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Hybrid flow shop scheduling with precedence constraints and time lags to minimize maximum lateness

Author

Listed:
  • Valerie Botta-Genoulaz

    (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

Abstract

We study the scheduling of N jobs in a V-stage hybrid flow shop with identical parallel machines, when jobs are subject to precedence constraints, several time lags, and due-dates. Precedence constraints concern jobs; they enable the modeling of several uses of the same sequence of machines or di!erent processing units in a flow shop organization. Time lags can be either machine setup time, machine removal time or transportation time. Six new heuristics are presented to solve this problem minimizing maximum lateness. Numerous experiments have been done to assess the performance and robustness of these algorithms. Computational results illustrate the solution quality.

Suggested Citation

  • Valerie Botta-Genoulaz, 2000. "Hybrid flow shop scheduling with precedence constraints and time lags to minimize maximum lateness," Post-Print hal-00398647, HAL.
    • Handle: RePEc:hal:journl:hal-00398647
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    Citations

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    Cited by:

    1. Carlos Paternina-Arboleda & Jairo Montoya-Torres & Milton Acero-Dominguez & Maria Herrera-Hernandez, 2008. "Scheduling jobs on a k-stage flexible flow-shop," Annals of Operations Research, Springer, vol. 164(1), pages 29-40, November.
    2. Madiha Harrabi & Olfa Belkahla Driss & Khaled Ghedira, 2021. "A hybrid evolutionary approach to job-shop scheduling with generic time lags," Journal of Scheduling, Springer, vol. 24(3), pages 329-346, June.
    3. Janiak, Adam & Kozan, Erhan & Lichtenstein, Maciej & Oguz, Ceyda, 2007. "Metaheuristic approaches to the hybrid flow shop scheduling problem with a cost-related criterion," International Journal of Production Economics, Elsevier, vol. 105(2), pages 407-424, February.
    4. Theodor Freiheit & Wei Li, 2017. "The effect of work content imbalance and its interaction with scheduling method on sequential flow line performance," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2791-2805, May.
    5. Allahverdi, Ali & Ng, C.T. & Cheng, T.C.E. & Kovalyov, Mikhail Y., 2008. "A survey of scheduling problems with setup times or costs," European Journal of Operational Research, Elsevier, vol. 187(3), pages 985-1032, June.
    6. F Sivrikaya şerifoğlu & G Ulusoy, 2004. "Multiprocessor task scheduling in multistage hybrid flow-shops: a genetic algorithm approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(5), pages 504-512, May.
    7. Chen, Yin-Yann & Cheng, Chen-Yang & Wang, Li-Chih & Chen, Tzu-Li, 2013. "A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems—A case study for solar cell industry," International Journal of Production Economics, Elsevier, vol. 141(1), pages 66-78.
    8. Marco Schulze & Julia Rieck & Cinna Seifi & Jürgen Zimmermann, 2016. "Machine scheduling in underground mining: an application in the potash industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 365-403, March.
    9. Kuo, Yiyo & Yang, Taho & Cho, Chiwoon & Tseng, Yao-Ching, 2008. "Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(1), pages 40-56.
    10. Ruiz, Rubén & Vázquez-Rodríguez, José Antonio, 2010. "The hybrid flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 1-18, August.
    11. Amin-Naseri, Mohammad Reza & Beheshti-Nia, Mohammad Ali, 2009. "Hybrid flow shop scheduling with parallel batching," International Journal of Production Economics, Elsevier, vol. 117(1), pages 185-196, January.
    12. Quadt, Daniel & Kuhn, Heinrich, 2007. "A taxonomy of flexible flow line scheduling procedures," European Journal of Operational Research, Elsevier, vol. 178(3), pages 686-698, May.
    13. W L Pearn & S H Chung & M H Yang & K P Shiao, 2008. "Solution strategies for multi-stage wafer probing scheduling problem with reentry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 637-651, May.
    14. Yang, Taho & Kuo, Yiyo & Cho, Chiwoon, 2007. "A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1859-1873, February.

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