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Fuqua School of Business, Duke University, Durham, North Carolina 27708
We propose a heuristic for finding base order quantities for stochastic inventory models. The heuristic includes two steps. The first clusters the stages according to cost parameters. The second solves a single-stage problem for each cluster with the original problem data. In a numerical study, we show that the heuristic is near optimal.
khshang{at}duke.edu
Subject classifications: multiecholon; (R, nQ) policies; simple solution.
History: Received August 2004;
revision received March 2007;
accepted March 2007.
This article has been cited by other articles:
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K. H. Shang, J.-S. Song, and P. H. Zipkin Coordination Mechanisms in Decentralized Serial Inventory Systems with Batch Ordering Management Science, April 1, 2009; 55(4): 685 - 695. [Abstract] [PDF] |
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