Impact of Construction Systems on Project Timelines: A Case Study of Multi-Floor Affordable Residential Buildings
Bibliographic record
Abstract
The time required to implement projects is one of the basic elements for evaluating the performance of these projects, as the project is considered successful if it is delivered on time, and there are many and multiple reasons that lead to delay in the project time.Delay in time is considered one of the important problems that affect the performance of projects.This research aims to know the role of the structural systems used in the construction of multi-storey concrete buildings in reducing construction time and thus reducing the total time required to implement projects.A group of structural systems commonly used locally in the city of Mosul were applied, such as (1-Traditional building system -in-situ pouring of concrete 2-The Tunnel system and 3-The prefabricated system -pre-casting of concrete, in addition to 4-A proposed system within the study, which is a combination of 1 and 3) on a model of a multi-storey residential project, in view of the great need for residential units and the importance of implementing them at an appropriate time compared to the cost achieved from that.This can be considered the optimal time for implementation while maintaining the necessary efficiency for these projects.To test the research hypothesis which states that the construction system has an important role in achieving the optimal time for project implementation, the data obtained from each system was extracted and compared, then the completion rates for the first 100 hours of work were calculated.In an attempt to determine the system that achieves the optimal time required for construction, it was concluded that it is difficult to determine the optimal system directly, but it can be considered that the prefabricated building system can be considered the optimal system on the one hand, and the time and Mixed System can be considered the optimal system in terms of cost, and the results.The study may help decision-makers who are specialists in the construction industry to take appropriate measures and determine the appropriate construction system in constructing projects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".