An ACO-based approach for inter-cell scheduling with various types of machines

Xianwen Meng, Yuhui Ju, Xiaohai Wang, Yan Wang, Dongni Li

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

2 Citations (Scopus)

Abstract

Focusing on the exceptional jobs that need to visit machines in multiple job shop cells in Cellular Manufacturing System (CMS), the inter-cell moves between batch machines and discrete machines is considered and a combinational ant colony optimization (CACO) approach is proposed to solve the problem of scheduling in multiple job shop cells. The CACO uses different heuristic information in assignment, sequencing and batching processes respectively, and updates the pheromone trail when the whole solution is constructed, so that cooperative scheduling is achieved. The experimental results show the CACO has significant advantages comparing with CPLEX with respect to makespan and utilization rate of batch processing machine.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages1812-1817
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China
Duration: 25 May 201327 May 2013

Publication series

Name2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/TerritoryChina
CityGuiyang
Period25/05/1327/05/13

Keywords

  • Ant Colony Optimization
  • Batch processing machine
  • Cellular Manufacturing Systems
  • Discrete machine
  • Inter-cell move

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