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Record W3022167249 · doi:10.5267/j.uscm.2014.8.002

Designing a supply chain management based on distributers’ efficiency measurement

2014· article· en· W3022167249 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.

venuePublished in a venue whose home country is Canada.
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

VenueUncertain Supply Chain Management · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicOperations Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSupply chainSupply chain managementBusinessChain (unit)Computer scienceOperations managementProcess managementIndustrial organizationMarketingEconomics

Abstract

fetched live from OpenAlex

This paper presents a supply chain management by considering efficiency in the system. The proposed study considers two objective functions where the first one maximizes the efficiency of the supply chain and the second one minimizes the cost of facility layout as well as production of different products. In order to measure the relative efficiency, the study uses the method developed by Modeling data envelopment analysis (DEA) efficient location/allocation decisions. Computers & Operations Research, 35(2),[457][458][459][460][461][462][463][464][465][466][467][468][469][470][471][472][473][474]. The study has been formulated as a mixed integer programming and the implementation of the proposed model has been demonstrated using some numerical example. The preliminary results indicate that it was possible to increase the efficiency of supply chain without increase the supply chain expenses.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.053
GPT teacher head0.306
Teacher spread0.253 · 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