In order to realize the online allocation of collaborative processing resource of smart workshop in the context of cloud manufacturing, a multi-objective optimization model of workshop collaborative resources (MOM-WCR) was proposed. Considering the optimization objectives of processing time, processing cost, product qualification rate, and resource utilization, MOM-WCR was constructed. Based on the time sequence of workshop processing tasks, the workshop collaborative manufacturing resource was integrated in MOM-WCR. Fuzzy analytic hierarchy process (FAHP) was adopted to simplified the multi-objective problem into the single-objective problem. Then, the improved firefly algorithm which integrated the particle swarm algorithm (IFA-PSA) was used to solve MOM-WCR. Finally, a group of connecting rod processing experiments were used to verify the model proposed in this paper. The results show that the model is feasible in the application of workshop-level resource allocation in the context of cloud manufacturing, and the improved firefly algorithm shows good performance in solving the multi-objective resource allocation problem.

中文翻译：

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云加工订单智能车间资源自主分配

为实现云制造背景下智能车间协同加工资源的在线分配，提出了车间协同资源多目标优化模型（MOM-WCR）。综合考虑加工时间、加工成本、产​​品合格率、资源利用率等优化目标，构建MOM-WCR。根据车间加工任务的时间顺序，将车间协同制造资源集成到MOM-WCR中。采用模糊层次分析法（FAHP）将多目标问题简化为单目标问题。然后，采用集成粒子群算法的改进萤火虫算法（IFA-PSA）求解MOM-WCR。最后，通过一组连杆加工实验验证了本文提出的模型。结果表明，该模型在云制造背景下的车间级资源分配应用中是可行的，改进的萤火虫算法在解决多目标资源分配问题上表现出良好的性能。