Efficiency Optimization in Supply Chain Using RFID Technology
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
Radio-frequency identification (RFID) has been a very crucial element when it comes to the Internet of Things (IoT). Its low cost, small form factor, and multiple items tracking make it suitable to use in Smart Supply Chain Management (SSCM). There are many limitations of traditional Supply Chain Management (SCM) such as decentralized control, slow process, a lot of manual bookkeeping, unpredictable supplies which can lead to uncertain prices and deliveries. This paper discusses how SSCM can help overcome these drawbacks, by investigating four different scenarios of SSCM where RFID plays a major role. The frameworks discussed here try to solve some parts of the SSCM and give a brief idea about how they can be incorporated into the whole process. In addition to examining different approaches, a combined framework is proposed at the end. This proposal reflects the best characteristics that can demonstrate the versatility of RFID for tracking products, inventory management, and security aspects in SSCM.
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 | 0.001 |
| 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