Academic Journal

Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive.
Συγγραφείς: Perraudat, Antoine, Dauzère-Pérès, Stéphane, Mason, Scott Jennings
Πηγή: International Journal of Production Research; Oct2022, Vol. 60 Issue 19, p5746-5768, 23p, 3 Diagrams, 11 Charts, 4 Graphs
Θεματικοί όροι: Industrial management, Electric power consumption, Energy management, Stochastic programming, Electric utilities, Electricity pricing
Περίληψη: Motivated by real challenges on energy management faced by industrial firms, we propose a novel way to reduce production costs by including the pricing of electricity in a multi-product lot-sizing problem. In incentive-based programs, when electric utilities face power consumption peaks, they request electricity-consuming firms to curtail their electric load, rewarding the industrial firms with incentives if they comply with the curtailment requests. Otherwise, industrial firms must pay financial penalties for an excessive electricity consumption. A two-stage stochastic formulation is presented to cover the case where a manufacturer wants to satisfy any curtailment request. A chance-constrained formulation is also proposed, and its relevance in practice is discussed. Finally, computational studies are conducted to compare mathematical models and highlight critical parameters and show potential savings when subscribing incentive-based programs. We show that the setup cost ratio, the capacity utilisation rate, the number of products and the timing of curtailment requests are critical parameters for manufacturers. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive.
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  Data: International Journal of Production Research; Oct2022, Vol. 60 Issue 19, p5746-5768, 23p, 3 Diagrams, 11 Charts, 4 Graphs
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  Data: <searchLink fieldCode="DE" term="%22Industrial+management%22">Industrial management</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+utilities%22">Electric utilities</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity+pricing%22">Electricity pricing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Motivated by real challenges on energy management faced by industrial firms, we propose a novel way to reduce production costs by including the pricing of electricity in a multi-product lot-sizing problem. In incentive-based programs, when electric utilities face power consumption peaks, they request electricity-consuming firms to curtail their electric load, rewarding the industrial firms with incentives if they comply with the curtailment requests. Otherwise, industrial firms must pay financial penalties for an excessive electricity consumption. A two-stage stochastic formulation is presented to cover the case where a manufacturer wants to satisfy any curtailment request. A chance-constrained formulation is also proposed, and its relevance in practice is discussed. Finally, computational studies are conducted to compare mathematical models and highlight critical parameters and show potential savings when subscribing incentive-based programs. We show that the setup cost ratio, the capacity utilisation rate, the number of products and the timing of curtailment requests are critical parameters for manufacturers. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00207543.2021.1969048
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 5746
    Subjects:
      – SubjectFull: Industrial management
        Type: general
      – SubjectFull: Electric power consumption
        Type: general
      – SubjectFull: Energy management
        Type: general
      – SubjectFull: Stochastic programming
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      – SubjectFull: Electric utilities
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      – SubjectFull: Electricity pricing
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      – TitleFull: Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive.
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              M: 10
              Text: Oct2022
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              Y: 2022
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