Formation of condition severity index of the industrial-building systems

Authors

  • Ольга Михайловна Залунина Kremenchuk Mykhailo Ostrohradskyi National University, Str. Pershotravneva, 20, Kremenchuk, Ukraine, 39600, Ukraine https://orcid.org/0000-0002-7478-4528

DOI:

https://doi.org/10.15587/2312-8372.2016.65971

Keywords:

building industry, building complex, severity index, building

Abstract

This article discusses the formation of the index, which reflects the financial feasibility of investing funds in the building projects. The main aim of the study is improving efficiency of the strategic plans for the development of the building sector in Ukraine by the research of algorithm to optimize the building industry management.

In this paper the author suggested the formation of condition severity index of the building sector.

Indexes characterizing the condition of the building system are used as the vector components. Two approaches are considered. In the first approach, it is established assessment of the severity (crisis) condition by experienced professionals and the selection of the weighting coefficients of the scalar function is carried out in accordance with the selected point scale.

In the second approach, variation of severity index is approximated by time based on model representations about the mechanism of the investigated process and the selection of coefficients is carried out in accordance with the selected model. The results of their quantitative comparison are given.

The author’s approach to the index formation allows coordinating investment in the building projects.

The feasibility of the proposed severity index is favorable to the decision-making stage of planning to invest in the building projects.

The author’s crisis intensity index allows determining the range of management and production changes that would lead to a reduction in costs.

Author Biography

Ольга Михайловна Залунина, Kremenchuk Mykhailo Ostrohradskyi National University, Str. Pershotravneva, 20, Kremenchuk, Ukraine, 39600

Candidate of Technical Sciences, Associate Professor

Department of Management

 

References

  1. Tsehayae, A. А., Fayek, A. R. (2016). System model for analysing construction labour productivity. Construction Innovation, Vol. 16, № 2, 38–42. doi:10.1108/ci-07-2015-0040
  2. Bonfiglioli, A., Gancia, G. (2014, January). Economic Uncertainty and Structural Reforms. Review of Economic Dynamics, Vol. 17, № 1, 21–38. doi:10.1016/j.red.2013.03.001
  3. Boz, E., Mendoza, E. G. (2014). Financial Innovation, the Discovery of Risk, and the U.S. Credit Crisis. Journal of Monetary Economics, Vol. 62, № 1, 1–22.
  4. Chatterjee, S., Eyigungor, B. (2015, April). A quantitative analysis of the U.S. housing and mortgage markets and the foreclosure crisis. Review of Economic Dynamics, Vol. 18, № 2, 165–184. doi:10.1016/j.red.2015.02.004
  5. Gledson, B. J. (2016). Hybrid project delivery processes observed in constructor BIM innovation adoption. Construction Innovation, Vol. 16, № 2, 229–246. doi:10.1108/ci-04-2015-0020
  6. Asaul, A. N. (1997). Servisnaia kontseptsiia marketinga v stroitel'stve. Ekonomika stroitel'stva, 10, 121.
  7. Borisova, A. A. (2000). Delovaia aktivnost' v stroitel'stve. Ekonomika stroitel'stva, 7, 32.
  8. Bushuev, B. S. (1991). Ispol'zovanie zarubezhnogo opyta pri formirovanii novyh ekonomicheskih struktur i rynka v stroitel'stve. Ekonomika stroitel'stva, 11, 111.
  9. Gorbunov, A. A., Ivanov, S. N., Asaul, A. N. (1999). Formirovanie regional'nyh stroitel'nyh kompleksov v tranzitivnoi ekonomike. Saint Petersburg, 213.
  10. Donichev, O. A., Reingol'd, E. A. (2000). Investirovanie zhilishchnogo stroitel'stva. Ekonomist, 4, 57–59.
  11. Blank, I. A. (2001). Investitsionnyi menedzhment. Kyiv: MP «ITEM», LTD, «Iunitreid», London: «Treid Limeted», 488.
  12. In: Spirin, A. A., Bashina, O. E. (1994). Obshchaia teoriia statistiki: Statisticheskaia metodologiia v izuchenii kommercheskoi deiatel'nosti. Moscow: Finansy i statistika, 542.
  13. Piters, T., Uoterman, R. V. (1986). V poiskah effektivnogo upravleniia. Moscow: Progress, 424.
  14. Yakunenko, N., Mel'man, A. (1995). Potrebitel'skii rynok Ukrainy. Osnovy marketinga. Biznes ekskliuziv, 2, 43–49.
  15. Pogozhev, I. B., Shpak, V. A. (1982). Postroenie sostoiatel'nyh obobshchennyh pokazatelei metodom naimen'shih kvadratov. Metody fizicheskih izmerenii parametrov ekologicheskih sistem i matematicheskaia obrabotka poluchennyh dannyh. Novosibirsk, 62–71.
  16. Rosenblatt, F. (1965). Principles of neurodynamics. Translation from English. Moscow: Mir, 123.
  17. Zhukovskaia, V. M., Muchnik, I. B. (1976). Faktornyi analiz v sotsial'no-ekonomicheskih issledovaniiah. Moscow: Statistika, 152.
  18. Anichkina, V. A., Karminskii, A. M., Pogozhev, I. B. (1974). Analiz uslovii, opredeliaiushchih vybor srednego vzveshennogo geometricheskogo pokazatelia dlia kompleksnoi otsenki kachestva i nadezhnosti izdelii. Nadezhnost' i kontrol' kachestva, 8, 18–25.
  19. Gol'shtein, E. G., Tret'iakov, N. V. (1989). Modifitsirovannye funktsii Lagranzha. Teoriia i metody optimizatsii. Moscow: Nauka, 400.
  20. Soshnikova, L. A., Tamashevich, V. N., Uebe, G., Shefer, M.; In: Tamashevich, V. N. (1999). Mnogomernyi statisticheskii analiz v ekonomike. Moscow: YuNITI-DANA, 598.
  21. Kolemaev, V. A. et al. (1991). Teoriia veroiatnostei i matematicheskaia statistika. Moscow: VSh, 400.
  22. Zalunina, О. М. (2014). Role of Target Indicators in Determination of Prognostic Estimates for the Construction Industry. Business Inform, 3, 160–165.
  23. Zalunina, О. М. (2014). Construction of aggregates of features of the building complex of the territory for conceptual grouping scheme. Eastern-European Journal Of Enterprise Technologies, 4(3(70)), 29–33. doi:10.15587/1729-4061.2014.26278
  24. Zalunina, O. M. (2014). Postroenie kontseptual'noi shemy gruppirovki oblastei Ukrainy po makroekonomicheskim parametram v stroitel'nom sektore. Problemy ekonomiki, 4, 91–96.
  25. Zalunina, О. М. (2015). The economic dimension of management decisions in the building industry. ScienceRise, 9(1(14)), 42–46. doi:10.15587/2313-8416.2015.50512
  26. Zalunina, О. М. (2015). Determine the relationship of industries related to regional development. Technology Audit And Production Reserves, 1(7(21)), 8–12. doi:10.15587/2312-8372.2015.38434
  27. Zalunina, О. М. (2016). Formation of optimal production scale of building materials. Technology Audit And Production Reserves, 1(3(27)), 45–49. doi:10.15587/2312-8372.2016.60447

Published

2016-03-29

How to Cite

Залунина, О. М. (2016). Formation of condition severity index of the industrial-building systems. Technology Audit and Production Reserves, 2(5(28), 38–42. https://doi.org/10.15587/2312-8372.2016.65971

Issue

Section

Economics and Enterprise Management: Original Research