Ordinal optimization based metaheuristic algorithm for optimal inventory policy of assemble-to-order systems
نویسندگان
چکیده
منابع مشابه
Order-Based Cost Optimization in Assemble-to-Order Systems
We study a multi-item stochastic inventory system in which customers may order different but possibly overlapping subsets of items, such as a multiproduct assemble-to-order system. The goal is to determine the right base-stock level for each item and to identify the key driving factors. We formulate a cost-minimization model with order-based backorder costs and compare it with the standard sing...
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We consider the optimal control of an assemble-to-order (ATO) system with m components, a single end-product, and n customer classes. Demand from each class occurs continuously over time according to a Poisson process. Components are produced in separate production facilities, each with a finite production rate and exponentially distributed production times. Components can be stocked ahead of d...
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It is important to share demand information among the members in supply chains. In recent years, production and inventory systems with advance demand information (ADI) have been discussed, where advance demand information means the information of demand which the decision maker obtains before the corresponding actual demand arrives. Appropriate production and inventory control using demand info...
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Optimizing multi-product assemble-to-order (ATO) inventory systems is a long-standing difficult problem. We consider ATO systems with identical component lead times and a general ‘bill of materials’. We use a related two-stage stochastic program (SP) to set a lower bound on the average inventory cost and develop inventory control policies for the dynamic ATO system using this SP. We apply the f...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2017
ISSN: 0307-904X
DOI: 10.1016/j.apm.2016.10.002