Production-Logistics Synchronisation Mechanism and Method of Cellular Assembly Systems Based on Digital-Twin and Out-of-Order Execution

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Weijie Zeng, Mingxing Li, Binyang Liu, Ting Qu, George Q. Huang
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引用次数: 0

Abstract

In the realm of customised production modes, where dynamic disturbances are frequent, synchronised operations between production and logistics in cellular assembly systems play a pivotal role in swiftly responding to rapidly evolving personalised demands. The primary challenge lies in achieving efficient synchronisation of production and logistics amidst intricate operational relationships. This study proposes a production-logistics synchronisation mechanism and method of cellular assembly systems based on digital-twins and Out-of-Order execution. This mechanism enables real-time monitoring of operational processes and robust production and logistics operations, by dynamically adjusting the order of instructions completion based on the executability status and priority of the production and logistics instructions. Consequently, the sequence of job instructions is optimised. Finally, the effectiveness of this approach is substantiated through experiments, establishing it as a viable solution for synchronised production and logistics operations in cellular assembly systems.

Abstract Image

基于数字孪生和乱序执行的元胞装配系统生产-物流同步机制与方法
在定制生产模式领域,动态干扰频繁,在细胞装配系统中,生产和物流之间的同步操作在快速响应快速发展的个性化需求方面发挥着关键作用。主要的挑战在于在复杂的运营关系中实现生产和物流的有效同步。本文提出了一种基于数字孪生和乱序执行的元胞装配系统生产-物流同步机制和方法。该机制通过根据生产和物流指令的可执行状态和优先级动态调整指令完成顺序,实现对操作过程和稳健的生产和物流操作的实时监控。因此,作业指令的顺序是优化的。最后,通过实验证实了这种方法的有效性,将其作为细胞装配系统中同步生产和物流操作的可行解决方案。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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