制造任务分解与制造单元级资源配置协同优化

针对网络化制造环境下制造任务分解与资源配置脱节的问题,提出了制造任务逐层分解与制造单元级资源配置协同优化的方法,建立了协同优化流程.在对制造任务特点进行分析的基础上,建立了制造任务模型和制造单元资源模型,建立了多目标优化模型和目标的综合评价体系,利用在遗传算法求解搜索过程中所获得的动态信息进行综合评价,并随着求解搜索过程的深入对变异幅度进行调整,以达到全局优化和加快收敛速度的目的.最后以实例验证了该方法的可行性与有效性.

Collaborative optimization of manufacture task decomposition and resource deployment of manufacturing unit

A collaborative optimization method of manufacturing unit deployment was proposed, and the optimization flow was constructed with hierarchical structure in solving the disjunction problems between manufacture task decomposition and resource deployment in networked manufacturing environment. Then the manufacture task model and manufacture unit resource model were constructed on the base of task characteristic analysis. A multi-objective optimization model and its comprehensive evaluation system were constructed. Dynamic information obtained from the searching process of genetic algorithm was used in the comprehensive evaluation. And the variation range was adjusted in the searching process in order to obtain global optimization and speed up convergence. Feasibility and effectiveness of the method was verified by an application case.