On storage assignment policies for unit-load automated storage and retrieval systems
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 paper focuses on the management of automated storage and retrieval systems (AS/RS) from a practical standpoint. Most of the articles in the recent AS/RS literature rely on analytical models that are based on tight assumptions. However, some of these assumptions are not clear cut and therefore the validity of the results reported in the theoretical works need to be clearly assessed when applying them to a particular industrial setting. To this end, this paper presents a discrete-event simulator that was designed to accurately reproduce the characteristics of an industrial AS/RS owned by a large manufacturer in the food industry located in Quebec City, Canada. Various scenarios inspired by real data provided by our industrial partner were used to compare the system performance under several storage assignment policies. Our experimental results confirm our hypothesis that the system behaviour deviates from the theoretical expectations as soon as the most simplistic, yet realistic conditions are considered.
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 | 0.000 |
| 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) | 0.000 | 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