基于混杂随机时延Petri网的服装定制CPPS建模和分析

Modelling and Analysis of Hybrid Stochastic Timed Petri Net Based Custom-tailor Cyber-physical Production System

  • 摘要: 针对服装定制信息物理生产系统(cyber-physical production system,CPPS)中离散事件、连续过程、随机因素、时延特性以及冲突现象等混杂特性的建模问题,将智能工厂CPPS系统视为一类混杂系统,分析CPPS系统中的混杂特性,基于HSTPN(hybrid stochastic timed petri net)建立服装定制智能工厂CPPS的事件层和物理层模型,并基于HSTPNSim软件对该模型仿真.分析了不同材质服装熨烫的连续过程,系统时延以及工艺合格率对客户满意度的影响,并与红领集团的个性化定制生产节奏进行对比.仿真结果表明,服装定制CPPS系统中熨烫过程可实现对不同材质服装熨烫过程的描述,且通过对面辅料采购与设计过程并行、增加防刮保护以及设备升级等措施可提高顾客的满意度.因此,HSTPN模型可有效描述服装定制CPPS.

     

    Abstract: In this paper, we modeled and analyzed the hybrid characteristics, such as discrete events, continuous processes, stochastic factors, delay characteristics and conflict phenomena in the custom-tailor cyber-physical production system (CPPS). We also constructed a physical layer model of custom-tailor CPPS based on hybrid stochastic timed Petri net (HSTPN). By employing the HSTPNSim software, we investigated the continuous ironing process on different materials, the influence of time-delay and the qualification rate to customer satisfaction. These modeled results were compared with the Red-collar group's customized production pace. Our simulation results showed that the ironing process based on HSTPN can be successfully applied to different materials and that the customer satisfaction can be improved through measures such as parallel processing to the purchase and design, anti-scratch protection in logistics, and equipment upgrade. Therefore, the HSTPN model can effectively describe custom-tailor CPPS.

     

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