Supply risk management vs supplier selection to manage the supply risk in the EPC supply chain

2008 ◽  
Vol 31 (11) ◽  
pp. 846-866 ◽  
Author(s):  
Guido J.L. Micheli ◽  
Enrico Cagno ◽  
Marta Zorzini
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supplier Selection ◽  
Supply Risk

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. .

Compound mechanism design of supplier selection based on multi-attribute auction and risk management of supply chain

2017 ◽  
Vol 105 ◽  
pp. 63-75 ◽  
Author(s):  
Congjun Rao ◽  
Xinping Xiao ◽  
Mark Goh ◽  
Junjun Zheng ◽  
Jianghui Wen
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Mechanism Design ◽  
Supplier Selection

Supply risk management and competitive advantage: a misfit model

2015 ◽  
Vol 26 (3) ◽  
pp. 459-478 ◽  
Author(s):  
Jury Gualandris ◽  
Matteo Kalchschmidt
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Competitive Advantage ◽  
Business Performance ◽  
Future Research ◽  
Supply Chain Risk ◽  
Supply Risk ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose – The purpose of this paper is to develop a model of congruence for the management of supply risk that is easy to apply, but also accurate. The authors also aim at providing empirical evidence about the relationship between misfit – i.e. the incongruence between a firm’s preparedness in (supply) risk management and the potential riskiness characterising the context – and competitive advantage. Design/methodology/approach – In line with the purpose, literature and field interviews were used to develop a model of congruence in the context of supply risk management (SRM) and operationalise it within a questionnaire. Then, the authors collected survey data to validate the model. Findings – Results show that competitive advantage decreases when the firm’s preparedness in SRM does not match to the pattern of risk conditions (i.e. environmental vulnerabilities). Research limitations/implications – The model of congruence here developed is simple to apply but offer effective decisions support. This study, thus, stimulates future research on the assessment and management of supply chain risk. This study, also, fosters the attention to the non-linear relationship between risk management and business performance. Practical implications – This study develops a model that can be used by practitioners to configure an optimal adoption of SRM practices. Also, the analysis allows to draw some specific recommendations for supply chain managers aiming at improving their preparedness in SRM. Originality/value – By relying on SRM literature, the balanced-resilience logic and the theoretical framework of contingency theory, this study develops and test a model of congruence that shows how companies can gain competitive advantage through the management of supply risk.

scholarly journals An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective

2018 ◽  
Vol 23 (6) ◽  
pp. 461-479 ◽  
Author(s):  
Vikas Kumar ◽  
Ozlem Bak ◽  
Ruizhi Guo ◽  
Sarah Louise Shaw ◽  
Claudia Colicchia ◽  
...  
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Business Performance ◽  
Business Environment ◽  
Structured Interviews ◽  
Supply Risk ◽  
Management Performance ◽  
Content Type ◽  
Manufacturing Supply Chain

Purpose This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains. Design/methodology/approach A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews. Findings The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance. Practical implications In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance. Originality/value The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

Proactive supply risk management methods for building a robust supply selection process when sourcing from emerging markets

2008 ◽  
Vol 1 (3) ◽  
pp. 252-267 ◽  
Author(s):  
Xiaohong Li ◽  
Ian Barnes
Keyword(s):  
Risk Management ◽  
Emerging Markets ◽  
Supplier Selection ◽  
Selection Process ◽  
Manufacturing Companies ◽  
Supply Risk ◽  
Content Type ◽  
Risk Sources ◽  
Research Findings

PurposeThis paper aims to identify proactive supply risk management methods which can be used to reduce or remove risk sources during the supplier selection process, in the context of Western‐based manufacturing companies that source from emerging markets.Design/methodology/approachLearning from the literature and conducting multiple‐case study analyses of five Western‐based manufacturing companies' sourcing experiences from emerging markets.FindingsThe experiences of five Western‐based manufacturing companies suggested that applying the risk management process into supplier selection was particularly important and effective for supply risk reduction when sourcing from emerging markets. Supply risk sources must be identified and proactive supply risk management methods must be used to remove or reduce risk sources for effective supply risk management. The proactive risk management methods discovered in this research are: conducting a supplier questionnaire covering a wide range of business dimensions of the supplier; performing a technical review; negotiating a risk mitigation plan; employing local‐based procurement staff; using a total cost estimate; applying a strict part qualification process.Research limitations/implicationsA multiple‐case study methodology employs a limited number of case studies and therefore may restrict the generalisation of research findings. Manufacturing companies are used as case study organisations for this research. Therefore, the research findings are particularly applicable and useful to manufacturing companies but might not be valid for other types of company. The research focuses on supply risk reduction during the supplier selection process, while further research into other stages of the supply management process is desirable.Practical implicationsThe generated proactive supply risk management methods are useful to manufacturing companies looking to source or aiming to improve their sourcing experiences from emerging markets.Originality/valueThe literature provides valuable contents in terms of concepts but lacks proactive supply risk management methods for supply risk management when sourcing from emerging markets. The generated proactive supply risk management methods based on first‐hand information are valuable both to academics and practitioners in this field.

Supply Chain Risk Assessment in the Ornamental Fish Supply Chain

2019 ◽  
Vol 8 (2) ◽  
pp. 36-50
Author(s):  
Mohammed C. Iqbal ◽  
Shalij P.R
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Supply Chain ◽  
Conceptual Framework ◽  
Financial Risk ◽  
Ornamental Fish ◽  
Supply Chain Risk ◽  
Supply Risk ◽  
Clear View ◽  
Significant Difference

Systematic risk management plays a key role in confronting the emerging challenges of business. A conceptual framework is presented here for the evaluation of risks in the ornamental fish supply chain. With a prolonged study and deliberations with field experts, various types of risks are brought out of the ornamental fish supply chain. From the study, the types of risks associated are clustered into six categories, namely macro level risk, demand risk, supply risk, quality risk, risk on asset and infrastructure and financial risk, to find out the major risks in this supply chain. Friedman's ranked data test is applied to find the significant difference in various risks clustered in the categories. The study allows a supply chain member to develop a clear view of risk related to the entire supply chain. The article can help the members of the ornamental fish supply chain to make use of the study and information to make more efficient and effective supply chain.

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