A hybrid genetic-goal programming approach for improving group performance in cell formation problems
by Barnali Chaudhuri; R.K. Jana; Dinesh K. Sharma; P.K. Dan
International Journal of Advanced Operations Management (IJAOM), Vol. 12, No. 4, 2020

Abstract: This paper proposes a hybrid genetic-goal programming approach to improve group performance in cell formation problems in manufacturing systems. The problem is formulated mathematically as a multi-objective programming problem. A proposed genetic algorithm (GA) is used to solve the problem. The chromosomes of the GA represent a combination of machines and parts. The proposed approach improves group performance by considering group efficacy as the performance measure. A software package corresponding to the proposed approach is developed in C# has a user-friendly GUI. Thirty problem instances of varying sizes prove the superiority of the approach in terms of group efficacy by avoiding duplicity in the allocation of parts into machines.

Online publication date: Mon, 01-Feb-2021

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