关键词: 混合流水车间, 机床加工特性, 目标匹配, 多目标优化, 绿色生产, 调度

Abstract: To solve the problem of hybrid flow-shop sustainable scheduling,a multi-objective optimization model and modified genetic algorithm were proposed based on the performance of machine tools.The production time,energy consumption and cost in hybrid flow-shop were elaborated in the proposed mathematical model,and the performance of the machine tools in hybrid-shop were described with fuzzy membership method.In the modified GA algorithm,the adaptive crossover,mutation and elitist strategy were established according to the relationship between the membership degree of machine tools and weights of optimization objectives.Thus the selection pressure to the proper direction could be obtained so as to accelerate the convergence speed in the iteration of GA.A case study was used to verify the established model and algorithm by comparing the results obtained by different GA methods.Based on the optimization results,four kinds of typical workshop production scheduling modes including high efficiency,energy conservation,economy and comprehensive production were put forward to provide guidance for the sustainable production of hybrid flow-shop scheduling.

Key words: hybrid flow-shop, performance of machine tools, objective matching, multi-objective optimization, sustainable production, scheduling