Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4976497 | Journal of the Franklin Institute | 2008 | 16 Pages |
Abstract
This study develops a fuzzy multi-objective linear programming (FMOLP) model for solving the multi-objective no-wait flow shop scheduling problem in a fuzzy environment. The proposed model attempts to simultaneously minimize the weighted mean completion time and the weighted mean earliness. A numerical example demonstrates the feasibility of applying the proposed model to no-wait flow shop scheduling problem. The proposed model yields a compromised solution and the decision maker's overall levels of satisfaction.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Babak Javadi, M. Saidi-Mehrabad, Alireza Haji, Iraj Mahdavi, F. Jolai, N. Mahdavi-Amiri,