Logistics interfaces with manufacturing throughout the entire production process need synchronous operations. For achieving integrated organization and operations between manufacturing and logistics, this article introduces the concept of shop-floor logistics and manufacturing synchronization with four principles, including: 1) synchronization-oriented manufacturing system; 2) synchronized information sharing; 3) synchronized decision making; and 4) synchronized operations. The marriage of the principles rendered the development of an overall framework of the Industrial Internet of Things (IIoT) and digital twin-enabled graduation intelligent manufacturing system (GiMS). A mixed-integer programming-based synchronization mechanism is proposed under GiMS. To meet the requirement of fast decision making in real-life shop-floor logistics and manufacturing synchronization problems, an equivalent constraint programming model is developed and tested. The observation and analysis of the case company show the advantage of the proposed concept and approach with the best performance regarding key performance indicators. The concept of synchronization provides an insight for understanding the interaction of logistics and manufacturing at the operational level. This article potentially enables manufacturers to reevaluate and develop their manufacturing planning and control strategies in the IIoT and digital twin-based manufacturing environment.

中文翻译：

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工业物联网下车间物流与制造同步与数字孪生毕业智能制造系统

在整个生产过程中，物流与制造的接口需要同步操作。为实现制造与物流的一体化组织与运作，本文引入了车间物流与制造同步的概念，并遵循四个原则，包括：1）面向同步的制造系统；2）同步信息共享；3）同步决策；4) 同步操作。这些原则的结合促成了工业物联网 (IIoT) 和支持数字双胞胎的毕业智能制造系统 (GiMS) 的总体框架的发展。在 GiMS 下提出了一种基于混合整数规划的同步机制。为了满足现实生活中车间物流和制造同步问题中快速决策的要求，开发并测试了一个等效约束规划模型。案例公司的观察和分析显示了所提出的概念和方法的优势，在关键绩效指标方面表现最佳。同步的概念为理解物流和制造在操作层面的相互作用提供了一种洞察力。本文可能使制造商能够在 IIoT 和基于数字双胞胎的制造环境中重新评估和开发他们的制造规划和控制策略。案例公司的观察和分析显示了所提出的概念和方法的优势，在关键绩效指标方面表现最佳。同步的概念为理解物流和制造在操作层面的相互作用提供了一种洞察力。本文可能使制造商能够在 IIoT 和基于数字双胞胎的制造环境中重新评估和开发他们的制造规划和控制策略。案例公司的观察和分析显示了所提出的概念和方法的优势，在关键绩效指标方面表现最佳。同步的概念为理解物流和制造在操作层面的相互作用提供了一种洞察力。本文可能使制造商能够在 IIoT 和基于数字双胞胎的制造环境中重新评估和开发他们的制造规划和控制策略。