Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach-Reference-Cited by-同舟云学术

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Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach

Published:2019-09-09 Issue:11 Volume:58 Page:3284-3303
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Hosseini Seyedmohsen¹,Ivanov Dmitry²^ORCID,Dolgui Alexandre³^ORCID

Affiliation:

1. Industrial Engineering Technology, University of Southern Mississippi, Long Beach, MS, USA

2. Berlin School of Economics and Law, Berlin, Germany

3. Automation, Production and Computer Sciences Department, IMT Atlantique LS2N – CNRS UMR 6004 La Chantrerie, Nantes, France

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1661538

Reference56 articles.

1. Bayesian network based dynamic operational risk assessment

2. Beroe. Impact of Recent Floods in Chennai. https://bit.ly/2YNGARq

3. Effectiveness of responsive pricing in the face of supply chain disruptions

4. A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels

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