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Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry

Author

Listed:
  • Miguel A. Ortíz

    (Universidad de la Costa CUC)

  • Leidy E. Betancourt

    (Universidad de la Costa CUC)

  • Kevin Parra Negrete

    (Universidad de la Costa CUC)

  • Fabio Felice

    (University of Cassino and Southern Lazio)

  • Antonella Petrillo

    (University of Naples “Parthenope”)

Abstract

In today highly competitive and globalized markets, an efficient use of production resources is necessary for manufacturing enterprises. In this research, the problem of scheduling and sequencing of manufacturing system is presented. A flexible job shop problem sequencing problem is analyzed in detail. After formulating this problem mathematically, a new model is proposed. This problem is not only theoretically interesting, but also practically relevant. An illustrative example is also conducted to demonstrate the applicability of the proposed model.

Suggested Citation

  • Miguel A. Ortíz & Leidy E. Betancourt & Kevin Parra Negrete & Fabio Felice & Antonella Petrillo, 2018. "Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry," Annals of Operations Research, Springer, vol. 264(1), pages 409-433, May.
    • Handle: RePEc:spr:annopr:v:264:y:2018:i:1:d:10.1007_s10479-017-2678-x
    DOI: 10.1007/s10479-017-2678-x
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    References listed on IDEAS

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    1. Kacem, Imed & Hammadi, Slim & Borne, Pierre, 2002. "Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 60(3), pages 245-276.
    2. Prot, D. & Bellenguez-Morineau, O. & Lahlou, C., 2013. "New complexity results for parallel identical machine scheduling problems with preemption, release dates and regular criteria," European Journal of Operational Research, Elsevier, vol. 231(2), pages 282-287.
    3. A. Bożek & M. Wysocki, 2015. "Flexible job shop with continuous material flow," International Journal of Production Research, Taylor & Francis Journals, vol. 53(4), pages 1273-1290, February.
    4. Alvarez-Valdes, R. & Fuertes, A. & Tamarit, J. M. & Gimenez, G. & Ramos, R., 2005. "A heuristic to schedule flexible job-shop in a glass factory," European Journal of Operational Research, Elsevier, vol. 165(2), pages 525-534, September.
    5. Alper Türkyılmaz & Serol Bulkan, 2015. "A hybrid algorithm for total tardiness minimisation in flexible job shop: genetic algorithm with parallel VNS execution," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1832-1848, March.
    6. Kurz, Mary E. & Askin, Ronald G., 2004. "Scheduling flexible flow lines with sequence-dependent setup times," European Journal of Operational Research, Elsevier, vol. 159(1), pages 66-82, November.
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    Cited by:

    1. Ahmet Kursad Turker & Adnan Aktepe & Ali Firat Inal & Olcay Ozge Ersoz & Gulesin Sena Das & Burak Birgoren, 2019. "A Decision Support System for Dynamic Job-Shop Scheduling Using Real-Time Data with Simulation," Mathematics, MDPI, vol. 7(3), pages 1-19, March.
    2. Dauzère-Pérès, Stéphane & Ding, Junwen & Shen, Liji & Tamssaouet, Karim, 2024. "The flexible job shop scheduling problem: A review," European Journal of Operational Research, Elsevier, vol. 314(2), pages 409-432.

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