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A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

机译：基于CPS和工业物联网的智能生产物流系统框架

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摘要

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems.
机译：工业物联网（IIoT）受到了学术界和工业界的越来越多的关注。但是，基于IIoT的车间车间生产和物流之间的集成仍然存在一些挑战，包括过长的等待时间和严重的能源浪费。为了应对这些挑战，提出了一个描述智能生产物流系统的机制和方法的框架，以实现关键制造资源的智能建模并研究自组织配置机制。开发了基于分析目标级联的数据驱动模型以实现自组织配置。提出了一个基于中国发动机制造商的案例研究，以验证可行性并评估所提出框架和开发方法的性能。结果表明，减少了制造时间和能耗，计算时间合理。本文潜在地使制造商能够部署基于IIoT的应用程序并提高生产物流系统的效率。

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