A state-of-the-art on production planning in Industry 4.0

被引:20
|
作者
Luo, Dan [1 ]
Thevenin, Simon [1 ]
Dolgui, Alexandre [1 ]
机构
[1] IMT Atlantique, LS2N CNRS, 4 Rue Alfred Kastler,BP 20722, F-44307 Nantes, France
基金
欧盟地平线“2020”;
关键词
Production planning; industry; 4; 0; digital twin; cloud manufacturing; blockchain; big data analytics; SUPPLY CHAIN MANAGEMENT; CYBER-PHYSICAL SYSTEMS; LEAD TIME PREDICTION; LOT-SIZING PROBLEM; DIGITAL TWIN; BIG DATA; BLOCKCHAIN TECHNOLOGY; OPTIMIZATION APPROACH; MANUFACTURING SYSTEM; SERVICE LEVEL;
D O I
10.1080/00207543.2022.2122622
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Industry 4.0 revolution is changing the manufacturing landscape. A broad set of new technologies emerged (including software and connected equipment) that digitise manufacturing systems. These technologies bring new vitality and opportunities to the manufacturing industry, but they also bring new challenges. This paper focuses on the impact of Industry 4.0 on production planning approaches and software. We first propose a digital twin framework that integrates production planning systems and frontier technologies. The frontier technologies that may impact production planning software are the internet of things, cloud manufacturing, blockchain, and big data analytics. Second, we provide a state-of-the-art on the application of each technology in the production planning, as well as a detailed analysis of the benefit and application status. Finally, this paper discusses the future research and application directions in the production planning. We conclude that Industry 4.0 will lead to the construction of data-driven models for production planning software. These tools will include models built accurately from data, account for uncertainty, and partially actuate the decision autonomously.
引用
收藏
页码:6602 / 6632
页数:31
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