Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system

Authors:
Haipeng Zhang;Mitsuo Gen
Affiliations:
Waseda University, Kitakyushu, JAPAN;Waseda University, Kitakyushu, JAPAN
Venue:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Year:
2006

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Abstract

In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The objective is to find the optimal resource selection for assignments, operations sequences, and allocation of variable transfer batches, in order to minimize the total makespan, considering the setup time, transportation time, and operations processing time. The plans and schedules are designed considering flexible flows, resources status, capacities of plants, precedence constraints, and workload balance in Flexible Manufacturing System (FMS). The experimental results of various Advanced Planning and Scheduling (APS) problems have offered to demonstrate the efficiency of moGA by comparing with the previous methods.