Building a model for managing the cost and duration of motor road projects
Keywords:cost and duration management, maintenance project, long-term maintenance, management model, silver triangle
This paper considers the processes of cost management and the duration of road maintenance projects. A conceptual model is proposed to describe the relationship between time, cost, and quality of projects, which is based on the theory of the «silver triangle». Based on the results of studying the influence of factors, a model has been built for determining the cost and duration of road maintenance projects. Multiple optimization approaches to the components of the «silver triangle» of projects were used. The model constructed at the stage of initiating projects for the maintenance of roads, in contrast to the previous ones, is based on the pre-project level of quality indicators.
Owing to the introduction of additional parameters and coefficients, the proposed model of cost management, quality, and duration of road projects was calibrated. The model graph was constructed and optimization was carried out on the example of a long-term road operation project. The algorithm of application of cost and duration management model of highway projects under conditions of uncertainty has been developed, which was checked for adequacy at an estimated error of about 3 %. This makes it possible to assert the effectiveness of the devised model for solving tasks related to project management for maintenance.
The model was used to perform calculations based on a real example of the project, which showed that the optimization of the parameters of long-term contracts for the maintenance of highways produces a multiplier effect. This is expressed by reducing the administrative costs of the customer, reducing the responsibility of road services, creating prerequisites for stable financing of road works, the satisfaction of road users, and building strong partnerships between the customer and contractor
- Piryonesi, S. M., El-Diraby, T. E. (2020). Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems. Journal of Transportation Engineering, Part B: Pavements, 146 (2), 04020022. doi: https://doi.org/10.1061/jpeodx.0000175
- Le, C., Jeong, H. D., Damnjanovic, I. (2021). Network Theory–Driven Construction Logic Knowledge Network: Process Modeling and Application in Highway Projects. Journal of Construction Engineering and Management, 147 (10), 04021114. doi: https://doi.org/10.1061/(asce)co.1943-7862.0002143
- Haghighi, M. H., Mousavi, S. M., Antuchevičienė, J., Mohagheghi, V. (2019). A new analytical methodology to handle time-cost trade-off problem with considering quality loss cost under interval-valued fuzzy uncertainty. Technological and Economic Development of Economy, 25 (2), 277–299. doi: https://doi.org/10.3846/tede.2019.8422
- Bai, Q., Miralinaghi, M., Labi, S., Sinha, K. C. (2020). Methodology for analyzing the trade‐offs associated with multi‐objective optimization in transportation asset management under uncertainty. Computer-Aided Civil and Infrastructure Engineering, 36 (4), 381–401. doi: https://doi.org/10.1111/mice.12637
- Luo, X., Wang, F., Wang, N., Qiu, X., Amini, F., Tao, J. (2020). Factor analysis of maintenance decisions for warranty pavement projects using mixed-effects logistic regression. International Journal of Pavement Engineering, 23 (3), 683–694. doi: https://doi.org/10.1080/10298436.2020.1766039
- Qiao, Y., Saeed, T. U., Chen, S., Nateghi, R., Labi, S. (2018). Acquiring insights into infrastructure repair policy using discrete choice models. Transportation Research Part A: Policy and Practice, 113, 491–508. doi: https://doi.org/10.1016/j.tra.2018.04.020
- Barnes, M. (2007). Some origins of modern project management A personal history. PM World Today, II (XI). Available at: https://pmworldlibrary.net/wp-content/uploads/2018/11/Nov2007-Barnes-history-of-modern-project-management.pdf
- San Cristóbal, J. R., Carral, L., Diaz, E., Fraguela, J. A., Iglesias, G. (2018). Complexity and Project Management: A General Overview. Complexity, 2018, 1–10. doi: https://doi.org/10.1155/2018/4891286
- Zheng, D. X. M., Ng, S. T. (2005). Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front. Journal of Construction Engineering and Management, 131 (2), 176–186. doi: https://doi.org/10.1061/(asce)0733-9364(2005)131:2(176)
- Harrison, F., Lock, D. (2017). Advanced project management: a structured approach. Routledge, 336. doi: https://doi.org/10.4324/9781315263328
- Wright, A., Lawlor-Wright, T. (2018). Project Success and Quality. Balancing the Iron Triangle. Routledge, 218. doi: https://doi.org/10.4324/9781351213271
- Harchenko, A. M., Zavorotniy, S. M., Cybul's'kiy, V. M. (2021). Informaciyna model' upravlinnya vartistyu, tryvalistyu ta yakistyu proektiv z ekspluataciynogo utrymannya dorig. Technical sciences: the analysis of trends and development prospects. doi: https://doi.org/10.30525/978-9934-26-109-1-4
- Kharchenko, A., Zaviyskyy, O., Tsybulskyi, V., Zavorotnyi, S. (2021). Development of methods for parameters of long-term contracts optimization for operational road maintenance. Technology Audit and Production Reserves, 1 (2 (57)), 49–53. doi: https://doi.org/10.15587/2706-5448.2021.225532
- Zavorotnyi, S. M. (2019). Algorithm justification of dependence "time-cost-quality" into long-term contracts with maintenance of roads. Automobile roads and road construction, 106, 87–96. Available at: http://publications.ntu.edu.ua/avtodorogi_i_stroitelstvo/106/87.pdf
- Magalhães-Mendes, J. (2015). Multiobjective Genetic Algorithm-Based for Time-Cost Optimization. New Developments in Pure and Applied Mathematics, 88–95. Available at: http://www.inase.org/library/2015/vienna/bypaper/MAPUR/MAPUR-12.pdf
How to Cite
Copyright (c) 2022 Anna Kharchenko, Vitalii Tsybulskyi, Oleksandr Chechuha, Sergei Zavorotnii, Ivan Shuliak
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.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with PC TECHNOLOGY CENTER, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher PC TECHNOLOGY CENTER does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.