A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park
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, determin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/24/9346 |
| _version_ | 1827640283618082816 |
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| author | Chufeng He Aijun Liu Lei Xu Shuailei Yuan Mingbao Cheng Huan Wang Fang Wang Hui Lu Xiaoxue Liu |
| author_facet | Chufeng He Aijun Liu Lei Xu Shuailei Yuan Mingbao Cheng Huan Wang Fang Wang Hui Lu Xiaoxue Liu |
| author_sort | Chufeng He |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T16:55:42Z |
| format | Article |
| id | doaj.art-5b40b4e218f94318b3cb70e1f7845a40 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T16:55:42Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5b40b4e218f94318b3cb70e1f7845a402023-11-24T14:35:15ZengMDPI AGEnergies1996-10732022-12-011524934610.3390/en15249346A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial ParkChufeng He0Aijun Liu1Lei Xu2Shuailei Yuan3Mingbao Cheng4Huan Wang5Fang Wang6Hui Lu7Xiaoxue Liu8School of Economics and Management, Xidian University, Xi’an 710126, ChinaSchool of Economics and Management, Xidian University, Xi’an 710126, ChinaEconomics and Management College, Civil Aviation University of China, Tianjin 300300, ChinaSchool of Economics and Management, Xidian University, Xi’an 710126, ChinaBusiness School, Nanjing University of Information Science & Technology, Nanjing 200444, ChinaSchool of Economics and Management, Xidian University, Xi’an 710126, ChinaSchool of Economics and Management, Xidian University, Xi’an 710126, ChinaTianhua College, Shanghai Normal University, Shanghai 201815, ChinaGuangzhou Basto Glasses Co., Ltd., Guangzhou 510800, ChinaWith 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.https://www.mdpi.com/1996-1073/15/24/9346manufacturing industrial park-site selectionoptimization modelinterval intuitionistic fuzzy setsfuzzy TOPSISfuzzy VIKOR |
| spellingShingle | Chufeng He Aijun Liu Lei Xu Shuailei Yuan Mingbao Cheng Huan Wang Fang Wang Hui Lu Xiaoxue Liu A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park Energies manufacturing industrial park-site selection optimization model interval intuitionistic fuzzy sets fuzzy TOPSIS fuzzy VIKOR |
| title | A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park |
| title_full | A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park |
| title_fullStr | A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park |
| title_full_unstemmed | A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park |
| title_short | A Combined Fuzzy Optimization Model for the Location of an Intelligent Energy-Efficient Manufacturing Industrial Park |
| title_sort | combined fuzzy optimization model for the location of an intelligent energy efficient manufacturing industrial park |
| topic | manufacturing industrial park-site selection optimization model interval intuitionistic fuzzy sets fuzzy TOPSIS fuzzy VIKOR |
| url | https://www.mdpi.com/1996-1073/15/24/9346 |
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