Design an intelligent model for suppliers productivity evaluation in sustainable supply chain
Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. Then, to measure the productivity in the presence of environ...
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| Format: | Article |
| Language: | fas |
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Ayandegan Institute of Higher Education, Tonekabon,
2023-11-01
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| Series: | تصمیم گیری و تحقیق در عملیات |
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| Online Access: | https://www.journal-dmor.ir/article_173108_fa8f4b5b71a109583cd4b59affb8c227.pdf |
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| _version_ | 1832577847865114624 |
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| author | Majid Yarahmadi Saeedeh Sakiniya |
| author_facet | Majid Yarahmadi Saeedeh Sakiniya |
| author_sort | Majid Yarahmadi |
| collection | DOAJ |
| description | Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. Then, to measure the productivity in the presence of environmental uncertainty via different -levels, a genetic algorithm is implemented to find an optimal -cutting. Finally, an intelligent DEA model for ranking the supplier companies via optimal value is designed.Findings: This paper presents a new fuzzy DEA model based on a Genetic Algorithm for evaluating the productivity of suppliers in a sustainable supply chain.Originality/Value: In the proposed method, since the -cut obtained from the Genetic Algorithm is optimal, there is no longer a need to calculate the efficiency for different α-cuts through trial and error. Therefore, the proposed method's advantage is that it offers a more sustainable ranking in addition to increasing productivity for each supplier. The example presented in this article demonstrates the method's superiority and advantages. |
| format | Article |
| id | doaj-art-e840b9e7b74b460da915d41da39e3aa0 |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2023-11-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-e840b9e7b74b460da915d41da39e3aa02025-01-30T15:03:34ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592023-11-018495497410.22105/dmor.2023.363504.1670173108Design an intelligent model for suppliers productivity evaluation in sustainable supply chainMajid Yarahmadi0Saeedeh Sakiniya1Department of Mathematics and Computer Sciences, Faculty of Base Sciences, Lorestan University, Khorramabad, Iran.Department of Mathematics and Computer Sciences, Faculty of Base Sciences, Lorestan University, Khorramabad, Iran.Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. Then, to measure the productivity in the presence of environmental uncertainty via different -levels, a genetic algorithm is implemented to find an optimal -cutting. Finally, an intelligent DEA model for ranking the supplier companies via optimal value is designed.Findings: This paper presents a new fuzzy DEA model based on a Genetic Algorithm for evaluating the productivity of suppliers in a sustainable supply chain.Originality/Value: In the proposed method, since the -cut obtained from the Genetic Algorithm is optimal, there is no longer a need to calculate the efficiency for different α-cuts through trial and error. Therefore, the proposed method's advantage is that it offers a more sustainable ranking in addition to increasing productivity for each supplier. The example presented in this article demonstrates the method's superiority and advantages.https://www.journal-dmor.ir/article_173108_fa8f4b5b71a109583cd4b59affb8c227.pdfdata envelopment analysisgenetic algorithmintegrated enhanced russell measure modelsupply chain managementsustainable supplier selection |
| spellingShingle | Majid Yarahmadi Saeedeh Sakiniya Design an intelligent model for suppliers productivity evaluation in sustainable supply chain تصمیم گیری و تحقیق در عملیات data envelopment analysis genetic algorithm integrated enhanced russell measure model supply chain management sustainable supplier selection |
| title | Design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| title_full | Design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| title_fullStr | Design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| title_full_unstemmed | Design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| title_short | Design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| title_sort | design an intelligent model for suppliers productivity evaluation in sustainable supply chain |
| topic | data envelopment analysis genetic algorithm integrated enhanced russell measure model supply chain management sustainable supplier selection |
| url | https://www.journal-dmor.ir/article_173108_fa8f4b5b71a109583cd4b59affb8c227.pdf |
| work_keys_str_mv | AT majidyarahmadi designanintelligentmodelforsuppliersproductivityevaluationinsustainablesupplychain AT saeedehsakiniya designanintelligentmodelforsuppliersproductivityevaluationinsustainablesupplychain |