A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park
Chufeng He,
Aijun Liu,
Lei Xu,
Shuailei Yuan,
Mingbao Cheng,
Huan Wang,
Fang Wang,
Hui Lu and
Xiaoxue Liu
Additional contact information
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
Energies, 2022, vol. 15, issue 24, 1-23
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.
Keywords: manufacturing industrial park-site selection; optimization model; interval intuitionistic fuzzy sets; fuzzy TOPSIS; fuzzy VIKOR (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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