Coordinative scheduling of the mobile robots and machines based on hybrid GA in flexible manufacturing systems

Sheng Qu, Yaoguang Hu*, Weibo Ren, Xiaonan Yang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Mobile robots (MRs) constitute a novel manufacturing concept in flexible manufacturing systems and can perform transportation tasks of parts and tools, which significantly contributes to the workshop flexibility and sharing of manufacturing resources. In such a scene, this paper focuses on a complex coordinative scheduling problem of MRs and machines, and a mixed-integer programming model is developed to optimize the makespan. Then, a hybrid genetic algorithm (GA) embedded with a rule-based solution construction method is proposed to solve this problem. Finally, the case study is conducted, and the results indicate that the proposed model performs well with our methods.

Original languageEnglish
Pages (from-to)1005-1010
Number of pages6
JournalProcedia CIRP
Volume104
DOIs
Publication statusPublished - 2021
Event54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, Greece
Duration: 22 Sept 202124 Sept 2021

Keywords

  • Mobile robots
  • coordinative scheduling
  • flexible manufacturing system
  • hybrid genetic algorithm
  • rule-based approach

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