School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China.
Math Biosci Eng. 2023 Jan;20(2):3120-3145. doi: 10.3934/mbe.2023146. Epub 2022 Dec 2.
When a cloud manufacturing environment extends to multi-user agent, multi-service agent and multi-regional spaces, the process of manufacturing services faces increased disturbances. When a task exception occurs because of disturbance, it is necessary to quickly reschedule the service task. We propose a multi-agent simulation modeling approach to simulate and evaluate the service process and task rescheduling strategy of cloud manufacturing, with which impact parameters can be achieved through careful study under different system disturbances. First, the simulation evaluation index is designed. In addition to the quality of service index of cloud manufacturing, the adaptive ability of task rescheduling strategy in response to a system disturbance is considered, and the flexibility of cloud manufacturing service index is proposed. Second, considering the substitution of resources, the internal and external transfer strategies of service providers are proposed. Finally, a simulation model of the cloud manufacturing service process of a complex electronic product is constructed by multi-agent simulation, and simulation experiments under multiple dynamic environments are designed to evaluate different task rescheduling strategies. The experimental results indicate that the external transfer strategy of the service provider in this case has higher quality of service and flexibility of service. Sensitivity analysis indicates that the matching rate of substitute resources for internal transfer strategy of service providers and the logistics distance of external transfer strategy of service providers are both sensitive parameters, which have significant impacts on the evaluation indexes.
当云制造环境扩展到多用户代理、多服务代理和多区域空间时，制造服务的过程面临着更多的干扰。当由于干扰而导致任务异常时，需要快速重新安排服务任务。我们提出了一种多代理仿真建模方法来模拟和评估云制造的服务过程和任务调度策略，可以通过在不同的系统干扰下仔细研究来实现影响参数。首先，设计了仿真评估指标。除了云制造的服务质量指标外，还考虑了任务调度策略对系统干扰的自适应能力，并提出了云制造服务指标的灵活性。其次，考虑资源替代，提出了服务提供商的内部和外部转移策略。最后，通过多代理仿真构建了复杂电子产品云制造服务过程的仿真模型，并设计了多个动态环境下的仿真实验来评估不同的任务调度策略。实验结果表明，在这种情况下，服务提供商的外部转移策略具有更高的服务质量和服务灵活性。敏感性分析表明，服务提供商内部转移策略的替代资源匹配率和服务提供商外部转移策略的物流距离都是敏感参数，对评价指标有显著影响。
