Applying multi-start simulated annealing to schedule a flowline manufacturing cell with sequence dependent family setup times

Shih Wei Lin, Kuo Ching Ying*, Chung-Cheng Lu, Jatinder N.D. Gupta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Meta-heuristics that attempt to obtain (near) global optimal solutions of NP-hard combinatorial optimization problems generally require diversification to escape from local optimality. One way to achieve diversification is to utilize the multi-start hill climbing strategy. By combining the respective advantages of the multi-start hill climbing strategy and simulated annealing (SA), an effective multi-start simulated annealing (MSA) heuristic is proposed to minimize the makespan for a flowline manufacturing cell scheduling problem with sequence dependent family setup times. The heuristic performance is evaluated by comparing the results achieved by the proposed heuristic with those achieved by the existing meta-heuristics. The computational results show that following multi-start refinement the proposed MSA heuristic is more effective compared to the state-of the-art meta-heuristics on the same benchmark instances.

Original languageEnglish
Pages (from-to)246-254
Number of pages9
JournalInternational Journal of Production Economics
Volume130
Issue number2
DOIs
StatePublished - 1 Apr 2011

Keywords

  • Flowline manufacturing cell
  • Meta-heuristics
  • Multi-start simulated annealing
  • Scheduling
  • Sequence dependent family setups

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