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Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (5): 173-183.doi: 10.16381/j.cnki.issn1003-207x.2022.1330

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A Dynamic Assessment Method for Complex Equipment Delivery Risk Considering the Dual Correlation ofFactors - stages

Siqi Zhang, Jianjun Zhu()   

  1. College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
  • Received:2022-06-18 Revised:2022-12-23 Online:2025-05-25 Published:2025-06-04
  • Contact: Jianjun Zhu E-mail:zhujianjun@nuaa.edu.cn

Abstract:

The delivery link of the integrated supply chain of complex equipment is the key to the transformation of national defense combat power. Due to the complex and changeable delivery environment and the complex product technology, risks in the delivery process are frequent, and how to effectively identify and control risks has become a research difficulty in academia and industry. To solve this problem, the dynamic model of complex equipment delivery risk is studied under which delivery risk factors and stages (factors-stages) are related. According to the characteristics of complex equipment delivery, a criteria system affecting the delivery risk is constructed; the preference of decision-makers is expressed by using probabilistic linguistic terms, and a prospect theoretical analysis model that considers dynamic reference points and loss aversion coefficients are proposed; considering the dual correlation of factors-stages, risk measurement models based on Choquet integral are constructed. Finally, the feasibility of the method is verified based on the survey data of an aviation manufacturing enterprise. The results show that: (1) Due to poor technical stability, the delivery risk level of new complex equipment is higher than other types of risks; (2) Knowing customer needs in the early stage can help enterprises to resolve some risks in advance, helping to shorten the delivery cycle and improve customer satisfaction; (3) There is an interactive relationship between delivery risk, and enterprises need to focus on related risks when conducting risk investigation. It can support the decision-making of complex equipment delivery risk management and control schemes, continuously enhance the core competitiveness of enterprises, and provide a specific theoretical basis and practical value for enterprise delivery risk management and control.

Key words: delivery risk of complex equipment, dynamic model, dual correction of factors-stages, probabilistic linguistic terms

CLC Number: