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Job Shop Scheduling with Flexible Energy Prices and Time Windows

In: Operations Research Proceedings 2019

Author

Listed:
  • Andreas Bley

    (Universität Kassel)

  • Andreas Linß

    (Universität Kassel)

Abstract

We consider a variant of the job shop scheduling problem, which considers different operational states of the machines (such as off, ramp up, setup, processing, standby and ramp down) and time-dependent energy prices and aims at minimizing the energy consumption of the machines. We propose an integer programming formulation that uses binary variables to explicitly describe the non-operational periods of the machines and present a branch-and-price approach for its solution. Our computational experiments show that this approach outperforms the natural time-indexed formulation.

Suggested Citation

  • Andreas Bley & Andreas Linß, 2020. "Job Shop Scheduling with Flexible Energy Prices and Time Windows," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 207-213, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_25
    DOI: 10.1007/978-3-030-48439-2_25
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