A Fuzzy TOPSIS Model to Rank Automotive Suppliers
This paper highlights the most significant criteria and sub-criteria in automotive industries for selecting the best supplier from the previous paper. Supplier selection process is one of the key activities of management in a supply chain environment. This paper presents another methodology to selec...
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11115/ http://umpir.ump.edu.my/id/eprint/11115/1/A%20Fuzzy%20TOPSIS%20Model%20to%20Rank%20Automotive%20Suppliers.pdf |
| _version_ | 1848818928042639360 |
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| author | Amir, Azizi Aikhuele, Daniel O. Souleman, Fathi S. |
| author_facet | Amir, Azizi Aikhuele, Daniel O. Souleman, Fathi S. |
| author_sort | Amir, Azizi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper highlights the most significant criteria and sub-criteria in automotive industries for selecting the best supplier from the previous paper. Supplier selection process is one of the key activities of management in a supply chain environment. This paper presents another methodology to select the most suitable supplier in a supply chain system using Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS). Triangular Fuzzy set is applied into the proposed model to handle the vagueness. The interdependencies between criteria are considered. In our FTOPSIS model, the results show that FTOPSIS is remarkably successful in determining the best supplier with stability in the ranking as it relates to the different criteria weights and multiple sub-criteria. The proposed methodology presents a comprehensive multi-criteria approach to find the best ranking among the alternative suppliers. The result shows that supplier A is the best supplier with the Closeness Coefficient of 0.5407. The FTOPSIS model proposed can be apply on other vague multiple criteria decision making problem since it shows good result in the research. Future research may expand the work to another field of study or in a different type of industry.
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| first_indexed | 2025-11-15T01:45:27Z |
| format | Article |
| id | ump-11115 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:45:27Z |
| publishDate | 2015 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-111152018-02-23T02:35:27Z http://umpir.ump.edu.my/id/eprint/11115/ A Fuzzy TOPSIS Model to Rank Automotive Suppliers Amir, Azizi Aikhuele, Daniel O. Souleman, Fathi S. TS Manufactures This paper highlights the most significant criteria and sub-criteria in automotive industries for selecting the best supplier from the previous paper. Supplier selection process is one of the key activities of management in a supply chain environment. This paper presents another methodology to select the most suitable supplier in a supply chain system using Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS). Triangular Fuzzy set is applied into the proposed model to handle the vagueness. The interdependencies between criteria are considered. In our FTOPSIS model, the results show that FTOPSIS is remarkably successful in determining the best supplier with stability in the ranking as it relates to the different criteria weights and multiple sub-criteria. The proposed methodology presents a comprehensive multi-criteria approach to find the best ranking among the alternative suppliers. The result shows that supplier A is the best supplier with the Closeness Coefficient of 0.5407. The FTOPSIS model proposed can be apply on other vague multiple criteria decision making problem since it shows good result in the research. Future research may expand the work to another field of study or in a different type of industry. Elsevier Ltd 2015 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/11115/1/A%20Fuzzy%20TOPSIS%20Model%20to%20Rank%20Automotive%20Suppliers.pdf Amir, Azizi and Aikhuele, Daniel O. and Souleman, Fathi S. (2015) A Fuzzy TOPSIS Model to Rank Automotive Suppliers. Procedia Manufacturing, 2. pp. 159-164. ISSN 2351-9789. (Published) http://dx.doi.org/10.1016/j.promfg.2015.07.028 doi:10.1016/j.promfg.2015.07.028 |
| spellingShingle | TS Manufactures Amir, Azizi Aikhuele, Daniel O. Souleman, Fathi S. A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title | A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title_full | A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title_fullStr | A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title_full_unstemmed | A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title_short | A Fuzzy TOPSIS Model to Rank Automotive Suppliers |
| title_sort | fuzzy topsis model to rank automotive suppliers |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/11115/ http://umpir.ump.edu.my/id/eprint/11115/ http://umpir.ump.edu.my/id/eprint/11115/ http://umpir.ump.edu.my/id/eprint/11115/1/A%20Fuzzy%20TOPSIS%20Model%20to%20Rank%20Automotive%20Suppliers.pdf |