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Beam search-based heuristics for the mixed no-idle flowshop with total flowtime criterion

Author

Listed:
  • Fernando Luis Rossi

    (Federal Institute of São Paulo, Management Department)

  • Marcelo Seido Nagano

    (University of São Paulo, Trabalhador São-carlence avenue, 400)

Abstract

This paper addresses the mixed no-idle flowshop scheduling problem with flowtime minimization. In a mixed no-idle environment, machines are set in series and some machines do not allow idleness and require continuous processing. We approached a variant of this problem that analyses the total flowtime minimization criterion. As this is a new problem, novel high-performance heuristics and metaheuristics were presented. In order to assess the proposed algorithms, we evaluated well-known heuristics and metaheuristics from similar scheduling problems. Furthermore, we developed a speed-up procedure to increase the efficiency of the proposed methods. The presented algorithms were exhaustively tested in a well-known large benchmark with 1750 problem instances. Our results indicate that the novel heuristics and metaheuristics are computationally efficient and obtain high-quality solutions.

Suggested Citation

  • Fernando Luis Rossi & Marcelo Seido Nagano, 2022. "Beam search-based heuristics for the mixed no-idle flowshop with total flowtime criterion," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1311-1346, December.
    • Handle: RePEc:spr:orspec:v:44:y:2022:i:4:d:10.1007_s00291-022-00678-9
    DOI: 10.1007/s00291-022-00678-9
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    References listed on IDEAS

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