Towards an agent oriented smart manufacturing system
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
As recent rescission impact is still evident in the slow recovery of industry, restructuring for total visibility and agility is inevitable to sustaining competitive edge and steady growth. Endowed with total visibility, smart automation is quite essential for responsive manufacturing and efficient supply-chains. This work proposes a new model for building smart automation for manufacturing systems that blends flexible manufacturing with total visibility, distributed intelligence, rationality, collaboration and flow control. In this vein, the work exploits the coordinated, intelligent and rational aspects of smart tag and resource agents with RFID enabling technology. While smart tag agents manage visibility for agile process flow and supply-chain management, smart resource agents improve responsiveness in shop floors and across supply chains. A hybrid control model drives the smart manufacturing system that realizes a reactive-reflex control at operations level and an agent-oriented deliberative control at planning level. At technology level, the system realizes JADE development environment that hosts the smart controller layers.
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 | 0.000 | 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 | 0.000 |
| 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