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A credit-based dynamical evaluation method for the smart configuration of manufacturing services under Industrial Internet of Things

机译：基于信用的动态评估方法，用于工业互联网下制造服务的智能配置

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摘要

Most scheduling problems are required to follow rigid metrics, such as the maximum completion time, earliest deadline first, etc., ignoring the flexibility of manufacturing services (MSs) and the effects of their historical data hidden in millions of manufacturing activities. The historical data serves as a powerful basis for describing the comprehensiveness or credibility of the MS itself with the help of Industrial IoT enabling all equipment to communicate and take preventive actions. Similar to the bank credit for individuals, MSs should also have their own referential credit values when choosing the most suitable service for a specific manufacturing task. This paper summarizes the MS attributes from six aspects with sufficient sub-attributes. The fuzzy Analytic Network Process combined with the Cross-Entropy method is employed to evaluate the credit of MSs in the complex manufacturing network system. Such service scoring mechanism (SSM) can personify a comprehensive credit evaluation of services, where, a smart service configuration mode based on credit is proposed for carrying out the supply-demand matching with the help of the data-security technology. Subsequently, a credit-based manufacturing mode is derived under SSM. Numerical examples are carried out to demonstrate the validity of the matching mode. The result may assist manufacturers to allocate their manufacturing tasks in real time in a "credit" way and make quicker decisions in exceptional circumstances, while making the chosen service truly competent enough to finish the work, so as to further improve the customer satisfaction.
机译：大多数调度问题都需要遵循严格的指标，如最大完工时间、最早截止日期等，忽略了制造服务（MSs）的灵活性及其隐藏在数百万制造活动中的历史数据的影响。历史数据是描述MS自身的全面性或可信度的有力基础，借助工业物联网，所有设备都能进行通信并采取预防措施。与个人的银行信用类似，MSs在为特定制造任务选择最合适的服务时，也应该有自己的参考信用值。本文从六个方面总结了MS属性，并给出了足够的子属性。将模糊分析网络法与交叉熵法相结合，对复杂制造网络系统中的制造支持系统进行信用评价。这种服务评分机制（SSM）可以拟人化服务的综合信用评估，其中，提出了一种基于信用的智能服务配置模式，借助数据安全技术进行供需匹配。随后，在SSM下导出了基于信用的制造模式。数值算例验证了匹配模式的有效性。该结果可以帮助制造商以“信用”的方式实时分配其制造任务，并在特殊情况下更快地做出决策，同时使所选服务真正有能力完成工作，从而进一步提高客户满意度。

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