A DYNAMIC GAME OF OPERATIONS AND MARKETING MANAGEMENT IN A SUPPLY CHAIN
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
The aim of the paper is to study some important differences between (classical) non-cooperative and (modern) cooperative supply chain management. For this purpose, the paper develops a differential game model involving operations and marketing activities that are performed by a manufacturer and a retailer in a simple two-member supply chain. We consider a particular single brand of the manufacturer. The manufacturer decides on production volume, production process improvement and national advertising efforts, while the retailer decides her purchase volume by the manufacturer and her pricing policy toward the final consumers. A revenue sharing contract is employed in the non-cooperative setting. Among the issues addressed on the manufacturer side are the trade-off between production and process improvement activities, the path of inventory over time, and the trade-off between attracting new customers and improving the loyalty of current customers. For the retailer we study the inventory and price evolution over time.
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 | 0.001 | 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) | 0.001 | 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