Entropic measure to determine reconfiguration using integrated system design
Why this work is in the frame
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Bibliographic record
Abstract
A manufacturing system is usually designed to deal with a certain set of products and demands. Once these conditions change a system might have to change in a number of ways, such as adding or decreasing capacity and adding new processes. Changes may also be required in terms of system reconfiguration by rearrangement of machines, tools and material handling equipment. These changes that need to be made are not so transparent owing to the uncertainty in product demands and design changes and the complexity of the "information" present within a manufacturing system. This paper presents an entropic measure to indicate the changes that ought to be made at the system, cell or machine level of a manufacturing system. The entropic measure developed takes into consideration the probability of product demands and serves as a global indicator for possible reconfiguration. We also discuss briefly an integrated frame work for the design of manufacturing systems based on the genetic recombination technique which provides an integrated environment to explore the changes of product designs and demands on the entire manufacturing system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it