Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on the Experimental Cost Estimation Model in the Civil Aircraft Development Phase

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342738,
        author={Cheng  Zhang},
        title={Research on the Experimental Cost Estimation Model in the Civil Aircraft Development Phase},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={civil aircraft development phase experiment cost estimation},
        doi={10.4108/eai.17-11-2023.2342738}
    }
    
  • Cheng Zhang
    Year: 2024
    Research on the Experimental Cost Estimation Model in the Civil Aircraft Development Phase
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342738
Cheng Zhang1,*
  • 1: COMAC Shanghai Aircraft Design & Research Institute
*Contact email: Zhangcheng3@comac.cc

Abstract

With the increasing maturity of domestic civil aircraft technology and the entry of domestically produced civil aircraft into the market, civil aircraft enterprises are gradually strengthening their awareness and capabilities in cost control to achieve higher profit margins by controlling aircraft costs. For aircraft manufacturers, controlling development costs during the aircraft development phase is crucial. Test costs are an important component of development costs, and there is a large number and variety of tests during the civil aircraft development phase. Therefore, it is essential to establish a universal test cost estimation model to meet the manufacturer's need for efficient and accurate control of test costs. This article introduces a test cost estimation model for the civil aircraft development phase, considering nine types of costs, including labor costs, equipment costs, and fuel costs. The rationality of this model is validated through research, calculations, and result comparisons.