Solving a stochastic time-cost-quality trade-off problemby meta-heuristic optimization algorithms

• Autorzy: Mohammadi Mohammad Owais , Dede Tayfun , Grzywiński Maksym

Identyfikatory

DOI

0.17512/bozpe.2022.11.05

• Języki publikacji: EN

Abstrakty

EN

Actual time, cost, and quality of execution options for various activities within a considered project cannot be certainly determined prior to construction, there could be three different values of time and cost for each execution option, namely, optimistic value, most likely or normal value, and pessimistic value; and the quality could be described in linguistic terms.The objective of this research is to optimize time, cost, and quality of construction projects under uncertainty utilizing the program evaluation and review technique. In this study, multi-objective functions are used to decrease total project time and total project cost whilemaximizing overall project quality. For satisfying time-cost-quality trade-off optimization, a multi-objective optimization strategy is required. The non-dominating sorting-II conceptand the crowding distance computation mechanism are combined with the teaching learning-based optimization algorithm to optimize time-cost-quality optimization problems. Non-dominating sorting-II teaching learning-based optimization algorithm is coded in MATLAB to optimize the trade-off between time, cost, and quality optimization problems. In the proposed model, the non-dominating sorting-II approach and crowding distance computationmechanism are responsible for handling objectives effectively and efficiently. Teaching learning-based optimization algorithm’s teacher and learner phases ensure that the searched solution space is explored and exploited. The proposed algorithm is applied to a 13-activity example problem, and the results show that it provides satisfactory results.

Słowa kluczowe

EN

stochastic time-cost-quality trade-off; non-dominating sorting-II; teaching-learning-based optimization

PL

stochastyczny kompromis czas-koszt-jakość; algorytmy optymalizacji; problemy optymalizacji

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Budownictwo o Zoptymalizowanym Potencjale Energetycznym
• Rocznik: 2022
• Tom: Vol. 11
• Strony: 41--48
• Opis fizyczny: Biblogr. 10 poz., rys., tab.

Twórcy

autor

Mohammadi Mohammad Owais

• Karadeniz Technical University, Turkey

• https://orcid.org/0000-0003-4147-4147

autor

Dede Tayfun

• Karadeniz Technical University, Turkey

• https://orcid.org/0000-0001-9672-2232

autor

Grzywiński Maksym

• Czestochowa University of Technology, Poland

• https://orcid.org/0000-0003-4345-3897

Bibliografia

• 1.Chinneck, J.W. (2009) Operations research and cyber-infrastructure. Tailoring classifier hyperplanesto general metrics. Springer, 365-387.
• 2.El Bassuony, M. (2016) Time-cost-quality trade-off analysis for construction projects. Master thesis. School of Sciences and Engineering, American University in Cairo.
• 3.El-Rayes, K. & Kandil, A. (2005) Time-cost-quality trade-off analysis for highway construction. Journal of Construction Engineering and Management, 131(4), 477-486.
• 4.Hegazy, T. (2002) Computer-Based Construction Project Management. Ontario, Prentice Hall.
• 5.Hinze, J. (2004) Construction planning and scheduling, New York, Pearson/Prentice Hall.
• 6.Patre, A.D. & Ugale, A.B. (2020) Indirect cost in construction project. Aegaeum Journal, 8(5),925-928.
• 7.Rao, R.V., Savsani, V.J. & Vakharia, D.P. (2011) Teaching-learning-based optimization: a novelmethod for constrained mechanical design optimization problems. Computer-Aided Design, 43(3),303-315.
• 8.Rao, R.V., Savsani, V.J. & Vakharia, D.P. (2012) Teaching-learning-based optimization: an optimiza-tion method for continuous non-linear large scale problems. Information Sciences, 183(1), 1-15.
• 9.Vishnu, V., Achu, V., Riyana, M.S. & Jayakrishnan, R. (2018) Time-cost-risk optimization in con-struction work by using ant colony algorithm. International Research Journal of Engineering andTechnology, 5(4), 2298-23.
• 10.Zhang, H. & Xing, F. (2010) Fuzzy-multi-objective particle swarm optimization for time-cost-qualitytradeoff in construction. Automation in Construction, 19, 1067-1075.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).