Método de Solución al Problema de Ruteo e Inventarios de Múltiples Productos para una Flota Heterogénea de Naves
Bibliographic record
Abstract
En este trabajo se presenta un problema operacional de ruteo e inventarios de multiples productos para una flota heterogenea de naves y un metodo heuristico de solucion para resolverlo. En este sistema de distribucion se debetransportar multiples productos desde distintos puertos de produccion a un conjunto de puertos donde se consumen. El metodo desarrollado permite determinar la asignacion de una flota de naves a rutas, y estanques a productos, de modo de satisfacer la demanda por multiples productos en los distintos terminales de un sistema de distribucion. La heuristica desarrollada permite encontrar soluciones eficaces para problemas de tamano real, en terminos de velocidad computacional y calidad de las soluciones, y respetando niveles de inventario objetivo en cada terminal, restricciones de acceso a terminales (calado, eslora), y restricciones de estiba de las naves relacionadas a compatibilidad de productos en estanques contiguos y/o que comparten segregacion.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".