Evolutionary algorithm for flexible process sequencing withmultiple objectives

摘要

In this paper, we propose a new flexible process sequencingproblem considering the operation flexibility and AGV guidepath forcomputer-aided process planning system. The process sequence for eachpart should be selected based on the multiple criterions: (1) minimizingthe sum of machine processing time and the material handling time of allthe parts considering realistic shop factors such as production volume,machining time, machine capacity, material handling time and capacity oftransfer device; (2) balancing workload between machines. Anevolutionary algorithm approach based on genetic algorithm is developedto solve this problem. The efficiency of the proposed approach isverified with a numerical example