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Record W2473354735

Método de Solución al Problema de Ruteo e Inventarios de Múltiples Productos para una Flota Heterogénea de Naves

2015· article· es· W2473354735 on OpenAlexaff
Ricardo Giesen, Juan Carlos Muñoz, Mariela Silva, Mabel A. Leva

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldEngineering
TopicAdvanced Manufacturing and Logistics Optimization
Canadian institutionsTransport Canada
Fundersnot available
KeywordsHumanitiesPhilosophyChemistry
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.287
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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