Transport construction cost management by rational organizational and technological solutions

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.205117

Keywords:

construction of transport facilities, organizational and technological solutions, numerical optimization.

Abstract

Special conditions of implementation of construction projects of transport facilities show that cost management requires appropriate optimization of organizational and technological solutions. The computer model and method for selecting optimal management by the criterion of construction cost minimization are developed. The model shows the organizational and technological variability of the enterprise, characteristic of transport construction. The method allows to carry out variant modeling, according to which the patterns of changes in the construction cost, the ratio of direct and general production costs are compiled under the influence of the following factors: average complexity of the project totality, average relocation distance, attribution of resources, industrialization of applied solutions.

The numerical experimental studies quantitatively proved that organizational and technological solutions characteristic of the enterprise as a whole affect the solutions of individual construction projects of transport facilities. In particular, it was found that with a decrease in the average complexity of the project totality, the influence of industrialization of applied solutions is reversed and begins to increase the cost of works.

The lowest value of cost change (–13.6 %) was found, characterized by the most effective organizational and technological solutions: the average complexity of the project totality X1=2.2 thousand hours, the average relocation distance Х2=100 km, using only own equipment and labor resources (Х3=0 %), minimal industrialization of applied solutions (Х4=0 %).

It was revealed that contracting organizations building relatively small transport facilities should use traditional methods of work. The cost efficiency of solutions, according to which enterprises constructing geographically dispersed facilities should use contracted resources with local material and technical base was also determined.

Author Biographies

Oleksandr Meneylyuk, Odessa State Academy of Civil Engineering and Architecture Didrikhsona str., Odessa, Ukraine, 65029

Doctor of Technical Sciences, Professor

Department of Technology of Building Industry

Aleksey Nikiforov, Odessa State Academy of Civil Engineering and Architecture Didrikhsona str., Odessa, Ukraine, 65029

PhD

Department of Technology of Building Industry

Ivan Meneylyuk, Kharkiv National University of Civil Engineering and Architecture Sumska str., 40, Kharkiv, Ukraine, 61002

PhD

Department of Technology of Building Industry

References

  1. Barakchi, M., Torp, O., Belay, A. M. (2017). Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review. Procedia Engineering, 196, 270–277. doi: https://doi.org/10.1016/j.proeng.2017.07.199
  2. Bonfatti, R., Poelhekke, S. (2017). From mine to coast: Transport infrastructure and the direction of trade in developing countries. Journal of Development Economics, 127, 91–108. doi: https://doi.org/10.1016/j.jdeveco.2017.03.004
  3. Meersman, H., Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5 (2), 316–324. doi: https://doi.org/10.1016/j.cstp.2017.03.009
  4. Melo, P. C., Graham, D. J., Brage-Ardao, R. (2013). The productivity of transport infrastructure investment: A meta-analysis of empirical evidence. Regional Science and Urban Economics, 43 (5), 695–706. doi: https://doi.org/10.1016/j.regsciurbeco.2013.05.002
  5. Meneylyuk, A., Ershov, M., Nikiforov, A., Meneylyuk, I. (2016). Optimizatsiya organizatsionno-tehnologicheskih resheniy rekonstruktsii vysotnyh inzhenernyh sooruzheniy. Kyiv: TOV NVP "Interservis", 332.
  6. Meneylyuk, A., Lobakova, L. (2015). Vybor effektivnyh modeley finansirovaniya i organizatsii rabot po pereprofilirovaniyu zdaniy. Stroitel'noe proizvodstvo, 59, 55–61. Available at: https://ndibv.kiev.ua/wp-content/uploads/2016/09/BV-59_Meneiluk_Lobakova.pdf
  7. Kopiec, A. C., Siguencia, L. O., Szostak, Z. G., Marzano, G. (2019). Transport infrastructures expenditures and costs analysis: The case of Poland. Procedia Computer Science, 149, 508–514. doi: https://doi.org/10.1016/j.procs.2019.01.169
  8. Donenko, V. (2012). Naukovo-prykladnyi instrumentarii ratsionalizatsiyi parametriv adaptyvnoho rozvytku budivelnykh orhanizatsiy. Budivelne vyrobnytstvo, 54, 12–17. Available at: https://ndibv.kiev.ua/wp-content/uploads/2016/07/BV-54_Donenko.pdf
  9. Mlodetskiy, V. R. (2015). Information flows in the organizational structure. Visnyk Prydniprovskoi derzhavnoi akademii budivnytstva ta arkhitektury, 7-8 (209), 111–121. Available at: http://visnyk.pgasa.dp.ua/article/view/51259/47069
  10. Appelbaum, D., Kogan, A., Vasarhelyi, M., Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. doi: https://doi.org/10.1016/j.accinf.2017.03.003
  11. Kumar, R., Vrat, P. (1989). Using computer models in corporate planning. Long Range Planning, 22 (2), 114–120. doi: https://doi.org/10.1016/0024-6301(89)90130-1
  12. Sikorová, E., Meixnerová, L., Menšík, M., Pászto, V. (2015). Descriptive Analysis and Spatial Projection of Performance among the Small and Middle Enterprises in the Olomouc Region in the Czech Republic in the Context of Accounting and Tax Legislation. Procedia Economics and Finance, 34, 528–534. doi: https://doi.org/10.1016/s2212-5671(15)01664-0
  13. Campbell, G.K. (Ed.) (2014). The Manager’s Handbook for Business Security. Elsevier, 296. doi: https://doi.org/10.1016/c2013-0-15978-8
  14. Ma, T., Guo, J. (2018). Study on information transmission model of enterprise informal organizations based on the hypernetwork. Chinese Journal of Physics, 56 (5), 2424–2438. doi: https://doi.org/10.1016/j.cjph.2018.06.018
  15. Martinez-Araiza, U., López-Mellado, E. (2016). CTL Model Repair for Inter-organizational Business Processes Modelled as oWFN. IFAC-PapersOnLine, 49 (2), 6–11. doi: https://doi.org/10.1016/j.ifacol.2016.03.002
  16. Ricciardi, F., Zardini, A., Rossignoli, C. (2016). Organizational dynamism and adaptive business model innovation: The triple paradox configuration. Journal of Business Research, 69 (11), 5487–5493. doi: https://doi.org/10.1016/j.jbusres.2016.04.154
  17. Meneylyuk, A., Chernov, I., Lobakova, L. (2014). Vybor effektivnyh modeley realizatsii proektov v usloviyah izmenyayushcheysya finansovoy situatsii. Visnyk Natsionalnoho tekhnichnoho universytetu "KhPI". Seriya: Stratehichne upravlinnia, upravlinnia portfeliamy, prohramamy ta proektamy, 2 (1045), 71–75. Available at: http://nbuv.gov.ua/UJRN/vntux_ctr_2014_2_13
  18. Nikiforo, A. L., Menejlju, I. A. (2016). Efficient reconstruction of engineering buildings in conditions of organizational constraints. Automation of Technological and Business Processes, 8 (1), 60–65. doi: https://doi.org/10.21691/atbp.v8i1.24
  19. Bose, R., Соnnо, W. (1960). Analysis of fractionally replicated 2"’-3” designs. Bull. L’lnst. Intern. Stat., 37, 141–160.
  20. Сох, D. (1958). Planning of Experiments. John Wiley, 320.
  21. Kalmus, H. (1952). The Design and Analysis of Experiments. By Oscar Kempthorne. New York. Annals of Eugenics, 17 (1), 96–97. doi: https://doi.org/10.1111/j.1469-1809.1952.tb02500.x
  22. Brodskiy, V. Z., Brodskiy, L. I., Golikova, T. I., Nikitina, E. P., Panchenko, L. A. (1982). Tablitsy planov eksperimenta. Dlya faktornyh i polinomial'nyh modeley. Moscow: Metallurgiya, 753. Available at: https://www.twirpx.com/file/789483/

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Published

2020-06-30

How to Cite

Meneylyuk, O., Nikiforov, A., & Meneylyuk, I. (2020). Transport construction cost management by rational organizational and technological solutions. Eastern-European Journal of Enterprise Technologies, 3(3 (105), 16–24. https://doi.org/10.15587/1729-4061.2020.205117

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Section

Control processes