Scheduling model for repetitive construction processes for high-rise buildings
Bibliographic record
Abstract
In a high-rise building project that involves many repetitive construction processes, the effective control of such repetitive construction processes is a key factor in the success of the project. Unlike the existing scheduling methods for repetitive construction processes, a scheduling model that considers (i) the flexible job logic of the multiple work tasks that comprise a construction process and (ii) the productivity of the construction equipment and labor was developed in this paper. Various theories and algorithms such as the linking dummy, the linear scheduling method, and the production rate, were implemented in the development of the model. A scheduling model was then proposed based on such theories and algorithms and on a mathematical formula. The proposed model was verified by applying it to core wall construction, a key repetitive process in a high-rise building project. Verification showed that the developed model exhibited over 90% reliability. It is expected that the proposed model will allow effective scheduling for repetitive construction processes with flexible job logic.
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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 | 0.000 | 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".