Supply chain risk assessment model based on cloud model with subjective preference weight allocation algorithm

Article type: Research Article

Authors: Jiao, Hongqiang^* | Ding, Wanning | Shi, Yachao | Zhao, Na | Wang, Baomin

Affiliations: Information Engineering Institute, Handan College, Handan, Hebei, China

Correspondence: [*] Corresponding author: Hongqiang Jiao, Information Engineering Institute, Handan College, Handan, Hebei, China. E-mail: [email protected].

Abstract: The supply chain management philosophy has often been used by organizations to achieve a competitive advantage, but this has led to increased vulnerability of these supply chains (SC) to certain risks. This paper proposes a supply chain risk evaluation model based on the analysis of existing risk evaluation systems. This paper accomplishes the following goals. First, it integrates key indicators to compensate for the shortcomings of traditional risk indices. Second, the proposed model also measures the risk of a company’s supply chain effectively. We propose a subjective group preference weight allocation algorithm for a comprehensive evaluation. The simulation experiment shows that the proposed model can measure quantitative and qualitative indices in the supply chain effectively.

Keywords: Risk evaluation, cloud model, preference weight, supply chain

DOI: 10.3233/IDT-180001

Journal: Intelligent Decision Technologies, vol. 14, no. 2, pp. 133-142, 2020