Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry
Supply chain management is an emerging topic in the oil and gas industry. There is higher exposure of contractors to undesirable incidents and supplier selection is a multicriteria decision problem (MCDM). A fuzzy-TOPSIS method was employed in the evaluation of three suppliers regarding four HSE cri...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/6/8/105 |
| _version_ | 1827685101398392832 |
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| author | Assed N. Haddad Bruno B. F. da Costa Larissa S. de Andrade Ahmed Hammad Carlos A. P. Soares |
| author_facet | Assed N. Haddad Bruno B. F. da Costa Larissa S. de Andrade Ahmed Hammad Carlos A. P. Soares |
| author_sort | Assed N. Haddad |
| collection | DOAJ |
| description | Supply chain management is an emerging topic in the oil and gas industry. There is higher exposure of contractors to undesirable incidents and supplier selection is a multicriteria decision problem (MCDM). A fuzzy-TOPSIS method was employed in the evaluation of three suppliers regarding four HSE criteria. This method was applied in a case study of the oil and gas industry involving a contractor bidding process. Results reinforced that fuzzy-TOPSIS is a versatile and suitable method for supplier selection problems, with low computational complexity and promoting a better user experience. This method contributes to greater effectiveness and agility in the selection processes of suppliers regarding HSE management. The fuzzy-TOPSIS model is suitable for supplier selection problems and some of the benefits of applying this method are that it allows the attribution weights according to the level of importance of each criterion and considers the complexity, subjectivity, and uncertainty of the decision process. One has determined that it was essential to have a robust and consistent process for weighting the criteria and defining the most appropriate linguistic variables. |
| first_indexed | 2024-03-10T08:43:16Z |
| format | Article |
| id | doaj.art-c24deeadec03466e8dd0499282a2f98a |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-10T08:43:16Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-c24deeadec03466e8dd0499282a2f98a2023-11-22T08:06:21ZengMDPI AGInfrastructures2412-38112021-07-016810510.3390/infrastructures6080105Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas IndustryAssed N. Haddad0Bruno B. F. da Costa1Larissa S. de Andrade2Ahmed Hammad3Carlos A. P. Soares4Programa de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilInstituto Politécnico, Universidade Federal do Rio de Janeiro, Macaé 27930-560, BrazilPrograma de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, BrazilUNSW Built Environment, University of New South Wales, Sydney 2052, AustraliaDepartamento de Engenharia Civil, Universidade Federal Fluminense, Niterói 24210-240, BrazilSupply chain management is an emerging topic in the oil and gas industry. There is higher exposure of contractors to undesirable incidents and supplier selection is a multicriteria decision problem (MCDM). A fuzzy-TOPSIS method was employed in the evaluation of three suppliers regarding four HSE criteria. This method was applied in a case study of the oil and gas industry involving a contractor bidding process. Results reinforced that fuzzy-TOPSIS is a versatile and suitable method for supplier selection problems, with low computational complexity and promoting a better user experience. This method contributes to greater effectiveness and agility in the selection processes of suppliers regarding HSE management. The fuzzy-TOPSIS model is suitable for supplier selection problems and some of the benefits of applying this method are that it allows the attribution weights according to the level of importance of each criterion and considers the complexity, subjectivity, and uncertainty of the decision process. One has determined that it was essential to have a robust and consistent process for weighting the criteria and defining the most appropriate linguistic variables.https://www.mdpi.com/2412-3811/6/8/105supplier selectionMCDMfuzzy TOPSISHSEfuzzy set theoryoil and gas industry |
| spellingShingle | Assed N. Haddad Bruno B. F. da Costa Larissa S. de Andrade Ahmed Hammad Carlos A. P. Soares Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry Infrastructures supplier selection MCDM fuzzy TOPSIS HSE fuzzy set theory oil and gas industry |
| title | Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry |
| title_full | Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry |
| title_fullStr | Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry |
| title_full_unstemmed | Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry |
| title_short | Application of Fuzzy-TOPSIS Method in Supporting Supplier Selection with Focus on HSE Criteria: A Case Study in the Oil and Gas Industry |
| title_sort | application of fuzzy topsis method in supporting supplier selection with focus on hse criteria a case study in the oil and gas industry |
| topic | supplier selection MCDM fuzzy TOPSIS HSE fuzzy set theory oil and gas industry |
| url | https://www.mdpi.com/2412-3811/6/8/105 |
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