The research into screening crisis early warning indicators of supply chain quality based on fuzzy inference system

Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)

Guest editors: Wen-Hsiang Hsieh

Article type: Research Article

Authors: Hu, Xiulian^{; *} | Liu, Dan

Affiliations: Department of Logistics, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China

Correspondence: [*] Corresponding author. X.-L. Hu, Department of Logistics, Fuzhou University of International Studies and Trade, Fuzhou 350202, Fujian, China. E-mail: [email protected].

Abstract: The initial crisis early warning index system of the supply chain quality has been built up according to crisis inducement, documentary research and corporate research. Then we evaluated the feasibility, importance, independence of the index system by using experts scoring methodology. The initial crisis early warning index system has been filtered by fuzzy inference system (FIS) and the final crisis early warning index system has been established.

Keywords: Supply chain quality, crisis early warning, early warning index, crisis inducement

DOI: 10.3233/JIFS-169870

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 935-942, 2019