Lean construction implementation and its implication on sustainability: a contractor’s case study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The lean construction concept has been introduced successfully into the construction industry to reduce construction wastes. While lean concepts require a rethinking of existing construction processes and practices, there is also a need for new tools to implement lean thinking. In addition, while lean can improve project time and cost performance, it may also have an impact on sustainability, which mainly focuses on reducing environmental impact of construction. This paper describes the implementation of lean construction and its implication on environmental sustainability from a contractor perspective through a case study. The study observed waste in both project-level contractor coordination and operation-level construction performance. A vertically-integrated scheduling system that features location-based look-ahead scheduling and graphic weekly work planning was developed to improve project-level contractor coordination. To implement waste elimination solutions at the operation level, construction simulation and 3-D visualization were applied to facilitate lean implementation. Meanwhile, the impact of lean on sustainability were observed and discussed.
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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 it