关键词: 资源优化配置, 物理制造单元, 逻辑制造单元, 逻辑加工路线, 可执行加工路线, 遗传算法, 相对隶属度

Abstract: To solve resources optimization deployment problem for complicated parts in networked manufacturing, an approach taking the process flow of part as kernel was proposed. In this approach, the design of Logical Manufacturing Process (LMP) and Logical Manufacturing Unit (LMU) was studied according to the process flow of part, and manufacturing tasks were decomposed and described based on LMP and LMU. To obtain the best Executive Manufacturing Process (EMP) for LMP, the multi-objective manufacturing resources optimization deployment problem was modeled considering the operation Cost, Time and machining Quality (CTQ). During solving the model by genetic algorithm, the eigenvalue matrix of CTQ was transformed into the relative membership degree matrix based on the influence degree coefficient in every generation, and the fitness value was calculated by taking the minimal sum of the square of hamming weighted distance of an individual to the ideal excellent individual and the square of hamming weighted distance of an individual to the ideal inferior individual as optimization rule. Finally, the validity and practicability of the approach were verified by an example of engine blade in networked manufacturing.

Key words: resources optimization deployment, physical manufacturing unit, logical manufacturing unit, logical manufacturing process, executive manufacturing process, genetic algorithm, relative membership degree