A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers
In light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/12/12/1070 |
| _version_ | 1797382055075512320 |
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| author | Alptekin Ulutaş Senevi Kiridena Nagesh Shukla Ayse Topal |
| author_facet | Alptekin Ulutaş Senevi Kiridena Nagesh Shukla Ayse Topal |
| author_sort | Alptekin Ulutaş |
| collection | DOAJ |
| description | In light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES) is a major strategic decision area where the impact of uncertainty and risk can be more proactively dealt with. A review of extant literature reveals that there is a strong need for developing practitioner-oriented and more comprehensive frameworks and models to mitigate both the capability- and performance-related risks, in the context of SES decisions. This paper presents an integrated model to support SES decisions involving quantity discounts and multiple planning periods under stochastic conditions. The proposed model employs the Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Evaluation Based on Distance from Average Solution EDAS (EDAS-F), and fuzzy stochastic goal programming (FSGP) to effectively address the above requirements. A case study from a garment manufacturing industry is used to demonstrate the efficacy of the proposed model. The findings of the study provide confirmation that the suggested FSIM has the ability to provide substantial advantages in the context of making choices related to quantity discounts in SES. The proposed FSIM model incorporates the use of FAHP and EDAS-F techniques to effectively reduce the number of suppliers to a manageable level, taking into consideration capability-based risks. Additionally, fuzzy stochastic goal programming (FSGP) is employed to mitigate performance-based risks, enabling the selection of suppliers and the allocation of orders among them. The paper contributes to the literature by proposing a comprehensive framework to solve the SES problem, considering certain practical situations faced by organizations. |
| first_indexed | 2024-03-08T21:00:53Z |
| format | Article |
| id | doaj.art-adcdaf61f8714424baa868166ed07f15 |
| institution | Directory Open Access Journal |
| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-08T21:00:53Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj.art-adcdaf61f8714424baa868166ed07f152023-12-22T13:53:09ZengMDPI AGAxioms2075-16802023-11-011212107010.3390/axioms12121070A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of SuppliersAlptekin Ulutaş0Senevi Kiridena1Nagesh Shukla2Ayse Topal3International Trade and Business Department, Inonu University, Malatya 44000, TurkeySchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522, AustraliaBusiness Strategy and Innovation Department, Griffith University, Brisbane 4111, AustraliaBusiness Administration Department, Nigde Omer Halisdemir University, Nigde 51240, TurkeyIn light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a growing need for the inclusion of uncertainty and risk factors in the realm of supply chain planning. Supplier evaluation and selection (SES) is a major strategic decision area where the impact of uncertainty and risk can be more proactively dealt with. A review of extant literature reveals that there is a strong need for developing practitioner-oriented and more comprehensive frameworks and models to mitigate both the capability- and performance-related risks, in the context of SES decisions. This paper presents an integrated model to support SES decisions involving quantity discounts and multiple planning periods under stochastic conditions. The proposed model employs the Fuzzy Analytical Hierarchy Process (FAHP), Fuzzy Evaluation Based on Distance from Average Solution EDAS (EDAS-F), and fuzzy stochastic goal programming (FSGP) to effectively address the above requirements. A case study from a garment manufacturing industry is used to demonstrate the efficacy of the proposed model. The findings of the study provide confirmation that the suggested FSIM has the ability to provide substantial advantages in the context of making choices related to quantity discounts in SES. The proposed FSIM model incorporates the use of FAHP and EDAS-F techniques to effectively reduce the number of suppliers to a manageable level, taking into consideration capability-based risks. Additionally, fuzzy stochastic goal programming (FSGP) is employed to mitigate performance-based risks, enabling the selection of suppliers and the allocation of orders among them. The paper contributes to the literature by proposing a comprehensive framework to solve the SES problem, considering certain practical situations faced by organizations.https://www.mdpi.com/2075-1680/12/12/1070fuzzy methodsgoal programmingstochastic programmingsupplier evaluation and selectionuncertainty and risks |
| spellingShingle | Alptekin Ulutaş Senevi Kiridena Nagesh Shukla Ayse Topal A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers Axioms fuzzy methods goal programming stochastic programming supplier evaluation and selection uncertainty and risks |
| title | A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers |
| title_full | A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers |
| title_fullStr | A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers |
| title_full_unstemmed | A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers |
| title_short | A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers |
| title_sort | new fuzzy stochastic integrated model for evaluation and selection of suppliers |
| topic | fuzzy methods goal programming stochastic programming supplier evaluation and selection uncertainty and risks |
| url | https://www.mdpi.com/2075-1680/12/12/1070 |
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