Matrix-based quality tools for concept generation in eco-design
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
While quality management systems are familiar to industries for continuous improvements of products, the associated tools can also make significant contributions to address environmental concerns, aligning eco-design in the product improvement process. In this context, this article focuses on the adaptions of quality tools for supporting the generation of eco-design concepts. Particularly, this article develops a method that integrates quality function deployment and functional analysis via relational matrices. The proposed method has three steps. In step 1, an existing design is analyzed, and the associations between design entities are captured in three types of relational matrices: requirements and metrics, metrics and components, and functions and components. In step 2, the mapping between requirements and functions are determined via matrix multiplications, and then a morphological chart is established to generate possible design concepts. In step 3, the generated concepts are evaluated using Pugh charts via the delegated engineering metrics. A hair dryer has been selected as an application to demonstrate the proposed method for supporting eco-design.
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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 | 0.001 |
| 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 it