Formation of condition severity index of the industrial-building systems
DOI:
https://doi.org/10.15587/2312-8372.2016.65971Keywords:
building industry, building complex, severity index, buildingAbstract
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.
References
- 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
- 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
- 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.
- 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
- 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
- Asaul, A. N. (1997). Servisnaia kontseptsiia marketinga v stroitel'stve. Ekonomika stroitel'stva, 10, 121.
- Borisova, A. A. (2000). Delovaia aktivnost' v stroitel'stve. Ekonomika stroitel'stva, 7, 32.
- Bushuev, B. S. (1991). Ispol'zovanie zarubezhnogo opyta pri formirovanii novyh ekonomicheskih struktur i rynka v stroitel'stve. Ekonomika stroitel'stva, 11, 111.
- Gorbunov, A. A., Ivanov, S. N., Asaul, A. N. (1999). Formirovanie regional'nyh stroitel'nyh kompleksov v tranzitivnoi ekonomike. Saint Petersburg, 213.
- Donichev, O. A., Reingol'd, E. A. (2000). Investirovanie zhilishchnogo stroitel'stva. Ekonomist, 4, 57–59.
- Blank, I. A. (2001). Investitsionnyi menedzhment. Kyiv: MP «ITEM», LTD, «Iunitreid», London: «Treid Limeted», 488.
- In: Spirin, A. A., Bashina, O. E. (1994). Obshchaia teoriia statistiki: Statisticheskaia metodologiia v izuchenii kommercheskoi deiatel'nosti. Moscow: Finansy i statistika, 542.
- Piters, T., Uoterman, R. V. (1986). V poiskah effektivnogo upravleniia. Moscow: Progress, 424.
- Yakunenko, N., Mel'man, A. (1995). Potrebitel'skii rynok Ukrainy. Osnovy marketinga. Biznes ekskliuziv, 2, 43–49.
- 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.
- Rosenblatt, F. (1965). Principles of neurodynamics. Translation from English. Moscow: Mir, 123.
- Zhukovskaia, V. M., Muchnik, I. B. (1976). Faktornyi analiz v sotsial'no-ekonomicheskih issledovaniiah. Moscow: Statistika, 152.
- 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.
- Gol'shtein, E. G., Tret'iakov, N. V. (1989). Modifitsirovannye funktsii Lagranzha. Teoriia i metody optimizatsii. Moscow: Nauka, 400.
- Soshnikova, L. A., Tamashevich, V. N., Uebe, G., Shefer, M.; In: Tamashevich, V. N. (1999). Mnogomernyi statisticheskii analiz v ekonomike. Moscow: YuNITI-DANA, 598.
- Kolemaev, V. A. et al. (1991). Teoriia veroiatnostei i matematicheskaia statistika. Moscow: VSh, 400.
- Zalunina, О. М. (2014). Role of Target Indicators in Determination of Prognostic Estimates for the Construction Industry. Business Inform, 3, 160–165.
- 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
- Zalunina, O. M. (2014). Postroenie kontseptual'noi shemy gruppirovki oblastei Ukrainy po makroekonomicheskim parametram v stroitel'nom sektore. Problemy ekonomiki, 4, 91–96.
- 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
- 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
- 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
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Ольга Михайловна Залунина
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.