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Record W2171349556 · doi:10.1504/ijstl.2010.033508

An airfreight forwarder's shipment planning: simultaneous decisions on job, route and agent selection

2010· article· en· W2171349556 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.

Bibliographic record

VenueInternational Journal of Shipping and Transport Logistics · 2010
Typearticle
Languageen
FieldEngineering
TopicVehicle Routing Optimization Methods
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSelection (genetic algorithm)Profit (economics)Variety (cybernetics)Computer sciencePlan (archaeology)ForwarderOperations researchBusinessDestinationsFunction (biology)Operations managementMicroeconomicsTourismEconomics

Abstract

fetched live from OpenAlex

Nowadays, because of the emergence of many online logistics platforms – some of which function as virtual marketplaces – airfreight forwarders are facing an increasing number of shipment requests and many choices of collaborating agents. They are also expected to handle a greater variety of shipments from an increasing number of origins and to an increasing number of destinations. In this paper, we address the three inter-related decisions of job selection, route selection and agent selection in the design of a shipment plan. We formulate this problem as a mixed 0-1 LP, with the objective of maximising profit. Using a numerical example, we analyse the effects of job and route selection and provide insights into various aspects of shipment planning.

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: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.492

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 head0.027
GPT teacher head0.302
Teacher spread0.275 · 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