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Energy-aware feedback control for production scheduling and capacity control

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  • Seokgi Lee
  • Vittaldas V. Prabhu

Abstract

In this paper, we propose an energy-aware feedback control model for production scheduling and capacity control. Specifically, we integrate functions of production scheduling and capacity control, taking into account the costs of energy consumption and machine maintenance varied by production capacity, and the penalty cost imposed by just-in-time production requirements. Continuous control variables are used to adjust the system and the resulting dynamics are modelled. Computational experiments show that interrelated dynamics among these three performance factors are well explained by the proposed controllers, and considerably better energy performance, about 20.0--40.0% improvement, in an energy-aware production compared to a conventional strategy.

Suggested Citation

  • Seokgi Lee & Vittaldas V. Prabhu, 2015. "Energy-aware feedback control for production scheduling and capacity control," International Journal of Production Research, Taylor & Francis Journals, vol. 53(23), pages 7158-7170, December.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:23:p:7158-7170
    DOI: 10.1080/00207543.2015.1082666
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    Cited by:

    1. Iqra Asghar & Biswajit Sarkar & Sung-jun Kim, 2019. "Economic Analysis of an Integrated Production–Inventory System under Stochastic Production Capacity and Energy Consumption," Energies, MDPI, vol. 12(16), pages 1-27, August.
    2. Syed Mir Muhammad Shah & Umair Ahmed & Abdussalaam Iyanda Ismail & Soleman Mozammel, 2021. "Going Intellectually Green: Exploring the Nexus between Green Intellectual Capital, Environmental Responsibility, and Environmental Concern towards Environmental Performance," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    3. Gert van Wyk & Vinessa Naidoo & E. Innocents Edoun, 2021. "Guiding Principles for Establishing Energy Consumption Reduction and Increase Production Performance in Manufacturing," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 502-515.

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