Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
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Title
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
Authors
Keywords
Supply chain management, Supply chain resilience, Bayesian network, Machine learning, Ripple effect
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 161, Issue -, Pages 113649
Publisher
Elsevier BV
Online
2020-06-20
DOI
10.1016/j.eswa.2020.113649
References
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Note: Only part of the references are listed.- Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic
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- (2019) Kang Zhao et al. JOURNAL OF OPERATIONS MANAGEMENT
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- (2019) Seyedmohsen Hosseini et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2019) Rajat Gupta et al. ENERGY AND BUILDINGS
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- (2019) Seyedmohsen Hosseini et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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- (2019) Alexandre Dolgui et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- (2018) Abroon Qazi et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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- (2018) Petros Boutselis et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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- (2018) John R. Macdonald et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- (2018) Ritesh Ojha et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- (2018) R. Rajesh MEASUREMENT
- An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking
- (2018) Madjid Tavana et al. NEUROCOMPUTING
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- (2018) Zhen Hong et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- A real-option approach to mitigate disruption risk in the supply chain
- (2018) Jian He et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Stochastic prediction of train delays in real-time using Bayesian networks
- (2018) Francesco Corman et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Supply chain risk management and artificial intelligence: state of the art and future research directions
- (2018) George Baryannis et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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- (2018) Juan Yang et al. MATHEMATICAL PROBLEMS IN ENGINEERING
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- (2017) Colleen L. Lau et al. ENVIRONMENTAL MODELLING & SOFTWARE
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- (2017) Rameshwar Dubey et al. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
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- (2017) R. Sreedevi et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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- (2014) ShiJie Ye et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)
- (2014) Simon Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Bayesian network model for predicting pregnancy after in vitro fertilization
- (2013) G. Corani et al. COMPUTERS IN BIOLOGY AND MEDICINE
- The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management
- (2013) Dmitry Ivanov et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Modeling supplier risks using Bayesian networks
- (2012) Archie Lockamy et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Constructing the Bayesian Network for components reliability importance ranking in composite power systems
- (2012) T. Daemi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Incorporating expert knowledge when learning Bayesian network structure: A medical case study
- (2011) M. Julia Flores et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Methods to elicit beliefs for Bayesian priors: a systematic review
- (2009) Sindhu R. Johnson et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities
- (2007) Sumeet Gupta et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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