The Mexico-China Sourcing Game: Teaching Global Dual Sourcing
Why this work is in the frame
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Bibliographic record
Abstract
We describe a three-hour class on global dual sourcing built around a game that demonstrates the challenges in making operational decisions, and transfers recent academic insights to the classroom. Student teams manage a firm with access to a responsive but expensive supply source (Mexico) and a cheap but remote source (China). Each team must determine a sourcing strategy to satisfy random demand that is revealed throughout the game. In each period, teams place orders to both sources and manage two assets: inventory and their bank account. The goal is to maximize each team's value (final bank balance). During the debriefings, we analyze the policies used by different teams along both financial and operational metrics, present the optimal strategy, and summarize the experiential learning points.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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