时序约束条件下协同制造链多目标优化  

Multi-objective Optimization of Collaborative Manufacturing Chain with Time-Sequence Constraint

作　　者：程方启[1] 叶飞帆[2] 杨建国[3] 

机构地区：[1]浙江工商职业技术学院机电工程学院,浙江宁波315012 [2]宁波大学工学院,浙江宁波315211 [3]上海交通大学机械与动力工程学院,上海200240

出　　处：《上海交通大学学报》2009年第1期88-92,共5页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目(70871062)

摘　　要：为了实现企业间制造资源的共享与优化配置,针对网络制造环境中复杂产品的制造任务,提出了协同制造链的概念.建立了整体运行成本与生产负荷最小化的多目标函数模型,分析了其时序约束条件;应用非支配排序遗传算法对多目标优化模型进行求解,获得了Pareto最优解集;应用TOPSIS方法在Pareto最优解集中选择最优解.仿真计算结果表明,提出的模型和算法能够获得满意的解.In order to realize the sharing and the deployment optimization of manufacturing resources, the concept of collaborative manufacturing chain （CMC） was proposed for the manufacturing of complex products in networked manufacturing environment. A multi-objective optimization model was developed to minimize the comprehensive cost and the whole production load, and the constraint of time-sequence was analyzed. Non-dominated sorting genetic algorithm （NSGA-Ⅱ） was applied to solve the optimization functions. The optimal solution set of Pareto was obtained. TOPSIS approach was then used to select the optimal solution from the optimal solution set of Pareto. The simulation results indicate that the proposed model and algorithm are able to obtain satisfactory solutions.

关 键 词：协同制造链 时序约束 多目标优化 非支配排序遗传算法 

分 类 号：TH166[机械工程—机械制造及自动化]