A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem
Selecting the most resilient supplier is a crucial problem for organizations and managers in the supply chain. However, due to the inherited high degree of uncertainty in real-life projects, developing a decision-making framework in a crisp or fuzzy environment may not present accurate or reliable r...
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MDPI AG
2021-12-01
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| Series: | Mathematics |
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| author | Seyed Amirali Hoseini Sarfaraz Hashemkhani Zolfani Paulius Skačkauskas Alireza Fallahpour Sara Saberi |
| author_facet | Seyed Amirali Hoseini Sarfaraz Hashemkhani Zolfani Paulius Skačkauskas Alireza Fallahpour Sara Saberi |
| author_sort | Seyed Amirali Hoseini |
| collection | DOAJ |
| description | Selecting the most resilient supplier is a crucial problem for organizations and managers in the supply chain. However, due to the inherited high degree of uncertainty in real-life projects, developing a decision-making framework in a crisp or fuzzy environment may not present accurate or reliable results for the managers. For this reason, it is better to evaluate the potential suppliers in an Interval Type-2 Fuzzy (IT2F) environment for better dealing with this ambiguity. This study developed an improved combined IT2F Best Worst Method (BWM) and IT2F technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model “Atieh Sazan” Co. as a case study, such that the IT2FBWM was employed for obtaining the weight of criteria. The IT2FTOPSIS was utilized for ranking the potential suppliers based on Hamming distance measure. In both phases, the opinions of experts as IT2F linguistic terms were employed for weighting the criteria and obtaining the relative importance of the alternatives in terms of the evaluative criteria. After obtaining the final results, the proposed model was validated by replacing Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) approaches separately instead of BWM for weighting the criteria. After executing both new models, it was found that the final ranking was similar to the final ranking of the proposed model, representing the reliability and accuracy of the obtained results. Moreover, it was concluded that the resilient criteria of “Reorganization” and “Redundancy” are the most determinant measures for selecting the best supplier rather than measures in the Iranian Construction Industry. |
| first_indexed | 2024-03-10T03:32:38Z |
| format | Article |
| id | doaj.art-38d52613138c432b8f5e7d5a645a3b6a |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T03:32:38Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-38d52613138c432b8f5e7d5a645a3b6a2023-11-23T11:53:16ZengMDPI AGMathematics2227-73902021-12-011014410.3390/math10010044A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection ProblemSeyed Amirali Hoseini0Sarfaraz Hashemkhani Zolfani1Paulius Skačkauskas2Alireza Fallahpour3Sara Saberi4Department of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, IranSchool of Engineering, Catholic University of the North, Larrondo 1281, Coquimbo 1240000, ChileDepartment of Mobile Machinery and Railway Transport, Faculty of Transport Engineering, Vilnius Gediminas Technical University, 10105 Vilnius, LithuaniaSchool of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaRobert A. Foisie School of Business, Worcester Polytechnic Institute, Worcester, MA 01609-2280, USASelecting the most resilient supplier is a crucial problem for organizations and managers in the supply chain. However, due to the inherited high degree of uncertainty in real-life projects, developing a decision-making framework in a crisp or fuzzy environment may not present accurate or reliable results for the managers. For this reason, it is better to evaluate the potential suppliers in an Interval Type-2 Fuzzy (IT2F) environment for better dealing with this ambiguity. This study developed an improved combined IT2F Best Worst Method (BWM) and IT2F technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model “Atieh Sazan” Co. as a case study, such that the IT2FBWM was employed for obtaining the weight of criteria. The IT2FTOPSIS was utilized for ranking the potential suppliers based on Hamming distance measure. In both phases, the opinions of experts as IT2F linguistic terms were employed for weighting the criteria and obtaining the relative importance of the alternatives in terms of the evaluative criteria. After obtaining the final results, the proposed model was validated by replacing Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) approaches separately instead of BWM for weighting the criteria. After executing both new models, it was found that the final ranking was similar to the final ranking of the proposed model, representing the reliability and accuracy of the obtained results. Moreover, it was concluded that the resilient criteria of “Reorganization” and “Redundancy” are the most determinant measures for selecting the best supplier rather than measures in the Iranian Construction Industry.https://www.mdpi.com/2227-7390/10/1/44resilient supplier selectioninterval type-2 fuzzy setmultiple criteria decision making (MCDM)BWMTOPSIS |
| spellingShingle | Seyed Amirali Hoseini Sarfaraz Hashemkhani Zolfani Paulius Skačkauskas Alireza Fallahpour Sara Saberi A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem Mathematics resilient supplier selection interval type-2 fuzzy set multiple criteria decision making (MCDM) BWM TOPSIS |
| title | A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem |
| title_full | A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem |
| title_fullStr | A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem |
| title_full_unstemmed | A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem |
| title_short | A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem |
| title_sort | combined interval type 2 fuzzy mcdm framework for the resilient supplier selection problem |
| topic | resilient supplier selection interval type-2 fuzzy set multiple criteria decision making (MCDM) BWM TOPSIS |
| url | https://www.mdpi.com/2227-7390/10/1/44 |
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