Aspects of Heuristic Method of Forming and Assessing the Plan of Contractor Works

Keywords: programme content of work experience programmes, leadership of the construction industry, work environment, chronology of the construction industry, minimum wage of resources conservation

Abstract

Background: In market conditions, approaches to planning construction operations have fundamentally changed, forcing construction companies to independently form production plans for contract work, seek financial resources and purchase means of production. Objective: Is to select and justify the optimal technology that are in good agreement with the level of information systems of construction companies. Methods: Studies have been carried out using general scientific methods - system analysis, logical and mathematical modeling, systems theory, as well as methods of operations research and economic and mathematical methods, economic-visual modeling, research methods of operations. Results: The necessity of reducing the problem of efficiency criteria and limitations to a system-target model based on the structure hierarchy of the system under study and the corresponding modeling of the reconstructed system of creating a sound statistical choice. Conclusion: The elements of multicriteria and system optimization methods, simulation modeling, etc. used in the formation of contract work plans do not allow obtaining rational decisions due to the lack of complete and reliable information. The whole process of planning, and especially the mechanism of annual (current) planning, has become much In this regard, it is advisable to use heuristic approaches.

Downloads

Download data is not yet available.

References

Arashpour, M., Wakefield, R., Abbasi, В., Lee E.W.M., & Minas J. (2016). Off-site construction optimization: Sequencing multiple job classes with time constraints. Automation in Construction 71, 262–270. DOI:10.1016/j.autcon.2016.08.001

Avisoa K.B., Mayolb A.P., Promentillaa M.A.B., Santosc J.R., Tana R.R., Ubandob A.T. & Yud K.D.S. (2018). Allocating human resources in organizations operating under crisis conditions: A fuzzy input-output optimization modeling framework.Resources, Conservation and Recycling128, 250–258. DOI:10.1016/j.resconrec.2016.07.009

Francis A. (2015). Graphical modelling classification for construction project scheduling.Procedia Engineering 123, 162 – 168.DOI:10.1016/j.proeng.2015.10.073

Garanin, D., Lukashevich, N., Efimenko, S., Chernorutsky, I., Barykin, S., Kazaryan, R., Buniak, V.& Parfenov,A. (2022).Front. Appl. Math. Stat., 06 January 2023Sec. Mathematics of Computation and Data Science Volume 8. https://doi.org/10.3389/fams.2022.1092156

Hejducki Z. & Łodożyński Ł. (2019). Scheduling construction works with established workforce cost budget.Acta Sci. Pol. Architectura 18 (2), 3–10. DOI:10.22630/ASPA.2019.18.2.16

Hejducki1 Z., Tzarenko A., Kamolov K., &Yurgaytis A. (2021). Planning of labor resources in construction organizations.E3S Web of Conferences 263, 04058. DOI:10.1051/e3sconf/202126304058

Kazaryan R.(2021a). The Problem of a Rational Relationship of the General Transport Infrastructure.Proceedings of the XIII International Scientific Conference on Architecture and Construction 2020, LNCE 130, 33-39. DOI:10.1007/978-981-33-6208-6_4

Kazaryan R.(2021b). The Concept of Development of the Integrated Transport System of the Russian Federation. Transportation Research Procedia, Volume 54, 602-609. DOI:10.1016/j.trpro.2021.02.112

Krzeminski M. (2017). The scheduling of construction work under the assumption of brigade multitasking. Procedia Engineering 208, 63–68. DOI:10.1016/j.proeng.2017.11.021

Krzeminski, M. (2016). Chosen criteria of construction schedule evaluation. Procedia Engineering153,345 – 348. DOI:10.1016/j.proeng.2016.08.125

Markou Ch., KoulinasG. & Vavatsikos A. (2017). Project resources scheduling and leveling using Multi-Attribute Decision Models: Models implementation and case study.Expert Systems with Applications 77, 160–169. DOI:10.1016/j.eswa.2017.01.035

Mohammed S., El-Abbasy, Elazouni, A.& Zayed, T.(2016). MOSCOPEA: Multi-objective construction scheduling optimization using elitist non-dominated sorting genetic algorithm.Automation in Construction 71,153–170. DOI:10.1080/00207543.2014.957872

Oleinik, P. & Yurgaytis, A. (2017). Optimization of the annual construction program solutions.MATEC Web of Conferences117, 00130. DOI:10.1051/matecconf/201711700130

Oleinik, P. &Yurgaytis, A. (2020). Optimization of the construction organization’s work plans by loading production units.E3S Web of Conferences 175, 11016.DOI:10.1051/e3sconf/202017511016

Podolski M.(2021). Management of resources in multiunit construction projects with the use of a TABU search algorithm. Journal of Civil Engineering and Management, 23:2, 263- 272.DOI:10.3846/13923730.2015.1073616

Pournader, M., Tabassi, A.A.& Baloh, P. (2015). A three-step design science approach to develop a novel human resource-planning framework in projects: the cases of construction projects in USA, Europe, and Iran.International Journal of Project Management 33, 419–434. DOI:10.1016/j.ijproman.2014.06.009

Su,Y. & Lucko. G. (2016). Linear scheduling with multiple crews based on line-of-balance and productivity scheduling method with singularity functions.Automation in Construction 70,38–50. DOI:10.1016/j.autcon.2016.05.011

Venkrbec V., Galić M. & Klanšek U. (2018). Construction process optimization –review of methods, tools and applications. Građevinar 70 (7), 593-606. DOI:10.14256/JCE.1719.2016
Published
2023-12-16
How to Cite
Oleynik, P., Kazaryan, R., Doroshin, I., & Tregubova, E. B. (2023). Aspects of Heuristic Method of Forming and Assessing the Plan of Contractor Works. Journal of the University of Zulia , 15(42), 245-260. https://doi.org/10.46925//rdluz.42.14