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Emergency Supply Chain Management Based on Rough Set – House of Quality

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Abstract

Due to the frequent occurrence of various emergencies in recent years, people have put forward higher requirements on the emergency supply chain management. It is of great significance to explore the key management indicators of emergency supply chain for its management and efficient operation. In order to reveal the essence of emergency supply chain management, production, procurement, distribution, storage, use, recycling and other emergencies, supply chain links are considered to establish an emergency supply chain management index system to identify the key influencing factors in the emergency supply chain. The emergency supply chain involves many management elements and the traditional qualitative analysis and comprehensive evaluation methods have their shortcomings in practice. In order to get a more suitable method, a novel evaluation model is proposed, based on Rough set–house of quality method. In this paper, Rough set is used to filter the indexes, eliminate redundant indicators, and simplify many management indicators of the emergency supply chain system to a few core indicators. Then, the house of quality is used to analyze and sort the core index to get the key management index of emergency supply chain. The effectiveness of the proposed evaluation model is validated through a series of numerical experiments. The experimental results also show that the proposed evaluation model can assist decision makers in optimizing the emergency supply chain procedure and improving the efficiency of accident rescue.

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610065, China

    Yuan He, Xue-Dong Liang, Fu-Min Deng & Zhi Li

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  1. Yuan He
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  2. Xue-Dong Liang
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  3. Fu-Min Deng
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  4. Zhi Li
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Corresponding author

Correspondence to Zhi Li.

Additional information

Recommended by Associate Editor Dong-Ling Xu

Yuan He is a master student in logistics engineering at Sichuan University, China.

Her research interests include supply chain management, specically the emergency supply chain management, supply chain process optimization and logistics system operation management.

Xue-Dong Liang received the Ph. D. degree in mechanical engineering from Chongqing University, China in 2009. He is an associate professor of industrial engineering and engineering management department at Sichuan University, China. He worked at Purdue University as a visiting scholar in from 2007 to 2008. He has published about 50 refereed journal and conference papers.

His research interests include supply chain management, project management, logistics and collaborative design.

Fu-Min Deng received the Ph. D. degree in management science and engineering from Sichuan University, China in 2008. He is a professor of Industrial Engineering and Engineering Management Department at Sichuan University, China. He has published about 30 refereed journal and conference papers. He received Sichuan Province Science and Technology Progress Award and Sichuan sixteenth outstanding achievements in Social Science Award.

His research interests include supply chain management, emergency management and technical economics and management.

Zhi Li received the Ph. D. degree in supply chain management at the Hongkong Polytechnic University, China in 2014. He is a lecturer of Industrial Engineering and Engineering Management Department at Sichuan University, China. He has published about 10 refereed journal and conference papers.

His research interests include supply chain management and logistic.

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He, Y., Liang, XD., Deng, FM. et al. Emergency Supply Chain Management Based on Rough Set – House of Quality. Int. J. Autom. Comput. 16, 297–309 (2019). https://doi.org/10.1007/s11633-018-1133-z

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