A Robust Optimization Approach to Supply Chain Management
| Autor: | Bertsimas, Dimitris J., Thiele, Aurélie |
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| Rok vydání: | 2004 |
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| Druh dokumentu: | Článek |
| Popis: | 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. Singapore-MIT Alliance (SMA) |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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