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Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review

Author

Listed:
  • João M. R. C. Fernandes

    (Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal
    LIAAD, INESC TEC, 4200-465 Porto, Portugal)

  • Seyed Mahdi Homayouni

    (LIAAD, INESC TEC, 4200-465 Porto, Portugal)

  • Dalila B. M. M. Fontes

    (LIAAD, INESC TEC, 4200-465 Porto, Portugal
    Faculdade de Economia, Universidade do Porto, 4200-464 Porto, Portugal)

Abstract

Energy efficiency has become a major concern for manufacturing companies not only due to environmental concerns and stringent regulations, but also due to large and incremental energy costs. Energy-efficient scheduling can be effective at improving energy efficiency and thus reducing energy consumption and associated costs, as well as pollutant emissions. This work reviews recent literature on energy-efficient scheduling in job shop manufacturing systems, with a particular focus on metaheuristics. We review 172 papers published between 2013 and 2022, by analyzing the shop floor type, the energy efficiency strategy, the objective function(s), the newly added problem feature(s), and the solution approach(es). We also report on the existing data sets and make them available to the research community. The paper is concluded by pointing out potential directions for future research, namely developing integrated scheduling approaches for interconnected problems, fast metaheuristic methods to respond to dynamic scheduling problems, and hybrid metaheuristic and big data methods for cyber-physical production systems.

Suggested Citation

  • João M. R. C. Fernandes & Seyed Mahdi Homayouni & Dalila B. M. M. Fontes, 2022. "Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-34, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6264-:d:820472
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    References listed on IDEAS

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    1. Massimo Bertolini & Francesco Leali & Davide Mezzogori & Cristina Renzi, 2023. "A Keyword, Taxonomy and Cartographic Research Review of Sustainability Concepts for Production Scheduling in Manufacturing Systems," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    2. Bin Ji & Shujing Zhang & Samson S. Yu & Binqiao Zhang, 2023. "Mathematical Modeling and A Novel Heuristic Method for Flexible Job-Shop Batch Scheduling Problem with Incompatible Jobs," Sustainability, MDPI, vol. 15(3), pages 1-26, January.

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