Research on Production Balance Technology of Assembly Pulse Line Based on Non-Dominated Genetic Algorithm

Jiajun Cui, Jianqun Wang, Aimin Wang, Shengwei Zhang

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

1 Citation (Scopus)

Abstract

Under the mobile production mode of flow production line, the establishment of pulsating production line in general assembly workshop has become a development trend, and it is particularly important to solve the balance problem of pulsating assembly line in workshop. Considering the constraints such as assembly line beat and assembly sequence, aiming at minimizing the assembly time and the number of human resources, this paper constructs a multi-objective and multi-constraint balance problem model of final assembly pulsating production line, and designs a non dominated sorting genetic algorithm to solve it. Combined with the actual data of a workshop, the program is developed, and the final results are analyzed in detail. It shows that the algorithm can greatly improve the assembly efficiency and personnel utilization, and verify the feasibility and effectiveness of the algorithm.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1605-1609
Number of pages5
ISBN (Electronic)9781665408523
DOIs
Publication statusPublished - 2022
Event19th IEEE International Conference on Mechatronics and Automation, ICMA 2022 - Guilin, Guangxi, China
Duration: 7 Aug 202210 Aug 2022

Publication series

Name2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022

Conference

Conference19th IEEE International Conference on Mechatronics and Automation, ICMA 2022
Country/TerritoryChina
CityGuilin, Guangxi
Period7/08/2210/08/22

Keywords

  • Multi-objective and multi-constraint
  • Non-dominated genetic algorithm
  • Pulse production line of General Assembly Workshop

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