Abstract
Under the new retail background, enterprises pursue more rapid response and flexible supply chain, but also increase the vulnerability and risk of supply chain. Any link problems caused by the uncertainty of supply chain are very easy to cause supply collapse or operational obstacles. In order to reduce the influence of uncertainty and reduce the risk and loss caused by out of control, this paper, guided by the concept and thought of risk assessment, tries to introduce the extension assessment into the supply chain risk analysis in order to assess the supply chain risk through a quantitative analysis method and reduce the impact of uncertainty.
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References
Zhou Y, Guanhua Q, Wang Z (2006) Summary and analysis of research progress in supply chain risk management. Syst Eng 24(3):1–7
Chen J, Zhao Y (2013) Automobile manufacturing supply chain risk extension matter element evaluation. Logist Technol 32(5):410–412
Bao ZC (2012) A comprehensive evaluation method of supply chain risk—variable weight extension matter element method. Sci Technol Manag Res 32(3):31–33
Guihu W (2010) Evaluation of supply chain flexibility based on extension-matter model. Appl Comput Res 27(10):3724–3726
Bohnstedt J (2018) Supply Chain Risk Management (SCRM) und Verträge
Schorpp G, Erhun F, Lee HL (2018) Multi-tiered supply chain risk management. Social Science Electronic Publishing
Rajesh R, Ravi V (2015) Modeling enablers of supply chain risk mitigation in electronic supply chains: a Grey–DEMATEL approach. Comput Ind Eng 87:126–139
Lavastre O, Gunasekaran A, Spalanzani A (2014) Effect of firm characteristics, supplier relationships and techniques used on Supply Chain Risk Management (SCRM): an empirical investigation on French industrial firms. Int J Prod Res 52(11):3381–3403
Acknowledgements
This work was supported by Scientific research project of Guangzhou Panyu Polytechnic Institute in 13th Five-Year (2017JG09 & 2018Q001) and the teaching reform project of Higher Vocational Education in Guangdong (201401174).
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Liu, S., Chen, H., Hu, Z. (2020). Research on Risk Assessment and Early Warning of Supply Chain Based on Extension in the Context for New Retailing. In: Li, X., Xu, X. (eds) Proceedings of the Sixth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-13-8229-1_1
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DOI: https://doi.org/10.1007/978-981-13-8229-1_1
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