Stochastic Integrated Supplier Selection and Disruption Risk Assessment Under Ripple Effect - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Stochastic Integrated Supplier Selection and Disruption Risk Assessment Under Ripple Effect

Résumé

The impact of the COVID-19 pandemic in the supply chain (SC) evokes the need for valid measures to cope with the SC disruption risk. Supplier selection and disruption risk assessment, as valid measures, have received increasing attentions from academia. However, most of existing works focus on supplier selection and disruption risk assessment separately. This work investigates an integrated supplier selection and disruption risk assessment problem under ripple effect. The objective is to minimize the weighted sum of the disrupted probability and the total cost for the manufacturer. For the problem, a new stochastic programming model combined with Bayesian network (BN) is formulated. Then, an illustrative example is conducted to demonstrate the proposed method.
Fichier principal
Vignette du fichier
520759_1_En_75_Chapter.pdf (536.03 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Licence : CC BY - Paternité

Dates et versions

hal-03360839 , version 1 (01-10-2021)

Licence

Paternité

Identifiants

Citer

Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng, Chengbin Chu. Stochastic Integrated Supplier Selection and Disruption Risk Assessment Under Ripple Effect. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.689--696, ⟨10.1007/978-3-030-85906-0_75⟩. ⟨hal-03360839⟩
47 Consultations
7 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More