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Record W1987340460 · doi:10.1016/j.procir.2014.03.005

Procurement of Reconfigurable Assembly System a Justification for Effective Production Ramp-up Planning

2014· article· en· W1987340460 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

VenueProcedia CIRP · 2014
Typearticle
Languageen
FieldEngineering
TopicFlexible and Reconfigurable Manufacturing Systems
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsProduction (economics)ProcurementProduction planningManufacturing engineeringProduction system (computer science)Systems engineeringComputer scienceEngineeringBusinessOperations managementEconomicsMarketing

Abstract

fetched live from OpenAlex

Production ramp up is important activity in manufacturing through which the capacity to produce necessary product variety, size type, model, quantity, quality and feature is achieved. By introducing rapid changes in the product at manufacturing system levels value for customers is created to meet target market, free market economy is the only solution to meet the changing dynamics of the market and keeping a competitive edge in the market for staying in business. In this context, System dynamic has been used to address the volume and capacity yield issues. Other core issues of production systems is automated and manual assembly units in order to manage an effective and fast production ramp-up to respond rapidly to the niche market changes in the demand cycles. This paper contributes and attempts to describe the dynamic behavior patterns involved in managing the aforesaid challenges due to assembly by means of manual and automated assembly processes. Besides, this research concludes that procurement of reconfigurable manufacturing are essential for having effective and fast production.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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