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Supply chain disruption assessment based on the newsvendor model

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DOI: 
http://dx.doi.org/10.3926/jiem.613
Abstract (2. Language): 
Purpose: This paper focuses on supply chain disruption assessment. Design/methodology/approach: Newsvendor Model. Findings: As both cost and income principle will be taken into account in supply chain disruption assessment, we proposed in this paper: (1) the problem of supply chain disruption assessment is the trade-off problem. (2) the generic single period - newsvendor model can be used for capturing the critical point, which in tradition model stands for the demarcation point of profit but in this paper is the least costs considering disruption costs and expected revenues. Research limitations/implications: single period - newsvendor model. Practical implications: we give an example for test the effectiveness of this method. Originality/value: to research supply chain risk in a new approach, that is: supply chain risk has both cost and profit. So we can assess it with trade-off method.
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REFERENCES

References: 

Anastasios X., Dimitrios, V., & Eleftherios, I. (2012). Optimal newsvendor policies for dual-souring supply chains: A disruption risk management framework. Computers & Operational Research, 39, 350-357. http://dx.doi.org/10.1016/j.cor.2011.04.010
Christopher S.T. (2006). Perspective in supply chain risk management. International Journal of Production Economics, 103, 451-488. http://dx.doi.org/10.1016/j.ijpe.2005.12.006
Ding, W., Liu K., & He, G., (2003). Study on risk of supply chain. China Safety Science Journal, 13(4), 64-66.
Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal in Purchasing and Supply Management, 9(2), 51–62. http://dx.doi.org/10.1016/S1478-4092(03)00004-9
Manuj, I., & Mentzer, J. (2008). Global supply chain risk management. Journal of Business Logistics, 29(1), 133–155. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00072.x
Meng, K. (2009). Comprehensive grey fuzzy evaluation on research on supply chain risk based on. The Friend of the Head, 58(10).
Qin, Y., Wang, R., Vakharia, A.J., Chen, Y., & Seref, M.M.H. (2011). The newsvendor problem: Review and directions for future research. European Journal of Operational Research, 213, 361-374. http://dx.doi.org/10.1016/j.ejor.2010.11.024
Ritchie, B., & Brindley, C. (2004). Risk characteristics of the supply chain-A contingency framework. Supply Chain Risk.
Wakolbinger, T. & Cruz, J.M. (2011). Supply chain disruption risk management through strategic information acquisition and sharing and risk-sharing contracts. International Journal of Production Research, 49(13), 4063-4084. http://dx.doi.org/10.1080/00207543.2010.501550Werner, J., & Peter K. (2011). Risk preferences of a news vendor with service and loss constraints. International Journal of Production Economics.
Werner, J., & Peter, K. (2008). A newsvendor model with service and loss constraints. Jena Research Papers in Business and Economics.
Werner. J., & Peter, K. (2007). Risk-averse and risk-taking newsvendors: A conditional expected value approach. Review of Management Science, 1(1), 93-110. http://dx.doi.org/10.1007/s11846-007-0005-7
Xu, M., & Li, J. (2010). Optimal decision when balancing expected profit and confidention value-at-risk in newsvendor model. Journal of Systems Science & Complexity, 23, 1054-1070. http://dx.doi.org/10.1007/s11424-010-7116-y
Zhang, S. (2011). Fortification models hedging disruption risks based on arborescent supply chain. Operations research and managment science, 20(1), 186-191.

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