Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm

Jufeng Wang, Chunfeng Liu, Meng Chu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The work aims to solve a cell formation and product scheduling problem by considering dual-resource setting, supply chain, profit maximization, and operational error rate in multi-factory cellular manufacturing systems. This problem is important and highly challenging. To solve it, this work proposes a genetic algorithm with novel initialization. Computational experiments are conducted to show that the proposed algorithm has better performance than conventional genetic algorithm without the proposed heuristic given the same computational budget.

Original languageEnglish (US)
Title of host publication2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021
PublisherIEEE Computer Society
Pages1207-1212
Number of pages6
ISBN (Electronic)9781665418737
DOIs
StatePublished - Aug 23 2021
Event17th IEEE International Conference on Automation Science and Engineering, CASE 2021 - Lyon, France
Duration: Aug 23 2021Aug 27 2021

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2021-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference17th IEEE International Conference on Automation Science and Engineering, CASE 2021
Country/TerritoryFrance
CityLyon
Period8/23/218/27/21

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Cell formation
  • Cellular manufacturing system
  • Genetic Algorithm
  • Scheduling
  • Supply chain

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