Virtual manufacturing in Industry 4.0: A review

Mohsen Soori , Behrooz Arezoo , Roza Dastres
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Abstract

Virtual manufacturing is one of the key components of Industry 4.0, the fourth industrial revolution, in improving manufacturing processes. Virtual manufacturing enables manufacturers to optimize their production processes using real-time data from sensors and other connected devices in Industry 4.0. Web-based virtual manufacturing platforms are a critical component of Industry 4.0, enabling manufacturers to design, test, and optimize their processes collaboratively and efficiently. In Industry 4.0, radio frequency identification (RFID) technology is used to provide real-time visibility and control of the supply chain as well as to enable the automation of various manufacturing processes. Big data analytics can be used in conjunction with virtual manufacturing to provide valuable insights and optimize production processes in Industry 4.0. Artificial intelligence (AI) and virtual manufacturing have the potential to enhance the effectiveness, consistency, and adaptability of manufacturing processes, resulting in faster production cycles, better-quality products, and lower prices. Recent developments in the application of virtual manufacturing systems to digital manufacturing platforms from different perspectives, such as the Internet of things, big data analytics, additive manufacturing, autonomous robots, cybersecurity, and RFID technology in Industry 4.0, are discussed in this study to analyze and develop the part manufacturing process in Industry 4.0. The limitations and advantages of virtual manufacturing systems in Industry 4.0 are discussed, and future research projects are also proposed. Thus, productivity in the part manufacturing process can be enhanced by reviewing and analyzing the applications of virtual manufacturing in Industry 4.0.

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工业 4.0 中的虚拟制造:综述
虚拟制造是第四次工业革命 "工业 4.0 "在改进制造流程方面的关键组成部分之一。虚拟制造使制造商能够利用工业 4.0 中传感器和其他联网设备提供的实时数据优化生产流程。基于网络的虚拟制造平台是工业 4.0 的重要组成部分,使制造商能够高效地协同设计、测试和优化流程。在工业 4.0 中,射频识别(RFID)技术用于提供供应链的实时可视性和控制,以及实现各种制造流程的自动化。大数据分析可与虚拟制造结合使用,为工业 4.0 提供有价值的见解并优化生产流程。人工智能(AI)和虚拟制造有可能提高制造流程的有效性、一致性和适应性,从而实现更快的生产周期、更高质量的产品和更低的价格。本研究从物联网、大数据分析、增材制造、自主机器人、网络安全和工业 4.0 中的 RFID 技术等不同角度探讨了虚拟制造系统在数字化制造平台中应用的最新发展,以分析和发展工业 4.0 中的零件制造流程。本研究还讨论了工业 4.0 中虚拟制造系统的局限性和优势,并提出了未来的研究项目。因此,通过回顾和分析虚拟制造在工业 4.0 中的应用,可以提高零件制造过程的生产率。
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