Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8508
Title: Technical note-managing nonperishable inventories with learning about demand arrival rate through stockout times
Authors: Bensoussan, A
Guo, P 
Issue Date: 2015
Publisher: Institute for Operations Research and the Management Sciences
Source: Operations research, 2015, v. 63, no. 3, p. 602-609 How to cite?
Journal: Operations research 
Abstract: We study a periodic review inventory model with a nonperishable product over an infinite planning horizon. The demand for the nonperishable product arrives according to a Poisson process. Lost sales are unobservable but the stockout times are observable. We formulate the problem as a dynamic programming model with learning on arrival rate according to stockout times and further simplify it by using unnormalized probabilities. We then compare the system performance with those under other two information scenarios where lost sales are observable or both lost sales and stockout times are unobservable. We show that the optimal inventory order-up-to level with observable stockout times is larger than the one with observable lost sales. We also show that more information improves the system performance.
URI: http://hdl.handle.net/10397/8508
ISSN: 0030-364x
EISSN: 1526-5463
DOI: 10.1287/opre.2015.1376
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