Cell formation using a simulated annealing algorithm with variable neighbourhood

Kuo Ching Ying, Shih Wei Lin*, Chung-Cheng Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations


The broad applications of cellular manufacturing make the cell formation problem (CFP) a core subject in the field of manufacturing. Due to the combinatorial nature of the CFP, a simulated annealing-based meta-heuristic with variable neighbourhood was developed to form part-machine cells. To validate and verify the proposed approach, computational experiments were conducted on a set of CFPs from the literature. Using the grouping efficacy as a performance criterion, the proposed approach is shown to outperform existing state-of-the-art algorithms by exceeding or matching the best known solutions in the majority of the test problems. The evaluation results clearly show that this study successfully develops an effective approach for CFPs.

Original languageEnglish
Pages (from-to)22-42
Number of pages21
JournalEuropean Journal of Industrial Engineering
Issue number1
StatePublished - 1 Jan 2011


  • Cell formation problem
  • CFP
  • Manufacturing cell design
  • Meta-heuristic
  • Simulated annealing


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