Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering
The purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (...
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| Format: | Article |
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Allameh Tabataba'i University Press
2021-06-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
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| Online Access: | https://jims.atu.ac.ir/article_12890_baa58f20b014f3f34e9125aa2729f44a.pdf |
| _version_ | 1797367674888519680 |
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| author | Mostafa Ziyaei Hajipirlu Houshang Taghizadeh Mortaza Honarmand Azimi |
| author_facet | Mostafa Ziyaei Hajipirlu Houshang Taghizadeh Mortaza Honarmand Azimi |
| author_sort | Mostafa Ziyaei Hajipirlu |
| collection | DOAJ |
| description | The purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (horizontal, vertical, and spatial) of supply chains by considering the functional characteristics of its components based on the resilience paradigm is presented. In this regard, a set of algebraic calculations and computational algorithms have been adapted to evaluate the structural design from the perspective of complex components. In the structural design evaluation model through spectral clustering, it is possible to enter information about supply chains in terms of interactions between components in the form of a network as a comprehensive model called similarity graph. According to the field findings, supply chain characteristics in terms of complexity can have interaction with component processing performance. This means that according to the concept of entanglement, the lack of a favorable environmental structure in supply chains can also negatively affect the resilience performance of its components. Findings from the perspective of achieving a supply chain evaluation model as an integrated whole have provided a suitable practical tool for evaluation and pathology of supply chains from the perspective of risk management. |
| first_indexed | 2024-03-08T17:20:41Z |
| format | Article |
| id | doaj.art-4e66778afa3d41398173365b69335966 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:20:41Z |
| publishDate | 2021-06-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-4e66778afa3d41398173365b693359662024-01-03T04:46:10ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2021-06-01196114718010.22054/jims.2021.56523.256612890Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral ClusteringMostafa Ziyaei Hajipirlu0Houshang Taghizadeh1Mortaza Honarmand Azimi2Ph.D. Candidate , Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, IranProfessor , Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, IranAssistant Professor , Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, IranThe purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (horizontal, vertical, and spatial) of supply chains by considering the functional characteristics of its components based on the resilience paradigm is presented. In this regard, a set of algebraic calculations and computational algorithms have been adapted to evaluate the structural design from the perspective of complex components. In the structural design evaluation model through spectral clustering, it is possible to enter information about supply chains in terms of interactions between components in the form of a network as a comprehensive model called similarity graph. According to the field findings, supply chain characteristics in terms of complexity can have interaction with component processing performance. This means that according to the concept of entanglement, the lack of a favorable environmental structure in supply chains can also negatively affect the resilience performance of its components. Findings from the perspective of achieving a supply chain evaluation model as an integrated whole have provided a suitable practical tool for evaluation and pathology of supply chains from the perspective of risk management.https://jims.atu.ac.ir/article_12890_baa58f20b014f3f34e9125aa2729f44a.pdfcomplex adaptive systems theorysupply chain resiliencecomplexity&lrmspectral clusteringautomotive industry |
| spellingShingle | Mostafa Ziyaei Hajipirlu Houshang Taghizadeh Mortaza Honarmand Azimi Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī complex adaptive systems theory supply chain resilience complexity &lrm spectral clustering automotive industry |
| title | Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering |
| title_full | Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering |
| title_fullStr | Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering |
| title_full_unstemmed | Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering |
| title_short | Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering |
| title_sort | designing structure evaluation model at the upstream of automotive supply chains by an adapted spectral clustering |
| topic | complex adaptive systems theory supply chain resilience complexity &lrm spectral clustering automotive industry |
| url | https://jims.atu.ac.ir/article_12890_baa58f20b014f3f34e9125aa2729f44a.pdf |
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