Abstract: In order to solve resource optimizing deployment problem for cooperative manufacturing of complex parts, the cooperative manufacturing task is decomposed by taking process flow as core.The concepts such as LMU (logical manufacturing unit) and LMP (logical manufacturing process), etc.are used to describe cooperative manufact uring task of complex parts.The ultimate goal is to establish a process routing that can support cooperative manufacturing based on process flows of complicated parts.The objective function and constraints of the problem are established.The problem of resource optimizing deployment is converted to multi-objective optimization model, with processing time, delivery expense and processing quality as objectives, and sequence, release time, production time, time of delivery, cost and quality as constraints, and is solved by genetic algorithm.At last, the model is used for the coordination manufacturing of an generator engine.This example proves the feasibility and validity of the method.

Key words: collaborative manufacturing, resource optimizing deployment, multi-objective optimization, genetic algorithm (GA)