Building a digital twin for IoT smart stores: a case in retail and apparel industry
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
Today, digital twins (DT) are among the highest technological trends and have moved from concept to reality. Although the first implementations were conducted in Industry 4.0, their evolution is expected to transform the face of several industries. Even though there has been a considerable growth of interest in DT concept, its application remains at a cradle stage and research in other sectors such as retail are very limited. Additionally, since an increasing number of companies are implementing internet of things (IoT) technologies, they may deploy a DT in the next years, and knowing realistic impacts of DT on operations management is therefore of great interest. In this research paper, we aim to develop a DT prototype for service-oriented organisations in the retail sector. More specifically, we study the case of implementing a DT in smart stores and assess its impact on daily operations management performances using simulation.
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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 | 0.001 |
| 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