Flexible Robotic Production in Off-Site Construction: A Lean Approac
Bibliographic record
Abstract
The integration of robotics into flexible manufacturing systems (FMS) has been identified as a potential strategy for increasing modular construction flexibility.The purpose of this paper is to present a conceptual framework for investigating the relationship between FMS and robotics in modular construction.The framework proposes that by incorporating robotics into FMS, prefabricated building component manufacturing systems will gain flexibility.The two key variables of the framework are robotics (as the independent variable) and FMS (as the dependent variable).Moderator variables such as controlled environment and variability are also considered, as are mediator variables such as real-time adjustments, productivity, equipment utilization, set-up times, varying speeds, and reduced manpower.The purpose of this paper is to set the theoretical foundation for further studies on robotics integration into FMS in modular construction.The paper concludes with a discussion of the proposed implications of the framework for modular construction practitioners and researchers.
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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 | 0.001 |
| 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".