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Record W4381436197 · doi:10.30973/progmat/2020.12.2/2

Herramienta en MATLAB para acomodo de cajas en 3L-CVRP

2020· article· es· W4381436197 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProgramación matemática y software · 2020
Typearticle
Languagees
FieldEngineering
TopicAssembly Line Balancing Optimization
Canadian institutionsnot available
FundersUniversity of WaterlooTecnológico Nacional de México
KeywordsHumanitiesArtComputer sciencePhysics

Abstract

fetched live from OpenAlex

El problema de enrutamiento de vehículos con carga tridimensional, o 3L-CVRP, es un problema NP-Completo en el campo de la logística. En el 3L-CVRP se consideran las dimensiones de largo, ancho y alto de los artículos y el vehículo. Por lo tanto, cada artículo debe cargarse secuencialmente para evitar que artículos de diferentes clientes se apilen entrelazados, artículos frágiles no deben dar soporte a artículos no frágiles. Los artículos pueden rotarse en los ejes x-y. En este trabajo, se propone un programa MATLAB para trazar las soluciones obtenidas para 3L-CVRP como una técnica para verificar errores tales como superposiciones, intersecciones, área de soporte insuficiente y la combinación no válida de elementos

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.577
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.014
GPT teacher head0.260
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