A The Evaluation of Knowledge Management in Supply Chain Using EFQM Framework, Fuzzy Multi-Attribute Decision Making and Multi-Objective Programming
One Knowledge Management (KM) as one of the Supply Chain performanceimprovement factors can be strengthened through frameworks like EFQM ExcellenceModel in order to achieve competitive advantage. First, the KM enablers in SC areclassified based on EFQM enabler criteria. Then, the importance of each...
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Allameh Tabataba'i University Press
2021-03-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
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| Online Access: | https://jims.atu.ac.ir/article_12575_08d95b9da31a281d5a7378d9fdfb7c1f.pdf |
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| author | S.jamal’aldin Hosseini Jalal Rezaeenour mohammad masoumi Amir Hosein Akbari |
| author_facet | S.jamal’aldin Hosseini Jalal Rezaeenour mohammad masoumi Amir Hosein Akbari |
| author_sort | S.jamal’aldin Hosseini |
| collection | DOAJ |
| description | One Knowledge Management (KM) as one of the Supply Chain performanceimprovement factors can be strengthened through frameworks like EFQM ExcellenceModel in order to achieve competitive advantage. First, the KM enablers in SC areclassified based on EFQM enabler criteria. Then, the importance of each KM enabler isevaluated by fuzzy DEMATEL-ANP. In addition, Analytical Hierarchy Process (AHP) isapplied to evaluate the importance of each KM enabler in knowledge sharing amongsupply chain people. In the research, the multi-objective mixed integer programming isused to optimize knowledge management and select KM strategy in each part of SC.Likewise, it is approved to select suitable members of SC for Research and Development(R&D) unit of SC. Results show that each part of SC should focus on developing someKM enablers, and selection of a suitable strategy. These results also emphasis theeffectiveness of each KM enabler and their development in selecting of suitable membersfor R&D unit of SC. |
| first_indexed | 2024-03-08T17:21:08Z |
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| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:21:08Z |
| publishDate | 2021-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-c4c37809fe5a47a89890f4ad0ac8d9092024-01-03T04:46:05ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2021-03-01196019323510.22054/jims.2021.40704.228912575A The Evaluation of Knowledge Management in Supply Chain Using EFQM Framework, Fuzzy Multi-Attribute Decision Making and Multi-Objective ProgrammingS.jamal’aldin Hosseini0Jalal Rezaeenour1mohammad masoumi2Amir Hosein Akbari3Assistance professor, faculty of Industrial engineering, university of Qom, Qom, IranHead of ICT Center, University of Qom, Dean of Department of Industrial Engineering, University of QomMSc of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, IranMSc of Information Technology Engineering, Faculty of Technology and Engineering, University of ،Tehran, Tehran, IranOne Knowledge Management (KM) as one of the Supply Chain performanceimprovement factors can be strengthened through frameworks like EFQM ExcellenceModel in order to achieve competitive advantage. First, the KM enablers in SC areclassified based on EFQM enabler criteria. Then, the importance of each KM enabler isevaluated by fuzzy DEMATEL-ANP. In addition, Analytical Hierarchy Process (AHP) isapplied to evaluate the importance of each KM enabler in knowledge sharing amongsupply chain people. In the research, the multi-objective mixed integer programming isused to optimize knowledge management and select KM strategy in each part of SC.Likewise, it is approved to select suitable members of SC for Research and Development(R&D) unit of SC. Results show that each part of SC should focus on developing someKM enablers, and selection of a suitable strategy. These results also emphasis theeffectiveness of each KM enabler and their development in selecting of suitable membersfor R&D unit of SC.https://jims.atu.ac.ir/article_12575_08d95b9da31a281d5a7378d9fdfb7c1f.pdfkeywords: knowledge managementsupply chainefqmfuzzy multiattribute decision making (fmadm)multi-objective programming |
| spellingShingle | S.jamal’aldin Hosseini Jalal Rezaeenour mohammad masoumi Amir Hosein Akbari A The Evaluation of Knowledge Management in Supply Chain Using EFQM Framework, Fuzzy Multi-Attribute Decision Making and Multi-Objective Programming Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī keywords: knowledge management supply chain efqm fuzzy multiattribute decision making (fmadm) multi-objective programming |
| title | A The Evaluation of Knowledge Management in Supply
Chain Using EFQM Framework, Fuzzy Multi-Attribute
Decision Making and Multi-Objective Programming |
| title_full | A The Evaluation of Knowledge Management in Supply
Chain Using EFQM Framework, Fuzzy Multi-Attribute
Decision Making and Multi-Objective Programming |
| title_fullStr | A The Evaluation of Knowledge Management in Supply
Chain Using EFQM Framework, Fuzzy Multi-Attribute
Decision Making and Multi-Objective Programming |
| title_full_unstemmed | A The Evaluation of Knowledge Management in Supply
Chain Using EFQM Framework, Fuzzy Multi-Attribute
Decision Making and Multi-Objective Programming |
| title_short | A The Evaluation of Knowledge Management in Supply
Chain Using EFQM Framework, Fuzzy Multi-Attribute
Decision Making and Multi-Objective Programming |
| title_sort | the evaluation of knowledge management in supply chain using efqm framework fuzzy multi attribute decision making and multi objective programming |
| topic | keywords: knowledge management supply chain efqm fuzzy multiattribute decision making (fmadm) multi-objective programming |
| url | https://jims.atu.ac.ir/article_12575_08d95b9da31a281d5a7378d9fdfb7c1f.pdf |
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