A sustainable continuous improvement methodology at an aerospace company
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.
Bibliographic record
Abstract
Purpose The purpose of this paper is to present a continuous improvement methodology developed in an aerospace company that is successfully being used by other companies in various industries. Design/methodology/approach A case study was undertaken at a medium‐sized aerospace company for over a span of one year. Data was collected through in‐depth interviews, attendance at formal and informal meetings, observation, and company documentation. Findings The paper provides an overview of a continuous improvement methodology known as Achieving Competitive Excellence (ACE™), which aims to achieve world‐class quality in products and processes. The paper describes in detail the tools and techniques needed to implement and maintain the methodology. It was found that the company is very successful in addressing a wide range of aspects in the organization, always with the viewpoint that the customer is number one. This methodology is successful to the point that it is being used by other companies in various industries. Practical implications The approach of the ACE™ methodology can be applied to a variety of companies. Originality/value This paper presents for the first time the comprehensive Continuous Improvement methodology ACE™. The paper should be of value to practitioners of continuous improvement programs who are interested in a comprehensive approach to achieving excellence.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it