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Green Scheduling of a Complex Flexible Manufacturing Problem

In: Handbook of Smart Energy Systems

Author

Listed:
  • Maryam Fetri

    (Islamic Azad University)

  • Seyed Habib A. Rahmati

    (Islamic Azad University)

Abstract

With the problem of global warming and rising energy costs, manufacturing companies are increasingly paying attention to reducing energy consumption. Suitable planning and scheduling can have significant effects on reducing energy consumption in production systems. This chapter studies the development of practical classical flexible job shop scheduling problem (FJSP) by dual-resource constraint with the aim of minimizing power consumption. Therefore, the sequencing and assignments of jobs are conducted according to the energy consideration by means of intelligent meta-heuristic algorithms (MHA). Adapted harmony search (HS) and simulated annealing algorithms (SA) are our proposing MHA to cope with this complex problem. The algorithms are also tuned by the Taguchi method with energy response target.

Suggested Citation

  • Maryam Fetri & Seyed Habib A. Rahmati, 2023. "Green Scheduling of a Complex Flexible Manufacturing Problem," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 1021-1043, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_122
    DOI: 10.1007/978-3-030-97940-9_122
    as

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