Product Design for Rebirth: Application to Aircraft Life Cycle Modeling
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
In this article, a methodology of design for rebirth and green supply chain are simultaneously applied to an aircraft. When an aircraft becomes obsolete, its owner wants to receive the highest possible value for it. Managing design for rebirth is a solution for manufacturers to find the economic and environmental best solution for an aircraft withdrawn from service. Required data structure will be examined with a concurrent engineering approach. Rebirth is the global strategy of product analysis for product end of life. This new methodology enables product design according to objectives defined by its end of life (EOL) and its generic engineering requirements; this methodology is implemented in a framework. Our data structure is based on topological information from a boundary representation (B-rep) model and it processes all information relative to the life cycle of the product. The software, based on this data structure, enables predefining certain characteristics built on knowledge of the company or on the data base.
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 | 0.000 | 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 | 0.001 |
| 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 it