Construction-Oriented Architectural Design in Off-Site Construction Towards Lean Construction and Management
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 rapid development of Off-site Construction (OSC) has closely linked it to Lean Construction (LC). The importance of design has been highlighted in LC as the primary means to produce value to clients. However, the adoption of lean thinking is still modest in design. Although most research target the lean design theories and their adoption in LC or OSC, there is limited understanding of terminological and cross-sectoral problems without sufficiently considering the different contexts (incompatibilities) among manufacturing, construction, and architecture, hindering the effective use of lean thinking in the design stage, especially in architectural design. This paper clarifies the OSC architectural design methods and presents how design for manufacture and assembly (DfMA) guidelines are considered as design principles to incorporate lean thinking into OSC architectural design to achieve a constructible design towards lean construction goals in OSC projects. This study shows new insights into the cross-sectoral understanding of incorporating lean design from the manufacturing industry to architectural design. An interdisciplinary study pathway is explored focusing on coordinating lean design and Architectural design to achieve lean management.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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