Upbrella and BIM: Rethinking the construction process in residential construction
Bibliographic record
Abstract
The problems of productivity, predictability and quality in design and delivery of the building product are well documented. Prefabrication, process reengineering and digitalization are proposed as potential solutions to address these issues. One issue that is rarely addressed, however, is the management of the changes required to move from existing to a new paradigm of practices. Organization of work in construction, as opposed to other industries, has barely evolved in the last centuries. The research project studies the impact of the introduction of a new high-rise building construction system and BIM related technologies on the organization of work within a multi- residential project. The aim is to develop a concept of operation on how to reorganize work process within and between practices and trades. Ethnographic methods were used to identify issues regarding the management of information, the organization of work and the perceptions regarding BIM associated technologies and tools such as electronic tablets. Benchmarking and lean production tools such as value stream mapping were also utilized to identify problems of productivity and waste. Waste related to poor management of workflows and information flow was a major issue and had a strong impact on productivity. Contractual context in which there are no incentives for professionals and trades to improve their overall performance (no share responsibilities and fragmented obligations) was identified as the principal obstacle to changes in existing practices. Traditional project management practices proved to be inefficient to compensate the lack of coordination and collaboration between the project stakeholders. However, even if the use of BIM proved to be impractical in this context, tablets were well received as a way to improve collaboration and coordination of the work. A concept of operation was derived from the lessons learned that will be validated in the next pilot project.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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 source (direct Gemma or distilled Codex), 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".