Abstract
A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers.Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain wheras in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005 |
| Pages | 483-488 |
| Number of pages | 6 |
| Publication status | Published - 2005 |
| Event | 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005 - Istanbul, Turkey Duration: 19 Jun 2005 → 22 Jun 2005 |
Publication series
| Name | Proceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005 |
|---|
Conference
| Conference | 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 19/06/05 → 22/06/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Fuzzy set theory
- Linear programming
- Logistic optimization
- Supply chain
Fingerprint
Dive into the research topics of 'A fuzzy optimization model for supply chain problems'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver