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Record W3150513566 · doi:10.1109/wsc.2008.4736185

Modeling and simulation of multinational intra-theatre logistics distribution

2008· article· en· W3150513566 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2008 Winter Simulation Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicTransport and Logistics Innovations
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsMultinational corporationComputer scienceBusiness

Abstract

fetched live from OpenAlex

Multinational logistics cooperation is essential for reducing the collective logistics footprint, optimizing resource usage and enhancing interoperability in military operations. In this paper, a Multinational Intra-Theatre Distribution (MN ITD) concept for alliance or coalition operations is examined. MN ITD considers the creation of a MN logistics distribution centre that combines elements of the nations’ stovepipes into a single system to improve multinational logistics distribution in a theatre of operation. A discrete event simulation framework has been developed to assess the MN ITD time responsiveness. The MN ITD performance is assessed and compared against the current Canadian Forces distribution system. The study indicates that a MN ITD system would potentially reduce response times for intra-theatre distribution.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.798
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.052
GPT teacher head0.267
Teacher spread0.215 · 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