Parametric cost analysis and quantitative risk assessment for developing strategies to counter risks in the design and production of medical aircraft in the Russian federation

  • Abstract
  • Keywords
  • References
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  • Abstract

    The objective is to identify potential risks in the aircraft development and to quantify the risks in the process, ultimately to find mitigating strategies. Monte-Carlo simulation for quantitative risk assessment and RAND DAPCA IV to calculate the cost are employed. These results are comprehended and collectively assessed with few assumptions. The assumptions are in due consideration to the local conditions, and thus they reflect in the approximations. These assumptions indicate the impact of the industrial and academic environment of the Russian Federation on the developmental cycle of the aircraft. The estimated financial risk for the development of an air medical ambulance for the Russian Federation is 29%, and the cost for unit production of the medical aircraft is nearly 19 million USD. The suggested strategies can reduce the financial risk to 22% and the cost for unit production of the medical aircraft to nearly 13 million USD.

  • Keywords

    Aircraft Production Cost Analysis; Monte-Carlo Simulation; Parametric Analysis; Quantitative Risk Assessment; RAND DAPCA IV

  • References

      [1] Y George and BA Sergeevna. Feasibility study for an air ambulance in the Russian Federation. Indian Journal of Science and Technology, 13(17):1730–1737, 2020.

      [2] Daniel Raymer. Aircraft design: a conceptual approach. American Institute of Aeronautics and Astronautics, Inc., 2012.

      [3] Shih-Chieh Huang, R ́emi Coulom, and Shun-Shii Lin. Monte-carlo simulation balancing in practice. In International Conference on Computers and Games, pages 81–92. Springer, 2010.

      [4] Vishal Kumar Gupta and Jitesh J Thakkar. A quantitative risk assessment methodology for construction project. S ̄adhan ̄a, 43(7):1–16,2018.

      [5] HE Boren Jr. A computer model for estimating development and procurement costs of aircraft (dapca-iii). Technical report, RANDCORP SANTA MONICA CALIF, 1976.

      [6] Ronald Wayne Hess and HP Romanoff. Aircraft airframe cost estimating relationships. study approach and conclusions. Technical report, RAND CORP SANTA MONICA CA, 1987.

      [7] Douglas K Howarth. Trade space, product optimization, and parametric analysis. Journal of Cost Analysis and Parametrics, 7(1):2–19,2014.

      [8] Patricia L Meyer. Estimating aircraft airframe tooling cost: An alternative to dapca iii. Technical report, AIR FORCE INST OF TECHWRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS, 1988.

      [9] AW Shen, JL Guo, and ZJ Wang. Analysis of the influence of advanced materials for aerospace products r&d and manufacturing cost. In IOP Conference Series: Materials Science and Engineering, volume 103, page 012004. IOP Publishing, 2015.

      [10] Lance Taylor and Nelson H Barbosa-Filho. Inflation? it’s import prices and the labor share. Technical report, INET Working Paper,2021.

      [11] Susan R Poulter. Monte carlo simulation in environmental risk assessment–science, policy and legal issues. Risk, 9:7, 1998.

      [12] Steven Si, Shaker A Zahra, Xiaobo Wu, and Don Jyh-Fu Jeng. Disruptive innovation and entrepreneurship in emerging economics. Journal of Engineering and Technology Management, 58:101601, 2020.




Article ID: 31523
DOI: 10.14419/ijet.v10i2.31523

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