Bibliographic record
Abstract
Sustainable product development (SPD) requires that product design achieves minimum or zero environmental impact, in addition to satisfying the traditional design criteria such as product functionality, quality, features, costs and time to market. Therefore, the environmental evaluations must be incorporated into design stage. In this research, a product design process model was proposed which includes three design requirements, two design tasks, and three comprehensive assessment streams. The functional requirement is derived from the customer needs to reflect the product’s functional purpose; the environmental requirement reflects the society’s needs of protecting natural resources and environment; and the economic requirement is to ensure the company’s basic business goals. Accordingly, SPD aims to simultaneously carry out two tasks of designing products’ physical structures and lifecycle structures. In the assessment phase of product design, three assessment streams, lifecycle quality (LCQ) analysis, lifecycle assessment (LCA), and lifecycle cost (LCC) are conducted with respect to the functional, environmental, and economic evaluations. A Process-Based Analysis concept is proposed for analysis of all three dimensions of LCQ, LCA, and LCC evaluations. Simplified LCA was used for environmental evaluations. The detailed assessment techniques are also developed for effective design evaluations. A case study will be provided to illustrate the methods and models.
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.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".