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Energy-Efficient Production Planning Using a Two-Stage Fuzzy Approach

Author

Listed:
  • Hsin-Chieh Wu

    (Department of Industrial Engineering and Management, College of Science and Engineering, Chaoyang University of Science and Technology, Taichung 413310, Taiwan)

  • Horng-Ren Tsai

    (Department of Information Technology, Lingtung University, Taichung 408213, Taiwan)

  • Tin-Chih Toly Chen

    (Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan)

  • Keng-Wei Hsu

    (Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan)

Abstract

Analyzing energy consumption is an important task for a factory. In order to accomplish this task, most studies fit the relationship between energy consumption and product design features, process characteristics, or equipment types. However, the energy-saving effects of product yield learning are rarely considered. To bridge this gap, this study proposes a two-stage fuzzy approach to estimate the energy savings brought about by yield improvement. In the two-stage fuzzy approach, a fuzzy polynomial programming approach is first utilized to fit the yield-learning process of a product. Then, the relationship between monthly electricity consumption and increase in yield was fit to estimate the energy savings brought about by the improvement in yield. The actual case of a dynamic random-access memory factory was used to illustrate the applicability of the two-stage fuzzy approach. According to the experiment results, product yield learning can greatly reduce electricity consumption.

Suggested Citation

  • Hsin-Chieh Wu & Horng-Ren Tsai & Tin-Chih Toly Chen & Keng-Wei Hsu, 2021. "Energy-Efficient Production Planning Using a Two-Stage Fuzzy Approach," Mathematics, MDPI, vol. 9(10), pages 1-17, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:10:p:1101-:d:553836
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    References listed on IDEAS

    as
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