Research on Comprehensive Performance Evaluation Method for Frontier Fundamental Research Project for Future Aircraft Engines

Guixian Qu, Xu Yang, Qiyu Yuan, Zhenxin Liu and Yang Si ()
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Guixian Qu: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Xu Yang: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Qiyu Yuan: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Zhenxin Liu: Zhongfa Aviation Institute of Beihang University, Hangzhou 311115, China
Yang Si: Logistics School, Beijing Wuzi University, Beijing 710072, China

Sustainability, 2024, vol. 16, issue 14, 1-23

Abstract: The evaluation and management of frontier fundamental research projects for future advanced aircraft engines are challenging due to the need to balance assessing the innovative potential and technical risks with considering their long-term effects and inherent uncertainties. This study presents a comprehensive evaluation indicator system for evaluating frontier fundamental research projects for future advanced aircraft engines, integrating the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation (FCE) to balance innovative potential with technical risks. The AHP is used to determine weights for the evaluation indicator system based on a survey of technical experts. By incorporating expert ratings and weighted criteria, the FCE method synthesizes comprehensive evaluations and effectively avoids traditional scoring biases and simplistic averaging methods. A case study on a major project is conducted to demonstrate the effectiveness of the proposed method in highlighting the significant achievements and potential for innovation gaps. The results show that the AHP-FCE method proves robust in identifying complex, prospective research, providing a strategic tool for policymakers to prioritize impactful aircraft engine research and ensuring investment in projects with significant breakthrough potential.

Keywords: aircraft engine; frontier fundamental research project; comprehensive evaluation indicator system; analytic hierarchy process; fuzzy comprehensive evaluation; performance evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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