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Artificial intelligence in product lifecycle management

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Abstract

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.

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Funding

This research is financially supported by the National Key Research and Development Program of China (2016YFB1101703), the National Natural Science Foundation of China under Grant (No. 51905396) and the Beijing Science Fund for Distinguished Young Scholars (no. JQ19011).

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Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, 430070, People’s Republic of China

    Lei Wang & Zhengchao Liu

  2. School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, 2053, Australia

    Ang Liu

  3. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, People’s Republic of China

    Fei Tao

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  1. Lei Wang
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  2. Zhengchao Liu
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Contributions

Lei Wang: literature review, data collection, manuscript writing and funding.

Zhengchao Liu: literature review, data collection, and manuscript writing.

Ang Liu: critical advice, manuscript proofread and valuable comments.

Fei Tao: paper original idea, supervision and guidance, critical advice, manuscript proofread, valuable comments, and funding.

All authors read and approved the final manuscript.

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Correspondence to Fei Tao.

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Wang, L., Liu, Z., Liu, A. et al. Artificial intelligence in product lifecycle management. Int J Adv Manuf Technol 114, 771–796 (2021). https://doi.org/10.1007/s00170-021-06882-1

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