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Record W4405920338 · doi:10.1504/ijplm.2024.143538

Engineering change management: comparing theory to a case study from aerospace

2024· article· en· W4405920338 on OpenAlex
Hamidreza Pourzarei, Oussama Ghnaya, Louis Rivest, Conrad Boton

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

VenueInternational Journal of Product Lifecycle Management · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsÉcole de Technologie SupérieureObject Research Systems (Canada)
Fundersnot available
KeywordsAerospaceEngineeringSystems engineeringAerospace engineering

Abstract

fetched live from OpenAlex

Engineering change (EC) is omnipresent in product development and, hence, in the aerospace industry. Engineering change management (ECM) is therefore needed. Various research studies have proposed different ECM processes to manage ECs. However, there may be differences between the ECM processes described in theory (scientific literature) and those used in practice (real world). This article intends to explore the similarities and differences between the ECM processes in theory and in practice. This article investigates and analyses one case study in an aerospace company. The authors analysed the ECM terminology, the flow of data and documents, activities, and functionalities of the IT tools in the aforementioned case study. The results of the case study were then compared with the ECM process from theory through ECM stages and activities. This comparison between theory and practice enhances the implementation of ECM in practice and deepens the understanding of ECM in the literature.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.110
GPT teacher head0.395
Teacher spread0.285 · 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