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A study of emergency management of supply chain under supply disruption

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Abstract

Emergency is an important factor resulting in supply disruption risk. How to deal with emergency in supply chain arouses managers’ and researchers’ attention in recent years. In order to improve the effect of supply disruption risk management under this situation, this paper builds the supply disruption Emergency Management Model of supply chain from the angle of risk management and discusses whether the decision-making mechanism of the case-based reasoning can bring the better effect for supply disruption by using computational experiment. The results mainly show that the mechanism of risk assessment, risk identification, risk control and risk evaluation based on the case-based reasoning can effectively deal with supply disruption risk, and bring more profit and better service level for the members of supply chain.

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Acknowledgments

The authors are indebted to Editor-in-chief and the anonymous reviewers for their insightful comments and constructive suggestions, which help ameliorate the quality of this paper. This work was supported in part by the National Natural Science Foundation of China(Grant No: 71171099, 71201071, 71373105, 71301062) and by Humanities and Social Science Research Youth Foundation of Education Ministry of China(12YJCZH090, 13YJCZH130, 13YJCZH095). This work was also sponsored by Qing Lan Project and 333 Project of Jiangsu Province. At the same time, we are grateful to all the team members for their hard work to complete today’s achievements.

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Authors and Affiliations

  1. School of Management, Jiangsu University, Zhenjiang, 212013, China

    Daohai Zhang, Jianguo Du & Shuai Jin

  2. School of Management and Engineering, Nanjing University, Nanjing, 210093, China

    Zhaohan Sheng

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  1. Daohai Zhang
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  2. Zhaohan Sheng
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  3. Jianguo Du
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  4. Shuai Jin
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Correspondence to Daohai Zhang.

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Zhang, D., Sheng, Z., Du, J. et al. A study of emergency management of supply chain under supply disruption. Neural Comput & Applic 24, 13–20 (2014). https://doi.org/10.1007/s00521-013-1511-y

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  • DOI: https://doi.org/10.1007/s00521-013-1511-y

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