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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
  • Shanghai Vocational College of Science and Technology
  • Shanghai Second Polytechnic University
  • Norwegian University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationAdvanced Manufacturing and Automation XII
EditorsYi Wang, Tao Yu, Kesheng Wang
PublisherSpringer
Pages450-457
Number of pages8
ISBN (Print)9789811993374
DOIs
Publication statusPublished - 26 Jan 2023
EventAdvanced Manufacturing and Automation XII (IWAMA 2022) - Xiamen
Duration: 1 Nov 20222 Nov 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume994 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAdvanced Manufacturing and Automation XII (IWAMA 2022)
CityXiamen
Period1/11/222/11/22
OtherAdvanced Manufacturing and Automation XII (IWAMA 2022) (01/11/2022-02/11/2022, Xiamen)

Keywords

  • Industry 4.0
  • Mass personaIization production (MPP)
  • False assembly location
  • Assembly control model
  • Control method

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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