TECHNICAL MECHANICS
ISSN (Print): 1561-9184, ISSN (Online): 2616-6380

English
Russian
Ukrainian
Home > Journal Issues > ¹ 1 (2018) Technical mechanics > 8
___________________________________________________

UDC 629.78

Technical mechanics, 2018, 1, 84 - 96

ON A METHODOLOGICAL APPROACH TO THE PROBLEM OF QUANTITATIVE RISK ASSESSMENT FOR SPACE HARDWARE DEVELOPMENT PROJECTS (PART I)

DOI: https://doi.org/10.15407/itm2018.01.084

Alpatov A. P., Marchenko V. T., Khorolskyi P. P., Sazina N. P., Zhukova L. H.

      ABOUT THE AUTHORS

Alpatov A. P.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
Ukraine

Marchenko V. T.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
Ukraine

Khorolskyi P. P.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
Ukraine

Sazina N. P.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
Ukraine

Zhukova L. H.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
Ukraine

      ABSTRACT

      The aim of this work is to construct a theoretical basis for the development of methods, algorithms, and software for quantitative assessment of new space hardware development project risks that are due to uncertainty factors. The presented methodological approach to quantitative risk assessment is a synthesis of mathematical uncertainty modeling and simulation modeling, the former being constructed on the basis of the fuzzy set theory, the possibility theory, and time series forecasting methods.
      This part of the paper (Part I) presents a general theory for quantitative assessment of space hardware devel-opment project risks and theoretical basics for retrospective source data uncertainty modeling by counterpart products.
      A practical implementation of the presented results will make it possible to significantly improve the quality of the feasibility study of new home space hardware development projects. Pdf (English)







      KEYWORDS

explosion, droplet cloud, droplet, propellant component, launch vehicle

      FULL TEXT:

Pdf (English)









      REFERENCES

1. Briukhovetskaia N. E., Pedersen I. A. Study of the nature of an innovation risk and approaches to its assessment. Mekhanizm Rehuliuvannia Ekonimiky. 2011. No. 3. Pp. 64-70. (in Russian).

2. Bykov A. A. On problems in the development of risk assessment methods. Problemy Analiza Riskov. 2008. V. 5, No. 2. Pp. 4-7. (in Russian).

3. Bykov A. A., Porfiriev B. N. On risk analysis, concepts, and classification. Problemy Analiza Riskov. 2006. No. 4. Pp. 319-337. (in Russian).

4. Lavrinov G. A., Podolsky A. G. Content of the notions of uncertainty and risk in the preparation and implementation of weapon and military equipment development plans. Vooruzheniye i Ekonomika. 2010. No. 1 (9). Pp. 53-59. (in Russian).

5. Lutay A. N. Risk assessment for a project on the development of a new aeronautical product using a case-based approach. Aviatsionno-Kosmicheskaya Tekhnika i Tekhnologiya. 2010. No. 5 (72). Pp. 105-112. (in Russian).

6. Latkin M. A., IlyushkoV. M. Project duration and cost assessment with account for the adverse effect of risks. Aviatsionno-Kosmicheskaya Tekhnika i Tekhnologiya. 2008. No.3 (50). Pp.. 94-98. (in Russian).

7. Spitsin A. G., Lavrinov A. G., Khmelevoy V. V. Risk analysis in aeronautical hardware design. Vooruzheniye i Ekonomika. 2011. No. 3 (15). Pp. 35-44. (in Russian).

8. Preliminary design of the "Sich-2M Spacecraft" development project, Explanatory report. Part 11. Techno-economic indices of the making of the spacecraft and the ground-based equipment. Yuzhnoye State Design Office. 2017. (Office Number 311/1096 of March 2, 2017). (in Russian).

9. Pylypenko O. V., Pereverzev E. S., Alpatov A. P., Marchenko V.T.,Pechenevskaia O. K., Khorolsky P. P. Efficiency of Scientific and Technical Projects and Programs. Dnipropetrovsk: Porogi, 2008. 509 pp. (in Russian).

10. Marchenko V. T., Petlyak E. P., Sazina N. P., Khorolsky P. P. New method of engineering evaluation of spacecraft for Earth remote sensing. Teh. Meh. 2017. No.2. Pp. 41-50. (in Russian). https://doi.org/10.15407/itm2017.02.041

11. Vartanyan V. M., Revenko D. S., Lyba V. A. Uncertainty in economic processes: emergence factors and description methods. Ekonomika ta Upravlinnia Pidpryiemstvamy Mashynobudivnoi Haluzi: Problemy Teorii ta Praktyky. 2009. No. 2 (6). Pp. 4-12. (in Russian).

12. Alpatov A. P., Marchenko V. T., Sazina N. P., Khorolsky P. P. Methodological approach to technical and economic feasibility of projects for new space technology products. Teh. Meh. 2015. No. 3. Pp. 3-17. (in Russian).

13. Alpatov A. P., Marchenko V. T., Khorolskyi P. P., Sazina N. P. Methodology for financial and economic feasibility of conceptual problems in rocket-space industry. Kosm. Nauka Tehnol. 2014. V. 20, No. 6 (91). Pp. 49-59. (in Ukrainian). https://doi.org/10.15407/knit2014.06.049

14. Turko D. A. Accounting for uncertainty and risk conditions in the process of decision making in science-intensive high-technology production. Otkrytye Informarmatsionnye i Kompyurernye Tekhnologii. 2009. No. 43. Pp. 180-187. (in Russian).

15. Emelyanov A. A., Vlasova E. A., Duma R. V. Simulation Modeling of Economic Processes: Manual. Moscow: Finansy i Statistika, 2002. 368 pp. (in Russian).

16. Khakhulin G. F. Basics of Simulation Model Construction: Manual. Moscow.: NTK Potok, 2002. 222 pp. (in Russian).

17. Smolyak S. A. Investment Project Efficiency Assessment in Risk and Uncertainty Conditions. Expected Benefit Theory. Moscow: Nauka, 2002. 181 pp. (in Russian).

18. Savilov S. I. Problems in accounting for integral uncertainty in investment project efficiency assessment in the nonstationary Russian economy. Natsionalnye Interesy: Prioritety i Bezopasnost. 2015. No. 30. Pp. 48-47. (in Russian).

19. Zak Yu. A. Decision Making under Fuzzy Conditions: Fuzzy-Technologies. Moscow: Knizhny Dom LIBROKOM, 2013. 352 pp. (in Russian).

20. Shtovba S. D. Introduction to Fuzzy Set Theory and Fuzzy Logic. URL: http://matlab.exponenta.ru/ fuzzylogic/index.php. (in Russian).

21. Dubois D., Prade H. Possibility Theory. Applications to Knowledge Representation in Computer Science. Moscow: Radio i Svyaz, 1990. 288 pp. (in Russian).

22. Pytyev Yu. P. Possibility Theory Elements and Applications. Moscow: Editorial URSS, 2000. 192 pp. (in Russian).

23. Pytyev Yu. P. On stochastic possibility modules. Intellektualnye Sistemy. 2001. V. 6, Iss. 1-4. Pp. 25-62. (in Russian).

24. LarichevV. N. Decision Making Theory and Methods. Moscow: Logos, 2000. 296 pp. (in Russian).

25. Gritsyuk S. N., Mirzoeva E. V., Lysenko V. V. Mathematical Methods and Models in Economics: Manual. Rostov-on-Don: Feniks, 2007. 348 pp. (in Russian).

26. Marchenko V. T., Syutkina-Doronina S. V., Sazina N. P. On the method of simulation of uncertainties of technical and economical data for problems of evaluation of research projects. Teh. Meh. 2016. No. 2. Pp. 137-146. (in Russian).





DOI: https://doi.org/10.15407/itm2018.01.084

Copyright (©) 2018 Alpatov A. P., Marchenko V. T., Khorolskyi P. P., Sazina N. P., Zhukova L. H.

Copyright © 2014-2018 Technical mechanics


____________________________________________________________________________________________________________________________
GUIDE
FOR AUTHORS
Guide for Authors