Emergency Supply Chain Management Based on Rough Set – House of Quality
| Autor: | Fu-Min Deng, Zhi Li, Yuan He, Xue-Dong Liang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Supply chain management Computer science Applied Mathematics media_common.quotation_subject Supply chain House of Quality 02 engineering and technology Computer Science Applications 020901 industrial engineering & automation Procurement Risk analysis (engineering) Control and Systems Engineering Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Quality (business) Rough set Key management media_common |
| Zdroj: | International Journal of Automation and Computing. 16:297-309 |
| ISSN: | 1751-8520 1476-8186 |
| DOI: | 10.1007/s11633-018-1133-z |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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