214
J. Konior and M. Szóstak
schedule until they reach 80%; this is evidenced by the much greater slope of the
actual cumulative cost curve towards the time axis.
6 Summing up
The simplest possible models for determining the course of the cumulative construction costs and time curves has been presented in the paper. Practical and easy-touse model because developed as a result of its own measurements of increasing
processing and cost values in cyclical, consistent, verified audit reports of the Banking
Investment Supervision.
The Earned Value Method is a simple tool that allows a researcher to monitor
the implementation of the schedule and the use of the budget. Several indicators
based on scope, timing and cost information can be analysed for the progress of the
project, interpret scales, causes and consequences of deviations, as well as estimate
the further implementation, including the accurate estimation to complete the project
within the budget and the deadline [14].
A reasonable, acceptable level of time and cost variance assessed by EVM
approach as a result of BIS analysis for a Bank positive financing cannot be more
than 1/5 of the average deviation appraised at each stage EPCM of a BIS project
monitoring.
References
1. Konior J (2018) Feasibility study of construction project in compliance with bank investment
supervision requirements. J. Civ. Eng. Arch. 12:831–837
2. Konior J (2019) Monitoring of construction projects feasibility by bank investment supervision
approach. Civ. Eng. Arch. 7:31–35
3. Konior J (2017) Significance risks evaluation of commercial construction projects. Archiv. Civ.
Eng. 65(2):19–33
4. Konior J, Szóstak M (2020) The S-curve as a tool for planning and controlling of construction
process—case study. Appl. Sci. 10:2071
5. Multi—Author Work, PM Group Polska sp. z o.o. 2006–2015 and 3EPCM sp. z o.o. 2016–2019,
initial, monthly, close-out reporting of bank investment supervision (2020)
6. Cristóbal JRS (2017) The S-curve envelope as a tool for monitoring and control of projects.
Proc. Comp. Sci. 121:756–761
7. Konior J, Szóstak M (2020) Methodology of planning the course of the cumulative cost curve
in construction projects. Sustainability 12:2347
8. Kapli´ nski O, Konior J (2007) Analytical methods and models in the building project
engineering. PAN 249–284
9. Czarnigowska A (2008) Earned value method as a tool for project control. Bud. Archit. 3:15–32
10. Czemplik A (2014) Application of earned value method to progress control of construction
projects. Proc. Eng. 91:424–428
11. Kozie´ n E (2017) Application of approximation technique to on-line updating of the actual cost
curve in the earned value method. Tech. Trans. 9:181–195
12. Przywara D, Rak A (2017) The time-cost analysis of schedule monitoring using the earned
value method. Tech. Trans. 5:57–66
J. Konior and M. Szóstak
schedule until they reach 80%; this is evidenced by the much greater slope of the
actual cumulative cost curve towards the time axis.
6 Summing up
The simplest possible models for determining the course of the cumulative construction costs and time curves has been presented in the paper. Practical and easy-touse model because developed as a result of its own measurements of increasing
processing and cost values in cyclical, consistent, verified audit reports of the Banking
Investment Supervision.
The Earned Value Method is a simple tool that allows a researcher to monitor
the implementation of the schedule and the use of the budget. Several indicators
based on scope, timing and cost information can be analysed for the progress of the
project, interpret scales, causes and consequences of deviations, as well as estimate
the further implementation, including the accurate estimation to complete the project
within the budget and the deadline [14].
A reasonable, acceptable level of time and cost variance assessed by EVM
approach as a result of BIS analysis for a Bank positive financing cannot be more
than 1/5 of the average deviation appraised at each stage EPCM of a BIS project
monitoring.
References
1. Konior J (2018) Feasibility study of construction project in compliance with bank investment
supervision requirements. J. Civ. Eng. Arch. 12:831–837
2. Konior J (2019) Monitoring of construction projects feasibility by bank investment supervision
approach. Civ. Eng. Arch. 7:31–35
3. Konior J (2017) Significance risks evaluation of commercial construction projects. Archiv. Civ.
Eng. 65(2):19–33
4. Konior J, Szóstak M (2020) The S-curve as a tool for planning and controlling of construction
process—case study. Appl. Sci. 10:2071
5. Multi—Author Work, PM Group Polska sp. z o.o. 2006–2015 and 3EPCM sp. z o.o. 2016–2019,
initial, monthly, close-out reporting of bank investment supervision (2020)
6. Cristóbal JRS (2017) The S-curve envelope as a tool for monitoring and control of projects.
Proc. Comp. Sci. 121:756–761
7. Konior J, Szóstak M (2020) Methodology of planning the course of the cumulative cost curve
in construction projects. Sustainability 12:2347
8. Kapli´ nski O, Konior J (2007) Analytical methods and models in the building project
engineering. PAN 249–284
9. Czarnigowska A (2008) Earned value method as a tool for project control. Bud. Archit. 3:15–32
10. Czemplik A (2014) Application of earned value method to progress control of construction
projects. Proc. Eng. 91:424–428
11. Kozie´ n E (2017) Application of approximation technique to on-line updating of the actual cost
curve in the earned value method. Tech. Trans. 9:181–195
12. Przywara D, Rak A (2017) The time-cost analysis of schedule monitoring using the earned
value method. Tech. Trans. 5:57–66