Reliability Analysis of Non-Constant-Size Part Populations in Design for Remanufacture
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
Remanufacture offers significant economic and ecological advantages over other end-of-life options for appropriate products. The goal of this research is to estimate replacement requirements of parts in systems that are remanufactured. In our previous work, a novel repairable-system reliability model that allows system modifications was developed to describe a population of systems that are remanufactured. In this paper, the reliability model is modified to accommodate changes to the population size, while the population is in service, to better describe actual processes. The effects of two types of disturbances to population size, pulse and continuous, on the replacement rate behavior are studied. Analysis of actual industrial data is presented as an example of population replacement under continuous disturbance. This example confirms that a simulation using the reliability model described in this paper yields an estimate for replacement rate with acceptable error bound. [S1050-0472(00)00302-0]
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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