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Record W4297645027 · doi:10.4050/f-0078-2022-0068

Manufacturing Innovation for Bell's Future Factory

2022· article· en· W4297645027 on OpenAlexaff
Amber Pike

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsManufacturing engineeringFactory (object-oriented programming)ScheduleDigital manufacturingAdvanced manufacturingComputer-integrated manufacturingQuality (philosophy)Integrated Computer-Aided ManufacturingEngineeringProduction (economics)ManufacturingComputer scienceBusiness

Abstract

fetched live from OpenAlex

Bell Textron's Manufacturing Technology Center (MTC) is an innovative proving ground, commissioned on March 25, 2021. At the MTC, Bell tests and refines technologies to support the manufacturing readiness and build processes for future vertical flight aircraft. The MTC is designed to address the biggest rotorcraft manufacturing challenges, including cost, schedule, and quality. The facility is connected and controlled by a network of IT, Industrial Internet of Things (IIoT) and cybersecurity systems that manage its processes and operational data. The MTC provides a breadth of capability and houses both manufacturing and quality inspection processes in one site that produces composite blades, gears, cases, tooling, and more. The MTC focus areas include manufacturing of rotorcraft dynamic components and advanced composites, but also include integration for aircraft assembly, digital infrastructure, and digital manufacturing. This paper shows how Bell's advances in manufacturing support high-rate rotorcraft production and optimal manufacturing.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.789

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)0.0010.000

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 head0.010
GPT teacher head0.200
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2022
Admission routes1
Has abstractyes

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