Defined Variables for Modular Construction Multi Project Scheduling
Bibliographic record
Abstract
The modular construction has several advantages such as high quality of product, safe work condition and short construction duration. So, it is adopted and utilized widely to product the house buildings. Meanwhile, the modular construction is composed of manufacturing modular units in factories and erecting it on the site. In this circumstance, the scheduling of modular construction should consider timeframe of manufacturing, transport and erection process with limited resources (e.g., modular units, transporter and workers). Also, this has a characteristic generated from the environmental condition of modular construction, which share resource pool such as the productivity of factory, storage for modular units and workers. So, the concept of multi project scheduling for modular construction should be also considered. The multi project scheduling of modular construction would manage the modular construction’s characteristics and diversity of projects, as a type of modular unit, quantities, and date for delivery. In this circumstance, this research preferentially performs to define variables of required resources from numerous literature reviews and expert interviews for multi project scheduling of modular construction. The authors regard that proposed variables are used for building a scheduling of multi project modular construction and suggest a framework for schedule optimization considering factory, shipping and erection process.
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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 | 0.001 |
| 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".