Özet
Construction project scheduling requires additional parameters and estimation if the projects are equipment intensive. Since preventive maintenance, multiple movement operations, and sitting idle vehicles affect not only the activity or the total project duration, but also the budget of the project, heavy equipment scheduling deserves a special focus. In this study, a survey was conducted within construction companies to collect information about how their productivity analysis and project scheduling were executed, and upon which parameters they were based. Additionally, in a selected residential building construction project, Monte Carlo simulation was applied for estimating the productivity on a construction site with selected parameters. The results reveal that Turkish construction companies have a poor focus on heavy equipment scheduling as well as productivity and their productivity data just relies on daily documents from a machinery department and basic extrapolation for future construction activities. This paper briefly reveals the characteristics of the Turkish construction industry towards equipment scheduling and productivity analyses and recommends simulation methods such as Monte Carlo for cost, as well as productivity estimation to provide extensive cost savings during construction projects.
Orijinal dil | İngilizce |
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Sayfa (başlangıç-bitiş) | 265-273 |
Sayfa sayısı | 9 |
Dergi | Procedia Engineering |
Hacim | 182 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2017 |
Etkinlik | 7th International Conference on Engineering, Project, and Production Management, EPPM 2016 - Bialystok, Poland Süre: 21 Eyl 2016 → 23 Eyl 2016 |
Bibliyografik not
Publisher Copyright:© 2016 The Authors. Published by Elsevier Ltd.
Finansman
7th International Conference on Engineering, Project, and Production Management (EPPM2016) was financed in the framework of the contract no. 712/P-DUN/2016 by the Ministry of Science and Higher Education from the funds earmarked for the public understanding of science initiatives.
Finansörler | Finansör numarası |
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Ministry of Science and Higher Education |