Watmins Jit/Kanban Benchmark Summary and Recommendations
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
Just-In-Time/KANBAN manufacturing concepts result in models that must simulate pre-process inventories at each stage, delayed processing until downstream operations indicate work should be performed, and comprehensive analysis on production orders (make/move Kanbans) versus inventory and production activities. This style of manufacture is different from the normal push environment where machines will work on anything in the work queue, send the finished parts to the next stage, and keep working until the pre-process inventory queue is exhausted; the material arriving is itself an order to make parts. The two styles imply different control logic and statistics. Many packages support push production directly, and easily provide the necessary controls and information, but there are no packages known to the authors that directly support JIT-pull. It is the purpose of this paper to report on a JIT-pull benchmark comparison of eight simulation tools and the resulting methodological recommendations.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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