Improve Facility Project Delivery With Methods for Manufacturing Excellence
Bibliographic record
Abstract
Facility project management and control systems can be improved by the infusion of execution planning methods typical of Toyota production preparation. The value of Toyota's just-in-time process is found in its reliability improvement of planning and supply systems, not just that some materials come just as they are needed. Toyota cut the industry standard 3 million man-hour project time (to design and setup a line for a new automobile), by 15 months. Lowered its cost by 1.3 million man hours, and reduced startup time to design production rates and specifications by 62%. Building on last planner1 and lean production2 introduced for construction, by others, the authors present herein, production-level project-execution-planning methods for facilities typical of the oil industry. Early application put a 3000 person project team in the tar sands area of Alberta, Canada on the path to 6 months and 10% savings.
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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 | 0.002 | 0.001 |
| 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".