%0 Conference Proceedings
%T A New Robust Dynamic Bayesian Network Model with Bounded Deviation Budget for Disruption Risk Evaluation
%+ School of Economics and Management
%+ Tongji University
%+ Informatique, BioInformatique, Systèmes Complexes (IBISC)
%+ Glorious Sun School of Business & Management
%+ Donghua University [Shanghai]
%+ Laboratoire d'Informatique Gaspard-Monge (LIGM)
%A Liu, Ming
%A Lin, Tao
%A Chu, Feng
%A Zheng, Feifeng
%A Chu, Chengbin
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-632
%N Part III
%P 681--688
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85906-0_74
%K Supply chain
%K Dynamic bayesian network
%K Bounded deviation budget
%Z Computer Science [cs]
%Z Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%X Dynamic Bayesian network (DBN), combining with probability intervals, is a valid tool to estimate the risk of disruptions propagating along the supply chain (SC) under data scarcity. However, since the approach evaluate the risk from the worst-case perspective, the obtained result may be too conservative for some decision makers. To overcome this difficulty, a new robust DBN model, considering bounded deviation budget, is first time to be developed to analyse the disruption risk properly. We first formulate a new robust DBN optimization model with bounded deviation budget. Then a linearization technique is applied to linearize the nonlinear bounded deviation budget constraint. Finally, a case study is conducted to demonstrate the applicability of the proposed model and some managerial insights are drawn.
%G English
%Z TC 5
%Z WG 5,7
%2 https://hal.science/hal-03360792/document
%2 https://hal.science/hal-03360792/file/520759_1_En_74_Chapter.pdf
%L hal-03360792
%U https://hal.science/hal-03360792
%~ ENPC
%~ CNRS
%~ UNIV-EVRY
%~ LIGM_A3SI
%~ IBISC
%~ PARISTECH
%~ LIGM
%~ IBISC-AROBAS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ TDS-MACS
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ UNIV-PARIS-SACLAY
%~ UNIV-EVRY-SACLAY
%~ TEST-HALCNRS
%~ UNIVERSITE-PARIS-SACLAY
%~ GS-ENGINEERING
%~ GS-COMPUTER-SCIENCE
%~ GS-LIFE-SCIENCES-HEALTH
%~ GS-SPORT-HUMAN-MOVEMENT
%~ UNIV-EIFFEL
%~ U-EIFFEL
%~ IFIP-AICT-632
%~ TEST-SEBASTIEN1