Abstract
Cellular manufacturing (CM) has attracted much attention because it can lead to reduced throughput and increased productivity, while retaining a high-level of flexibility. Cell formation (CF) is a critical decision in CM. Mathematical programming (MP) has been widely used to model the problem, but situations in the real world usually cannot be defined precisely, and data regarding them are uncertain. Fuzzy MP is a promising approach to dealing with such a problem. This paper proposes a fuzzy multiobjective linear programming (FMLP) approach to model the CF with two conflicting objectives - minimizing the costs of dealing with exceptional elements and maximizing group efficacy.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - Annual Meeting of the Decision Sciences Institute |
| Editors | Anon |
| Publisher | Decis Sci Inst |
| Pages | 1270-1272 |
| Number of pages | 3 |
| Volume | 3 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) - Orlando, FL, USA Duration: Nov 24 1996 → Nov 26 1996 |
Other
| Other | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) |
|---|---|
| City | Orlando, FL, USA |
| Period | 11/24/96 → 11/26/96 |
All Science Journal Classification (ASJC) codes
- Management Information Systems
- Hardware and Architecture