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Job Scheduling under Time-of-Use Energy Tariffs for Sustainable Manufacturing: A Survey

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  • Catanzaro, Daniele

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

  • Pesenti, Raffaele
  • Ronco, Roberto

Abstract

The combined increase of energy demand and environmental pollution at a global scale is forcing a rethinking of energy supply policies and production models in sustainable terms. In order to flatten demand peaks in power plants, energy suppliers adopted pricing policies that stimulate a change in the consumption practices of customers. One example of such policies is the Time-of-Use (TOU)-based tariffs, which encourage electricity usage at off-peak hours by means of low prices, while penalizing peak hours with higher prices. To avoid a sharp rise of the energy supply costs, manufacturing industry must carefully reschedule the production processes, by shifting them towards less expensive periods. TOU-based tariffs impose specific constraints on the completions of the jobs involved in the production processes as well as a partitioning of the time horizon of the production into a set of time slots, whose associated non-negative cost become part of the objective to be optimized. In this article, we review the flourishing literature on job scheduling in presence of TOU-based energy tariffs, with the view to provide researchers and practitioners with a framework that may guide them towards the most important theoretical results on the topic as well as the most prominent practical applications in sustainable manufacturing.

Suggested Citation

  • Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2021. "Job Scheduling under Time-of-Use Energy Tariffs for Sustainable Manufacturing: A Survey," LIDAM Discussion Papers CORE 2021019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2021019
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    References listed on IDEAS

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    Keywords

    Combinatorial Optimization ; Energy Efficient Scheduling ; Time-of-Use Tariffs ; Sustainable Manufacturing;
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