Abstract: Aiming at the problem of task distribution caused by constraints on the manufacturing capacity of manufacturing resources in cloud manufacturing environment,a task distribution optimization model was established and the solving algorithm of the model was proposed.Based on the multi–supplier production combination of sub-task,the conception of quality similarity and its calculation methods were given to establish the evaluation index system.On the basis of this,the task distribution optimization model for multi-supplier collaborative production in cloud manufacturing was constructed.After analyzing the characteristics of the model,an improved Multi-objective Evolutionary Algorithm Based on Decomposition-Particle Swarm Optimization(MOEA/D-PSO) algorithm was proposed to obtain the optimal combination.An example was given to demonstrate effectiveness of the model and algorithm.

Key words: cloud manufacturing, multi-supplier, collaborative production, manufacturing resources, task distribution, production combination, quality similarity, MOEA/D-PSO algorithm

摘要： 针对云制造环境下制造资源生产能力约束导致的任务分配不合理问题,研究建立了一种任务分配优化模型并提出了求解算法。依据子任务订单量对多个供应商进行生产组合,继而提出质量相似度等概念及其相应的计算方法,建立评价指标体系,并在此基础上构建了面向云制造的多供应商协同生产任务分配优化模型;通过对模型特征的分析与把握,提出一种改进的多目标粒子群进化算法,求解模型得到最优组合以及组合量。最后,通过实例证明了该模型与算法的可行性和有效性。

关键词: 云制造, 多供应商, 协同生产, 制造资源, 任务分配, 生产组合, 质量相似度, MOEA/D-PSO算法