Smart Supply Chain Risk Assessment in Intelligent Manufacturing

ABSTRACT

This paper identifies risk factors in the smart supply chain and develops a risk assessment index system for reducing potential losses in intelligent manufacturing. Specifically, based on the supply chain operation reference theory, we investigate the performance indicators and characteristics of the smart supply chain in intelligent manufacturing in China. A conceptual model for identifying risks of the smart supply chain is developed, and a questionnaire is designed to measure the risks of the smart supply chain in intelligent manufacturing. Using the hierarchical clustering analysis, an improved risk assessment model is derived with 22 risk factors based on 814 valid sample data. Moreover, the information entropy weight method is used to compute the risk weights for the smart supply chain in intelligent manufacturing. The risk weights are further verified by simulation and proved that these risk factors and risk weights have high practical efficiency. Theoretical and practical implications are also presented.

KEYWORDS:

• Risk assessment
• smart supply chain
• intelligent manufacturing
• entropy weight

Acknowledgments

The author would like to thank all respondents who took time to complete the survey. Their support was fundamental for this study. The Author would also like to thank the editor and the anonymous referees for their critical feedback and valuable suggestions.

Additional information

Funding

This research was supported by the Natural Science Foundation of Zhejiang Province in China (Grant No.LY18G010011), supported by the Social Science Foundation of Jiaxing University (Grant No.70118001), and supported by the Research Center of Yangtze River Delta integration development Foundation of Jiaxing University (Grant No.JCSJ201901).