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Record W3162788655

Application of revenue management in supply chain of postal services

2017· article· en· W3162788655 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

VenueIEEE Conference Proceedings · 2017
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBusinessRevenueRevenue managementSupply chain managementProductivitySupply chainTruckOperations managementMarketingFinanceEngineeringEconomics
DOInot available

Abstract

fetched live from OpenAlex

E-commerce has been changing the rules of marketplace by empowered customers seeking immediate and flexible delivery. Advantages of online shopping opportunities lead to the constantly increasing parcel volumes that need to be shipped and delivered through postal services network. This evolution caused capacity management to become a serious challenge for postal organizations. Postal services have been upgrading their static value chain inherent to letter-mail to more dynamic for e-commerce parcel. The current solutions mainly focus on improving the productivity of collection and delivery (i.e. higher truck utilization) and increasing the efficiency of the equipment (i.e. fewer missorts). However, these solutions are temporary and expensive. This paper addresses the shortcoming of the existing solutions by conceptualizing application of revenue management and developing capacity management model for postal services.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.344

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 head0.018
GPT teacher head0.218
Teacher spread0.200 · 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