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Theoretical Paper

Can-order policy for the periodic-review joint replenishment problem

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Pages 283-290 | Received 01 Sep 2001, Accepted 01 Sep 2002, Published online: 21 Dec 2017
 

Abstract

In this paper we study the stochastic joint replenishment problem. We compare the class of periodic replenishment policies and the class of can-order policies for this problem. We present a method, based on Markov decision theory, to calculate near-optimal can-order policies for a periodic-review inventory system. Our numerical study shows that the can-order policy behaves as well as, if not better than, the periodic replenishment policies. In particular, for examples where the demand is irregular, we find cost differences up to 15% in favour of the can-order policy.

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