Search

This paper presents an integrated computer simulation, goal programming, and design of experiment (DOE) algorithm to solve the jobshop scheduling problem with multiple objectives. The proposed algorithm is applied to an actual textile dyeing, printing, and finishing workshop for minimization of tardiness and makespan. The simulation model enables managers to find schedule of jobs on machines given a defined combination of decision parameters which provide the smallest completion time of jobs. We then utilize DOE for determining the decision parameters to estimate the effect of both qualitative and qualitative factors through metamodeling. A goal programming model is used to find the optimum values of decision variables subject to a set of technical and managerial constraints. The proposed algorithm concentrates on two main managerial objectives simultaneously whereas previous studies are able to consider a single criterion. Finally, distinctive features of the proposed approach are compared with previous studies and models. [ABSTRACT FROM AUTHOR]