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A high quality solution constructive heuristic for flow shop sequencing

Author

Listed:
  • M S Nagano

    (University of São Paulo)

  • J V Moccellin

    (University of São Paulo)

Abstract

This paper addresses the flow shop sequencing problem. Following an investigation of the problem characteristics, a property of this scheduling problem is presented, and is used for the development of a new constructive heuristic with the objective of minimizing the total time to complete the schedule (makespan). The new method, denoted by N&M, is compared with the best constructive heuristic reported in the literature, named NEH. Results from computational experience have shown that for problems having up to 10 machines and 100 jobs, the new heuristic outperforms, on average, the NEH heuristic. There is no significant difference regarding computation effort for both NEH and N&M heuristics.

Suggested Citation

  • M S Nagano & J V Moccellin, 2002. "A high quality solution constructive heuristic for flow shop sequencing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(12), pages 1374-1379, December.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:12:d:10.1057_palgrave.jors.2601466
    DOI: 10.1057/palgrave.jors.2601466
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    Citations

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    Cited by:

    1. Benavides, Alexander J. & Vera, Antony, 2022. "The reversibility property in a job-insertion tiebreaker for the permutational flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(2), pages 407-421.
    2. Victor Fernandez-Viagas & Luis Sanchez-Mediano & Alvaro Angulo-Cortes & David Gomez-Medina & Jose Manuel Molina-Pariente, 2022. "The Permutation Flow Shop Scheduling Problem with Human Resources: MILP Models, Decoding Procedures, NEH-Based Heuristics, and an Iterated Greedy Algorithm," Mathematics, MDPI, vol. 10(19), pages 1-32, September.
    3. Ronconi, Debora P., 2004. "A note on constructive heuristics for the flowshop problem with blocking," International Journal of Production Economics, Elsevier, vol. 87(1), pages 39-48, January.
    4. Libralesso, Luc & Focke, Pablo Andres & Secardin, Aurélien & Jost, Vincent, 2022. "Iterative beam search algorithms for the permutation flowshop," European Journal of Operational Research, Elsevier, vol. 301(1), pages 217-234.
    5. Kalczynski, Pawel Jan & Kamburowski, Jerzy, 2007. "On the NEH heuristic for minimizing the makespan in permutation flow shops," Omega, Elsevier, vol. 35(1), pages 53-60, February.
    6. Martín Ravetti & Carlos Riveros & Alexandre Mendes & Mauricio Resende & Panos Pardalos, 2012. "Parallel hybrid heuristics for the permutation flow shop problem," Annals of Operations Research, Springer, vol. 199(1), pages 269-284, October.
    7. K Sheibani, 2010. "A fuzzy greedy heuristic for permutation flow-shop scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 813-818, May.
    8. Liu, Weibo & Jin, Yan & Price, Mark, 2017. "A new improved NEH heuristic for permutation flowshop scheduling problems," International Journal of Production Economics, Elsevier, vol. 193(C), pages 21-30.
    9. Fernandez-Viagas, Victor & Ruiz, Rubén & Framinan, Jose M., 2017. "A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation," European Journal of Operational Research, Elsevier, vol. 257(3), pages 707-721.
    10. 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.

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