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:: Volume 6, Issue 1 (3-2015) ::
IJOR 2015, 6(1): 1-14 Back to browse issues page
A fuzzy multi-objective linear programming approach for solving a new multi-objective job shop scheduling with sequence-dependent setup times
M.B. Fakhrzad Dr , Leila Emami Ms.
Industrial Engineering department of Yazd university , mfakhrzad@yazd.ac.ir
Abstract:   (5258 Views)

This paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. For solving this multi-objective model, we develop a fuzzy multi-objective linear programming (FMOLP) model. In this problem, a proposed FMOLP method is applied with respect to the overall acceptable degree of the decision maker (DM) satisfaction. Finally, a numerical example demonstrates the feasibility of applying the proposed model to job shop scheduling with set up times problem. The proposed model yields a compromised solution and the decision maker’s overall levels of satisfaction.

Keywords: Scheduling, Job shop, Sequence-dependent setup times, Multi-objective, Fuzzy multi-objective linear programming
Full-Text [PDF 600 kb]   (3425 Downloads)    
Type of Study: Original | Subject: Fuzzy Sets and Systems
Received: 2013/03/10 | Accepted: 2015/12/24 | Published: 2017/03/27
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Volume 6, Issue 1 (3-2015) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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