مقاله

a fuzzy multi-objective linear programming approach for solving a new multi-objective job shop scheduling with sequence-dependent setup times

چکیده

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.

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