Measuring and improving the process of engineering change orders in a model-based definition context
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 model-based definition (MBD) approach represents a trend in computer-aided design (CAD) that promises reduced time-to-market and improved product quality. Its main purpose is to enhance and accelerate the design, manufacturing and inspection of new products by integrating drawing annotations directly onto a 3D model; thereby obviating the need to generate engineering drawings. Before fully adopting this drawing-less initiative, industries must be capable of determining the gains that can potentially be obtained within each of the different product lifecycle processes that will be affected, especially within the engineering change order (ECO) process, which is based on the study, review, annotation, validation, approval and release of engineering drawings. This paper presents the results of a research project conducted to evaluate and quantify the gains of administering the ECO process in an MBD context using empirical and experimental data within a discrete-event simulation approach. Based on a case study in a Canadian aerospace company, our results show that reductions of about 11% in the average overall processing time and in the average cost can be achieved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.002 |
| 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