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A Feedback Control Method for Addressing the Production Scheduling Problem by Considering Energy Consumption and Makespan

Author

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  • Jingjing Xu

    (Faculty of Economics and Management, East China Normal University, Shanghai 200241, China)

  • Lei Wang

    (Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Due to various factors of uncertainty within production, the key performance indicators connected to production plans are difficult to fulfil. This problem becomes especially serious as emission regulations are enforced, which discourage manufacturers from high emission output and high energy consumption. Thus, this paper proposes a feedback control method for the production scheduling problem by considering energy consumption and makespan to help manufacturers keep production implementations in pace with production plans. The proposed method works in a rolling horizon framework, which establishes planned energy consumption and makespan, and adjusts the weights of the multiple scheduling optimization objectives for the next period, based on the feedback of the actual energy consumption and makespan in previous periods. A job shop scheduling case study is provided to illustrate the proposed method. The experiment results demonstrate the effectiveness of the proposed feedback control method.

Suggested Citation

  • Jingjing Xu & Lei Wang, 2017. "A Feedback Control Method for Addressing the Production Scheduling Problem by Considering Energy Consumption and Makespan," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1185-:d:103899
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. João M. R. C. Fernandes & Seyed Mahdi Homayouni & Dalila B. M. M. Fontes, 2022. "Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-34, May.
    2. Xiao Wang & Mei Liu & Peisi Zhong & Chao Zhang & Dawei Zhang, 2023. "A Discrete Cooperative Control Method for Production Scheduling Problem of Assembly Manufacturing System," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    3. Wenzhu Liao & Tong Wang, 2019. "A Novel Collaborative Optimization Model for Job Shop Production–Delivery Considering Time Window and Carbon Emission," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    4. Jin Huang & Liangliang Jin & Chaoyong Zhang, 2017. "Mathematical Modeling and a Hybrid NSGA-II Algorithm for Process Planning Problem Considering Machining Cost and Carbon Emission," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    5. Jun Hyeok Kang & Jinil Han, 2019. "Optimizing the Operation of Animal Shelters to Minimize Unnecessary Euthanasia: A Case Study in the Seoul Capital Area," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    6. Hajo Terbrack & Thorsten Claus & Frank Herrmann, 2021. "Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme," Sustainability, MDPI, vol. 13(23), pages 1-32, December.

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