Approximation algorithms for stochastic inventory control models

Approximation algorithms for stochastic inventory control models

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Article ID: iaor20052953
Country: United States
Volume: 7
Issue: 1
Start Page Number: 82
End Page Number: 85
Publication Date: Dec 2005
Journal: Manufacturing & Service Operations Management
Authors:
Keywords: organization
Abstract:

This is an extended abstract of a paper that was a finalist in the Manufacturing and Service Operations Management Society's 2004 Student Paper Competition. The longstanding problem of finding computationally efficient and provably good inventory control policies in supply chains with correlated and nonstationary (time-dependent) stochastic demands is addressed.

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