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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Order Fulfillment and Replenishment Policies for Fully Substitutable Products
verfasst von : Beyazit Ocaktan, Ufuk Kula
Erschienen in: Operations Research Proceedings 2011
Verlag: Springer Berlin Heidelberg
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We consider a fully substitutable multi product inventory system in which customer demand may be satisfied by delivering any combination of products. A customer requesting a certain quantity,
D
may accept different combinations of products as long as its order of size
D
is fulfilled.We model the system as a Markov decision process and develop a approximate dynamic programming algorithm to determine order fulfillment and replenishment policies. In order to reduce the run time of the algorithm, we use two-layer neural network that iteratively fits a function to the state values and finds an approximately optimal order fulfillment and can order type replenishment policy.