Artificial intelligence in product lifecycle management

被引：0
|
作者：
Lei Wang
Zhengchao Liu
Ang Liu
Fei Tao
机构：
[1] Wuhan University of Technology,School of Mechanical and Electrical Engineering
[2] University of New South Wales,School of Mechanical and Manufacturing Engineering
[3] Beihang University,School of Automation Science and Electrical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2021年 / 114卷
关键词：
Artificial intelligence; Product lifecycle management; Smart manufacturing; Big data;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：771 / 796
页数：25
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