The Journal of Grey System ›› 2024, Vol. 36 ›› Issue (1): 16-21.

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Supplier Risk Assessment Research Based on Improved QFD-GC Method with Choquet Integral

  

  1. 1. School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, Jiangsu, 210023, P.R. China  2. Ginling College, Nanjing Normal University, Nanjing, Jiangsu, 210097, P.R. China  3. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 211106, P.R. China  
  • Online:2024-02-01 Published:2024-03-07

Abstract: In the realm of production and manufacturing, a symbiotic relationship with suppliers underscores the significance of rigorous supplier risk assessment. To address this growing need, our approach comprises four essential stages. Firstly, we have pioneered the development of an interval grey number QFD platform, a pioneering tool designed to discern and prioritize pivotal quality risk factors. Secondly, the Choquet integral is skillfully employed to navigate the intricate web of risk events' interrelations, thereby deriving the essential weightings of these risk factors. Thirdly, a cutting-edge grey clustering evaluation model is meticulously crafted, integrating the weightings of the risk factors. This model, a cornerstone of our methodology, is instrumental in classifying suppliers based on their respective risk profiles, optimizing risk management strategies. Lastly, our method's practicality and effectiveness are unequivocally validated through a real-world numerical example, conclusively showcasing its value in the context of supplier risk management. 

Key words: New energy vehicle, Interval grey number, QFD, Grey clustering evaluation model