Artificial intelligence in product lifecycle management

被引：41

作者：

Wang, Lei ^{[1
]}

Liu, Zhengchao ^{[1
]}

Liu, Ang ^{[2
]}

Tao, Fei ^{[3
]}

机构：

[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China

[2] Univ New South Wales, Sch Mech & Mfg Engn, Sydney, NSW 2053, Australia

[3] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2021年 / 114卷 / 3-4期

基金：

中国国家自然科学基金;

关键词：

Artificial intelligence; Product lifecycle management; Smart manufacturing; Big data; FLEXIBLE JOB-SHOP; SUPPLY CHAIN; NEURAL-NETWORKS; SCHEDULING OPTIMIZATION; COLLABORATIVE DESIGN; OPTIMAL ALLOCATION; HEALTH MANAGEMENT; MACHINE VISION; BIG DATA; SYSTEMS;

D O I：

10.1007/s00170-021-06882-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, artificial intelligence (AI) technology receives extensive attention in the manufacturing field. As the core technology, it generates considerable interest among smart manufacturing and Industry 4.0 strategy. Product lifecycle management (PLM) copes with various kinds of engineering, business, and management activities concerning a product throughout its whole lifecycle-from the inception of an intangible concept through the recycling of a finished product. In the context of smart manufacturing, this paper reviews various theories, algorithms, and technologies of AI to different stages of PLM (i.e., product design, manufacturing, and service). A structured roadmap is presented to navigate the future research and application of AI in PLM. This paper also discusses the opportunities and challenges of applying AI for PLM.

引用

页码：771 / 796

页数：26

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