| dc.creator |
Bertsimas, Dimitris J. |
|
| dc.creator |
Thiele, Aurélie |
|
| dc.date |
2003-12-14T23:09:33Z |
|
| dc.date |
2003-12-14T23:09:33Z |
|
| dc.date |
2004-01 |
|
| dc.date.accessioned |
2013-10-09T02:33:00Z |
|
| dc.date.available |
2013-10-09T02:33:00Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/3893 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
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. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
413796 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
High Performance Computation for Engineered Systems (HPCES); |
|
| dc.subject |
robust optimization approach |
|
| dc.subject |
supply chain management |
|
| dc.subject |
stochastic demand |
|
| dc.subject |
discrete time |
|
| dc.title |
A Robust Optimization Approach to Supply Chain Management |
|
| dc.type |
Article |
|