scholarly journals Bayesian Belief Network Approach for Supply Risk Modelling

2022 ◽  
Vol 15 (1) ◽  
pp. 0-0
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Risk Model ◽  
Management Strategies ◽  
Bayesian Belief Network ◽  
Supply Chain Risk Management ◽  
Supply Risk ◽  
Belief Network ◽  
Transportation Risk ◽  
Price Risks

Today’s global and complex world increased the vulnerability to risks exponentially and organizations are compelled to develop effective risk management strategies for its mitigation. The prime focus of research is to design a supply risk model using Bayesian Belief Network bear in mind the tie-in of risk factors (i.e. objective and subjective) those are critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as so situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian Network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts. .

The Research and Management Strategies of Supply Chain Risks

2014 ◽  
Vol 644-650 ◽  
pp. 5523-5527
Author(s):  
Ran Ding
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Management Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Future Studies ◽  
Countermeasures And Suggestions ◽  
Supply Chain Risks

The competition between supply chains is increasingly fierce on the current, supply chain risk management is got more attention by people. This paper elaborates definitions and meaning of the supply chain risk and supply chain risk management at first, followed by the classification of supply chain risk factors whose features are analyzed and compared thereafter. In the last, the paper proposes countermeasures and suggestions on supply chain risk management, which provides a useful reference for the future studies.

scholarly journals Phases and tools for supply chain risk management: a systematic literature review

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Priscila Gomes Pereira Gaspar ◽  
Paula Santos Ceryno ◽  
Ana Luiza Ferrer ◽  
Antônio Márcio Tavares Thomé
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Management Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Academic Literature ◽  
Risk Management Strategies ◽  
Selection Of

Abstract Supply chain risk management (SCRM) has been widely discussed in the academic literature and several models have been proposed in recent years, but there is a need for a model encompassing phases and tools for SCRM. This study presents a systematic literature review (SLR) of 254 abstracts and 68 full-text papers. The SLR made it possible to identify and define the main phases for the SCRM, as well as the tools proposed for each phase. There is a concentration of efforts in the phases of identification, assessment, and selection of risk management strategies and a limited number of studies in monitoring and controlling risks. The article offers a global SCRM framework, contributing to the theoretical discussions and a practical guide to implementation related to SCRM.

scholarly journals Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

2019 ◽  
Vol 3 (2) ◽  
pp. 209 ◽  
Author(s):  
Umair Waqas ◽  
Azmawani Binti Abd. Rahman ◽  
Normaz Wana Ismail ◽  
Norazlyn Kamal Basha ◽  
Sonia Umair
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Supply Chain ◽  
Management Strategies ◽  
Risk Identification ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Management Strategies ◽  
Trading Partners ◽  
Supply Chain Risks

There is a dearth of empirical and theoretical investigation in the field of supply chain risk management. Even though SCRM is an important component in supply chain management research, there is still a lack of understanding regarding the term and the concept to develop advantageous SCRM. In the literature of SCRM, different aspects have been discussed, for instance, risk identification, risk assessment, risk management strategies, risk monitoring, and contingency plans. Supply chain risks are increasing because of multiple outsourced partners linked with each other making it more complex, along with this, business is also uncertain, so these scenarios increase supply chain risks. Knowledge management has been used to know about the market scenarios and the information of trading partners and supply chain managers from different firms to know about the uncertainty or risks. However, the discussion shows that the efficient implication of KM capabilities on the SCRs and SCRM is still lacking. This paper provides a comprehensive conceptual framework on the effect of knowledge management within supply chain risk and supply chain risk management.

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