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Production control method and DEMO study of mass personalization production in Industry 4.0

  • Baorui Li
    ,
  • Xing Wu
    ,
  • Dong Zhang
    ,
  • Yi Wang
    ,
  • Jinghui Yang
    ,
  • Kesheng Wang
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

With the development of information technology, it is more and more convenient to obtain personalized customer demand information. After obtaining personalized demand information, how to transform the customer's personalized demand information into the products to meet the customer needs becomes the difficulty of manufacturing industry. Aiming at this production difficulty, this paper carries out research on the control method of personalized product assembly in workshop equipment layer. A personalized product assembly control model was proposed, which can assemble different products according to different order information to meet the needs of different customers. In the assembly control model, in order to solve the problem that the same assembly task needs to trigger the robot action many times, the concept of false assembly location is proposed. Finally, Personalized product assembly line based on industry 4.0 was developed in the Robot Laboratory of Shanghai Polytechnic University, and the effectiveness of the proposed assembly control method was verified.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 450-457 (8 pages)

Publication milestones

  • Published - 26/01/2023

Publication status

Published - 26/01/2023

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Electrical Engineering
    ISSN (Print): 1876-1100
    ISSN (Electronic): 1876-1119
    Volume: 994 LNEE

ISBN (Print)

9789811993374

External Publication IDs

  • handle.net: 10547/626889
  • Scopus: 85149987301

Host publication title

Advanced Manufacturing and Automation XII

Host publication editors

  • Yi Wang
  • Tao Yu
  • Kesheng Wang

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