Synchronisation of order cycles of multiple buyers in a supply chain with trade credit policy
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Bibliographic record
Abstract
In this paper, we propose a coordinated single-vendor multi-buyer supply chain model by synchronising ordering and production cycles with trade credit option. The synchronisation is achieved by scheduling the ordering cycle of buyers and coordinating them with the vendor's production cycle. Such a policy results in lower total cost of the system very often at the expense of increased costs of the buyers. Hence, in order to compensate the increased cost of the buyers, a credit option scheme is proposed which can guarantee that the costs of all the buyers and the vendor, as a result of coordination, will be reduced when compared with independent optimisation. A profit-sharing scheme is also developed. A mathematical model is developed and an effective-and-efficient heuristics is proposed for our proposed coordination model. Numerical results are provided with results showing that the Pareto improvements can be achieved via the proposed trade credit incentive scheme. Such results are irrespective of the capital cost structure of the vendor and buyers in the supply chain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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