Application of decision analysis techniques to the Weber facility location problem
โ Scribed by Zvi Drezner; Jeffery Guyse
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 742 KB
- Volume
- 116
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
โฆ Synopsis
A location problem with future uncertainties about the data is considered. Several possible scenarios about the future values of the parameters are postulated. However, it is not clear which of these scenarios will actually happen. We ยฎnd the location that will best accommodate the possible scenarios. Four rules utilized in decision theory are examined: the expected value rule, the optimistic rule, the pessimistic rule, and the minimax regret rule. The solution for the squared Euclidean distance is explicitly found. Algorithms are suggested for general convex distance metrics. An example problem is solved in detail to illustrate the ยฎndings, and computational experiments with randomly generated problems are reported.
๐ SIMILAR VOLUMES
Models developed to analyze facility location decisions have typically optimized one or more objectives, subject to physical, structural, and policy constraints, in a static or deterministic setting. Because of the large capital outlays that are involved, however, facility location decisions are fre