Ordering and pricing decisions for perishable goods retailer with zero‐inventory and capital constraints
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
Abstract Considering the restriction of optimal profit realizing due to capital constraints in the perishable supply chain, this paper discusses two financing models, crowdfunding financing and bank credit financing from the small–medium enterprise (SME) bank, for the dynamic ordering and pricing system of perishable goods in zero‐inventory under capital constraints. Heuristics algorithms are designed to solve the model. In dynamic crowdfunding financing, retailers bear different demand for capital in different periods and the capital gap for the retailer will narrow over time. In the SME financing model, the requirement for capital depends on retail size. We characterize the conditions of the financing preference between crowdfunding and SME financing channel. Smaller retailers, relative to the bigger players, are more willing to assure higher financing returns to gain the investment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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