Hybrid fuzzy-probabilistic approach to supply chain resilience assessment

Abstract : In this paper, we extend the existing models of supply chain resilience assessment by incorporating the ripple effect and structure reconfiguration. The research is based on a hybrid fuzzy-probabilistic approach. We apply the genome method with the objective to include the structural properties of the supply chain design into resilience assessment. We develop a supply chain design resilience index, demonstrate its computation and application. The results suggest a method to compare different supply chain designs regarding the resilience with both disruption propagation and recovery consideration. It also allows identifying groups of critical suppliers whose failure interrupt the supply chain operation.
Type de document :
Article dans une revue
IEEE Transactions on Engineering Management, Institute of Electrical and Electronics Engineers, 2018, 65 (2), pp.303 - 315. 〈10.1109/TEM.2017.2773574〉
Liste complète des métadonnées

Littérature citée [49 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01770431
Contributeur : Alexandre Dolgui <>
Soumis le : jeudi 19 avril 2018 - 07:44:57
Dernière modification le : vendredi 27 avril 2018 - 14:06:04

Fichier

IEEE T EM Ivanov et al.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Dmitry Ivanov, Alexander Pavlov, Alexandre Dolgui, Boris Sokolov. Hybrid fuzzy-probabilistic approach to supply chain resilience assessment. IEEE Transactions on Engineering Management, Institute of Electrical and Electronics Engineers, 2018, 65 (2), pp.303 - 315. 〈10.1109/TEM.2017.2773574〉. 〈hal-01770431〉

Partager

Métriques

Consultations de la notice

91

Téléchargements de fichiers

28