Yuan He, Xue-Dong Liang, Fu-Min Deng and Zhi Li. Emergency Supply Chain Management Based on Rough Set – House of Quality. International Journal of Automation and Computing, vol. 16, no. 3, pp. 297-309, 2019. DOI: 10.1007/s11633-018-1133-z
Citation: Yuan He, Xue-Dong Liang, Fu-Min Deng and Zhi Li. Emergency Supply Chain Management Based on Rough Set – House of Quality. International Journal of Automation and Computing, vol. 16, no. 3, pp. 297-309, 2019. DOI: 10.1007/s11633-018-1133-z

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

  • 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.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return