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Record W4394886380 · doi:10.5267/j.uscm.2024.3.007

Value chain analysis and managing supply chain costs

2024· article· en· W4394886380 on OpenAlexvenueno aff
Abubkr Ahmed Elhadi Abdelraheem

Bibliographic record

VenueUncertain Supply Chain Management · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
FundersPrince Sattam bin Abdulaziz University
KeywordsSupply chainValue (mathematics)Chain (unit)Value chainBusinessIndustrial organizationSupply chain managementMarketingStatisticsMathematics

Abstract

fetched live from OpenAlex

The study aimed to reveal the effect of value chain analysis (VCA) of internal and external activities to manage and reduce product costs along the supply chain (SC) in industrial facilities in the Red Sea State in Sudan from the point of view of managers, financial managers and accountants there, from the basic dimensions of value chain analysis represented by VCA of suppliers' activities, VCA for product design activities, VCA for production activities, and VCA for customer activities. The supply chain costs are defined in just-in-time (JIT), target costing (TC), and activity-based costing (ABC). The study revealed that analyzing VCA contributes to managing and reducing product costs along the supply chain by exploiting the interrelationships and overlap between the value chain analysis and the supply chain for each supplier's production and customer activities.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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