Supply chain efficient inventory management as a service offered by a cloud-based platform
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
This paper proposes a Cloud-centric platform offering efficient inventory management as a service for supply chain stakeholders. The offered service will enable all stakeholders in a supply chain to minimize both their ordering costs and their shortage costs, while managing their inventories. The proposed cloud-based platform stores all the data, relating to a given product item, released by the involved stakeholders throughout its life cycle; from its manufacture up to its retail, passing through its distribution, storage, etc. The objective of the offered service is to provide stakeholders, in a supply chain, with efficient replenishment schemes derived collaboratively on the basis of real-time information flow, including retail information. A stakeholder calls the proposed service in order to compute a real-time optimal “inventory threshold”, with regard to a given product category, to be considered in its replenishment policy. By optimal we mean that it minimizes the stock disruption likelihood, while minimizing the allocated resources in term of storage space and inventory cash value. The computation of the optimal parameters is based on a probabilistic model. Analytical results illustrate the efficiency of the inventory optimization service offered by our proposed cloud-centric platform.
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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 | 0.000 |
| 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