A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry
The location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy techn...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/470128 |
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| _version_ | 1832563966936612864 |
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| author | Kou-Huang Chen Chin-Nung Liao Li-Chun Wu |
| author_facet | Kou-Huang Chen Chin-Nung Liao Li-Chun Wu |
| author_sort | Kou-Huang Chen |
| collection | DOAJ |
| description | The location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and multichoice goal programming (MCGP) to obtain an appropriate logistics center from many alternative locations for airline industry. The proposed method in this paper will offer the decision makers (DMs) to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented. |
| format | Article |
| id | doaj-art-23c36839e3b74cae939e7a4714405bae |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-23c36839e3b74cae939e7a4714405bae2025-02-03T01:12:09ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/470128470128A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline IndustryKou-Huang Chen0Chin-Nung Liao1Li-Chun Wu2Department of Industrial Engineering and Management, China University of Science and Technology, Taipei 115, TaiwanDepartment of Business Administration, China University of Science and Technology, Taipei 115, TaiwanDepartment of Industrial Engineering and Management, China University of Science and Technology, Taipei 115, TaiwanThe location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and multichoice goal programming (MCGP) to obtain an appropriate logistics center from many alternative locations for airline industry. The proposed method in this paper will offer the decision makers (DMs) to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.http://dx.doi.org/10.1155/2014/470128 |
| spellingShingle | Kou-Huang Chen Chin-Nung Liao Li-Chun Wu A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry Journal of Applied Mathematics |
| title | A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry |
| title_full | A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry |
| title_fullStr | A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry |
| title_full_unstemmed | A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry |
| title_short | A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry |
| title_sort | selection model to logistic centers based on topsis and mcgp methods the case of airline industry |
| url | http://dx.doi.org/10.1155/2014/470128 |
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