关键词: 制造资源状态, 非线性工艺规划, 资源优化配置, 多目标优化, 遗传算法

Abstract: To improve the accessibility of process plans in the workshop,based on analyzing the typical state information of workshop manufacturing resources,an optimization model of NLPP resources allocation aiming at the shortest processing time,the minimum processing cost and the best manufacturing resources state was established with reasonable hypotheses and definitions,and quantitative evaluating manufacturing resources state.The optimal process routes and resources allocation were both achieved by applying genetic algorithm with layered coding genes in chromosomes to the optimization model.An engineering application case was presented to verify the effectiveness of proposed model and the availability of solving method.

Key words: manufacturing resources state, nonlinear process planning, resources optimal allocation, multi-objective optimization, genetic algorithms