Pilotage des systèmes manufacturiers via une analyse multicritère intégrant produit, ressource et ordre. Application au pilotage en flux tiré d'un Job Shop
Bibliographic record
Abstract
Les conditions de plus en plus exigeantes de la production industrielle imposent de rechercher de nouvelles techniques de pilotage d’atelier. Nous présentons ici une manière radicalement novatrice pour organiser le pilotage, reposant sur l’approche holonique, l’isoarchie et l’analyse multicritère. Après avoir abordé les différents concepts sous-tendant cette approche, nous détaillons les mécanismes de décision multicritère utilisés et la façon de la mettre en œuvre et de l’instrumenter. Les premiers résultats obtenus par simulation via Arena et un module de calcul multicritère AHP sont ensuite présentés et montrent les excellentes performances obtenues. Enfin, nous détaillerons la plateforme de test que nous venons d’achever. L’objectif est de pouvoir explorer et analyser plus facilement les performances de cette nouvelle approche du pilotage d’atelier.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".