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Industry 4.0: Smart Scheduling

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  • Daniel Alejandro Rossit
  • Fernando Tohmé
  • Mariano Frutos

Abstract

Smart Manufacturing and Industry 4.0 production environments integrate the physical and decisional aspects of manufacturing processes into autonomous and decentralised systems. One of the main aspects in these systems is production planning, in particular scheduling operations on machines. We introduce here a new decision-making schema, Smart Scheduling, intended to yield flexible and efficient production schedules on the fly, taking advantage of the features of these new environments. The ability to face unforeseen and disruptive events is one of the main improvements in our proposed schema, which uses an efficient screening procedure (Tolerance Scheduling) to lessen the need of rescheduling in the face of those events.

Suggested Citation

  • Daniel Alejandro Rossit & Fernando Tohmé & Mariano Frutos, 2019. "Industry 4.0: Smart Scheduling," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3802-3813, June.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:12:p:3802-3813
    DOI: 10.1080/00207543.2018.1504248
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    Cited by:

    1. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    2. José Celso Contador & Walter Cardoso Satyro & Jose Luiz Contador & Mauro de Mesquita Spinola, 2020. "Flexibility in the Brazilian Industry 4.0: Challenges and Opportunities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 15-31, June.
    3. Meloni, Carlo & Pranzo, Marco & Samà, Marcella, 2022. "Evaluation of VaR and CVaR for the makespan in interval valued blocking job shops," International Journal of Production Economics, Elsevier, vol. 247(C).
    4. Basile, Vincenzo & Tregua, Marco & Giacalone, Massimiliano, 2024. "A three-level view of readiness models: Statistical and managerial insights on industry 4.0," Technology in Society, Elsevier, vol. 77(C).
    5. Alves de Queiroz, Thiago & Iori, Manuel & Kramer, Arthur & Kuo, Yong-Hong, 2023. "Dynamic scheduling of patients in emergency departments," European Journal of Operational Research, Elsevier, vol. 310(1), pages 100-116.
    6. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).

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