analytical structure of the model based on probability calculation is provided to show the optimal inventory-related decisions. A case-study is illustrated in this paper for the development of hospital inventory model based on patient demand for multiple inpatient pharmaceutical items. A sensitivity analysis is conducted to investigate the impact of inventory-related parameters on the developed optimal inventory policy. Therefore, the developed model and solution approach may help the hospital managers and pharmacists in managing the hospital inventory in case of stochastic demand of inpatient pharmaceutical items. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bed%20occupancy" title="bed occupancy">bed occupancy</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20inventory" title=" hospital inventory"> hospital inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=markov%20model" title=" markov model"> markov model</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20condition" title=" patient condition"> patient condition</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmaceutical%20items" title=" pharmaceutical items"> pharmaceutical items</a> </p> <a href="https://publications.waset.org/abstracts/50442/modelling-patient-condition-based-demand-for-managing-hospital-inventory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50442.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">323</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">2453</span> Exploring the Capabilities of Sentinel-1A and Sentinel-2A Data for Landslide Mapping</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ismayanti%20Magfirah">Ismayanti Magfirah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sartohadi%20Junun"> Sartohadi Junun</a>, <a href="https://publications.waset.org/abstracts/search?q=Samodra%20Guruh"> Samodra Guruh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Landslides are one of the most frequent and devastating natural disasters in Indonesia. Many studies have been conducted regarding this phenomenon. However, there is a lack of attention in the landslide inventory mapping. The natural condition (dense forest area) and the limited human and economic resources are some of the major problems in building landslide inventory in Indonesia. Considering the importance of landslide inventory data in susceptibility, hazard, and risk analysis, it is essential to generate landslide inventory based on available resources. In order to achieve this, the first thing we have to do is identify the landslides' location. The presence of Sentinel-1A and Sentinel-2A data gives new insights into land monitoring investigation. The free access, high spatial resolution, and short revisit time, make the data become one of the most trending open sources data used in landslide mapping. Sentinel-1A and Sentinel-2A data have been used broadly for landslide detection and landuse/landcover mapping. This study aims to generate landslide map by integrating Sentinel-1A and Sentinel-2A data use change detection method. The result will be validated by field investigation to make preliminary landslide inventory in the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=change%20detection%20method" title="change detection method">change detection method</a>, <a href="https://publications.waset.org/abstracts/search?q=landslide%20inventory%20mapping" title=" landslide inventory mapping"> landslide inventory mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=Sentinel-1A" title=" Sentinel-1A"> Sentinel-1A</a>, <a href="https://publications.waset.org/abstracts/search?q=Sentinel-2A" title=" Sentinel-2A"> Sentinel-2A</a> </p> <a href="https://publications.waset.org/abstracts/94105/exploring-the-capabilities-of-sentinel-1a-and-sentinel-2a-data-for-landslide-mapping" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94105.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">171</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">2452</span> Predictive Modelling Approach to Identify Spare Parts Inventory Obsolescence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Madhu%20Babu%20Cherukuri">Madhu Babu Cherukuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Tamoghna%20Ghosh"> Tamoghna Ghosh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Factory supply chain management spends billions of dollars every year to procure and manage equipment spare parts. Due to technology -and processes changes some of these spares become obsolete/dead inventory. Factories have huge dead inventory worth millions of dollars accumulating over time. This is due to lack of a scientific methodology to identify them and send the inventory back to the suppliers on a timely basis. The standard approach followed across industries to deal with this is: if a part is not used for a set pre-defined period of time it is declared dead. This leads to accumulation of dead parts over time and these parts cannot be sold back to the suppliers as it is too late as per contract agreement. Our main idea is the time period for identifying a part as dead cannot be a fixed pre-defined duration across all parts. Rather, it should depend on various properties of the part like historical consumption pattern, type of part, how many machines it is being used in, whether it- is a preventive maintenance part etc. We have designed a predictive algorithm which predicts part obsolescence well in advance with reasonable accuracy and which can help save millions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obsolete%20inventory" title="obsolete inventory">obsolete inventory</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=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%20analytics" title=" supply chain analytics"> supply chain analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=dead%20inventory" title=" dead inventory"> dead inventory</a> </p> <a href="https://publications.waset.org/abstracts/56373/predictive-modelling-approach-to-identify-spare-parts-inventory-obsolescence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56373.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">319</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=hybrid%20inventory&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hybrid%20inventory&page=3">3</a></li> <li class="page-item"><a class="page-link" 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