The Effects of Backorder Information and Reduced-Setup Dispatching Under Reorder Point Or Kanban Replenishment
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 research considers a single-stage, capacity-constrained workstation with circulating transporters used for replenishment and independent customer demand for completed parts. Characteristics of reorder point versus kanban replenishment are examined. One objective is to determine the usefulness of backorder information for upstream order placement. A second objective is to investigate the benefits of dispatching based on setup time reduction. Performance is measured in terms of inventory counts and the proportion of customer orders filled from stock. The area under tradeoff curves is used to evaluate comparisons statistically. Results show backorder information and setup time reduction both improve performance and that interaction effects are not significant. This indicates that reorder point systems can outperform kanban systems whether or not dispatching based on setup time reduction is used
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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 | 0.002 | 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