A Robust Optimization Approach to Supply Chain Management
Name
HPCES016.pdf
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404.1 KB
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Adobe PDF
Checksum (MD5)
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Author(s)
Bertsimas, Dimitris J.
Thiele, Aurélie
Date Issued
January 2004
Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Abstract
We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time. The attractive features of the proposed approach are: (a) It incorporates a wide variety of phenomena, including demands that are not identically distributed over time and capacity on the echelons and links; (b) it uses very little information on the demand distributions; (c) it leads to qualititatively similar optimal policies (basestock policies) as in dynamic programming; (d) it is numerically tractable for large scale supply chain problems even in networks, where dynamic programming methods face serious dimensionality problems; (e) in preliminary computation experiments, it often outperforms dynamic programming based solutions for a wide range of parameters.
Subjects
robust optimization approach
supply chain management
stochastic demand
discrete time
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