Supplier selection models using fuzzy hybrid methods in the clothing textile industry
Application of models for supplier assessment and selection in the clothing industry remains relatively underexplored. To fill this gap, this research study introduces the following fuzzy hybrid models for evaluating and selecting suppliers for clothing manufacturing firms: fuzzy set theory, Analyti...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-12-01
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| Series: | AUTEX Research Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/aut-2024-0026 |
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| _version_ | 1841556481357381632 |
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| author | Lahdhiri Mourad Jmali Mohamed Babay Amel Ahlaqqach Mustapha Hlyal Mustapha |
| author_facet | Lahdhiri Mourad Jmali Mohamed Babay Amel Ahlaqqach Mustapha Hlyal Mustapha |
| author_sort | Lahdhiri Mourad |
| collection | DOAJ |
| description | Application of models for supplier assessment and selection in the clothing industry remains relatively underexplored. To fill this gap, this research study introduces the following fuzzy hybrid models for evaluating and selecting suppliers for clothing manufacturing firms: fuzzy set theory, Analytic Hierarchy Process method–fuzzy-Technique for Order of Preference by Similarity to Ideal Solution (AHP–fuzzy-TOPSIS), AHP–fuzzy-Weighted Sum Model (WSM), and AHP–fuzzy-Weighted Product Mean (WPM). Criteria weights were established utilizing these models, which were applied to identify the optimal supplier. A practical study was conducted within a clothing firm to evaluate the effectiveness of these fuzzy hybrid models. The main results reveal that the AHP–fuzzy-TOPSIS model outperforms the AHP–fuzzy-WSM and AHP–fuzzy-WPM models in selecting the optimal alternative. Indeed, this approach has the potential to be adapted to different industrial sectors, considering the specific criteria and conditions that govern their supplying processes. |
| format | Article |
| id | doaj-art-2ad380157eae416b8b5ae50322578ac0 |
| institution | Kabale University |
| issn | 2300-0929 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | AUTEX Research Journal |
| spelling | doaj-art-2ad380157eae416b8b5ae50322578ac02025-01-07T07:55:29ZengDe GruyterAUTEX Research Journal2300-09292024-12-0124115817710.1515/aut-2024-0026Supplier selection models using fuzzy hybrid methods in the clothing textile industryLahdhiri Mourad0Jmali Mohamed1Babay Amel2Ahlaqqach Mustapha3Hlyal Mustapha4Textile Engineering Laboratory (LGTex), Monastir University, LR11ES42, 5070, Ksar Helllal, TunisiaTextile Engineering Laboratory (LGTex), Monastir University, LR11ES42, 5070, Ksar Helllal, TunisiaTextile Engineering Laboratory (LGTex), Monastir University, LR11ES42, 5070, Ksar Helllal, TunisiaCenter of Excellence in Logistics (CELOG), School of Textile and Clothing (ESITH), Casablanca, MoroccoCenter of Excellence in Logistics (CELOG), School of Textile and Clothing (ESITH), Casablanca, MoroccoApplication of models for supplier assessment and selection in the clothing industry remains relatively underexplored. To fill this gap, this research study introduces the following fuzzy hybrid models for evaluating and selecting suppliers for clothing manufacturing firms: fuzzy set theory, Analytic Hierarchy Process method–fuzzy-Technique for Order of Preference by Similarity to Ideal Solution (AHP–fuzzy-TOPSIS), AHP–fuzzy-Weighted Sum Model (WSM), and AHP–fuzzy-Weighted Product Mean (WPM). Criteria weights were established utilizing these models, which were applied to identify the optimal supplier. A practical study was conducted within a clothing firm to evaluate the effectiveness of these fuzzy hybrid models. The main results reveal that the AHP–fuzzy-TOPSIS model outperforms the AHP–fuzzy-WSM and AHP–fuzzy-WPM models in selecting the optimal alternative. Indeed, this approach has the potential to be adapted to different industrial sectors, considering the specific criteria and conditions that govern their supplying processes.https://doi.org/10.1515/aut-2024-0026ahp–fuzzy-topsisahp–fuzzy-wpmahp–fuzzy-wsmsupplier selectionsupply chain |
| spellingShingle | Lahdhiri Mourad Jmali Mohamed Babay Amel Ahlaqqach Mustapha Hlyal Mustapha Supplier selection models using fuzzy hybrid methods in the clothing textile industry AUTEX Research Journal ahp–fuzzy-topsis ahp–fuzzy-wpm ahp–fuzzy-wsm supplier selection supply chain |
| title | Supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| title_full | Supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| title_fullStr | Supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| title_full_unstemmed | Supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| title_short | Supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| title_sort | supplier selection models using fuzzy hybrid methods in the clothing textile industry |
| topic | ahp–fuzzy-topsis ahp–fuzzy-wpm ahp–fuzzy-wsm supplier selection supply chain |
| url | https://doi.org/10.1515/aut-2024-0026 |
| work_keys_str_mv | AT lahdhirimourad supplierselectionmodelsusingfuzzyhybridmethodsintheclothingtextileindustry AT jmalimohamed supplierselectionmodelsusingfuzzyhybridmethodsintheclothingtextileindustry AT babayamel supplierselectionmodelsusingfuzzyhybridmethodsintheclothingtextileindustry AT ahlaqqachmustapha supplierselectionmodelsusingfuzzyhybridmethodsintheclothingtextileindustry AT hlyalmustapha supplierselectionmodelsusingfuzzyhybridmethodsintheclothingtextileindustry |