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A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park

Author

Listed:
  • Chufeng He

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Aijun Liu

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Lei Xu

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Shuailei Yuan

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Mingbao Cheng

    (Business School, Nanjing University of Information Science & Technology, Nanjing 200444, China)

  • Huan Wang

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Fang Wang

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Hui Lu

    (Tianhua College, Shanghai Normal University, Shanghai 201815, China)

  • Xiaoxue Liu

    (Guangzhou Basto Glasses Co., Ltd., Guangzhou 510800, China)

Abstract

With the background of implementing carbon peaking and carbon neutralization, identifying methods to realize energy-saving and carbon reduction effectively has become an important issue in the intelligent energy-conservation manufacturing industry. During the process of achieving this goal, determining an optimal location for a low-carbon and intelligent manufacturing industrial park is a foremost decision-making problem for manufacturing corporations’ energy-efficient development. The article established a multi-criteria decision framework to assist manufacturing companies when selecting suitable industrial park sites. To begin with, an evaluation criteria framework is confirmed by literature search. Then, a fuzzy optimization model, which combines the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is presented, where fuzzy TOPSIS is used to determine the decision-maker criteria weights. Then, criteria weights are calculated by the optimization model with construction of a Lagrange function. Moreover, the fuzzy VIKOR method is applied to sort alternatives and choose the best alternative location. In addition, five alternative sites for a manufacturing company are evaluated and ranked according to the values of the ranking index as a numerical case to demonstrate the proposed framework’s application. Finally, a comprehensive analysis of diverse methods and sensitivity analyses for the volatility in criteria weights and decision-maker weights is illustrated to confirm that the framework is practicable for the problem of intelligent and sustainable manufacturing industrial park-site selection.

Suggested Citation

  • Chufeng He & Aijun Liu & Lei Xu & Shuailei Yuan & Mingbao Cheng & Huan Wang & Fang Wang & Hui Lu & Xiaoxue Liu, 2022. "A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park," Energies, MDPI, vol. 15(24), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9346-:d:998990
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    References listed on IDEAS

    as
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