Manufacturing Process Management: iterative synchronisation of engineering data with manufacturing realities
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
The principles of Concurrent Engineering (CE) have led to an early introduction of manufacturing decisions in the Product Development Process (PDP). Nevertheless, the integration along the product life cycle of computer tools to help engineers manage their tasks in the global market still suffers from a poor understanding of information requirements for the effective streamline of the design to production process. Manufacturing Process Management (MPM) is a strategy that supports formal communication between engineering and production in a virtual 3D environment. This paper outlines how MPM enables a real-time assessment of component manufacturability and a parallelisation of product design and manufacturing processes. The proposed scheme is dedicated to offer CE teams the answers to integrated change management issues through a digital collaborative environment. From a technological perspective, a MPM solution provides an intelligent bridge between the Computer-Aided Design/Product Data Management (CAD/PDM) and Enterprise Resource Planning/Manufacturing Execution System (ERP/MES) software with viable perspectives for complete Product Life cycle Management (PLM) packages and new Knowledge Management (KM) approaches.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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