A Robust Optimization for Multi-Period Lost Sales Inventory Control Problem
نویسندگان
چکیده
منابع مشابه
Robust multi-echelon multi-period inventory control
We consider the problem of minimizing the overall cost of a supply chain, over a possibility long horizon, under demand uncertainly which is known only crudely. Under such circumstances, the method of choice is Robust Optimization, in particular the Affinely Adjustable Robust Counterpart (AARC) method which leads to tractable deterministic optimization problems. The latter is due to a recent re...
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Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, 77 Massachusetts Avenue, E40-147, Cambridge, MA 02139, USA Operations Research Center, Massachusetts Institute of Technology, 77 Massachusetts Avenue, E40-130, Cambridge, MA 02139, USA Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts...
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We study a finite-horizon lost-sales inventory model. The demand distribution is unknown and is dynamically updated based on the previous sales data in a Bayesian fashion. We derive a samplepath representation of the first order optimality condition, which characterizes the key tradeoff of the problem. The expression allows us to see why the computation of the optimal policy is difficult and wh...
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in this article, a finite horizon, multi product and multi period economic order quantity like seasonal items is considered where demand rate is deterministic and known but variable in each period. the order quantities of items come in batch sizes and the end of the period order quantity and, consequently, demand of customers are zero. in addition, storage space is constrained and the problem ...
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ژورنال
عنوان ژورنال: Operations and Supply Chain Management: An International Journal
سال: 2020
ISSN: 2579-9363
DOI: 10.31387/oscm0430277