Scheduling, Management and Optimization of Construction Process
dc.contributor.author | Bettemir, Onder Halis | |
dc.contributor.author | Bulak, Omer Faruk | |
dc.date.accessioned | 2024-08-04T20:53:40Z | |
dc.date.available | 2024-08-04T20:53:40Z | |
dc.date.issued | 2022 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description.abstract | In this study, computation of quantity take-off, man hour and material requirements; determination of activity durations and crew sizes; and preparation of construction schedule related with the construction of a building are formulated by associating them with the geometry of the building, the construction items, and the available resources. Obtained quantity take-off values is joined with the item codes of the unit price analysis of Ministry of Environment, Urbanization and Climate Change of Republic of Tiirkiye and after this operation quantities of material, workmanship, and machinery requirements are computed by the corresponding unit price analysis data. Line-of-Balance schedule is prepared by considering the physical and logical constraints between the activities and construction duration is estimated. Construction project can be executed by different subcontractors which may have diverse workdays and the developed application computes the project duration in terms of calendar days by considering the different work calendars of the construction crews. Moreover work efficiency is estimated by considering the effects of seasonal conditions, and month Ramadan Optimization of construction schedule is executed by Genetic Algorithm with Simulated Annealing (GASA) according to the restrictions on the construction duration and the maximum available labor as well as the delay penalty. In this study resource constrained project scheduling and time cost trade-off problems are formulated by taking the possibilities of the project stakeholders may have different workdays and the job efficiencies may deviate according to the seasonal conditions into account which makes preparation of construction schedules considering more factors possible. This approach provides fast implementation of efficient construction management techniques. | en_US |
dc.identifier.doi | 10.18400/tekderg.981601 | |
dc.identifier.endpage | 12986 | en_US |
dc.identifier.issn | 1300-3453 | |
dc.identifier.issue | 6 | en_US |
dc.identifier.scopus | 2-s2.0-85153529631 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 12945 | en_US |
dc.identifier.uri | https://doi.org/10.18400/tekderg.981601 | |
dc.identifier.uri | https://hdl.handle.net/11616/101315 | |
dc.identifier.volume | 33 | en_US |
dc.identifier.wos | WOS:000884968400009 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Turkish Chamber Civil Engineers | en_US |
dc.relation.ispartof | Teknik Dergi | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | construction schedule | en_US |
dc.subject | optimization | en_US |
dc.subject | project management | en_US |
dc.subject | building information model | en_US |
dc.subject | genetic algorithm with simulated annealing | en_US |
dc.title | Scheduling, Management and Optimization of Construction Process | en_US |
dc.type | Article | en_US |