Optimizing Time in Horizontal Mining Excavations: 10 Formats Inspired by Value Stream Mapping Principles
Bibliographic record
Abstract
In this research, 10 formats are proposed as a single instrument, for taking mining cycle times based on the principles of the value chain map tool.As part of the methodology, we applied the 10 proposed formats in time recording, we analyzed the productive, contributory and non-contributory times, for this we used the Ishikawa diagram that shows us which activities have the greatest impact on low productivity in the horizontal excavations (Mining Cycle) later the mapping of the current state was carried out, finally the time efficiency was processed and calculated.To validate the results, we applied the proposal in the Esmeralda mining company, in its El Teniente mine for 4 months.As a result, we revealed that from a total cycle time of 22.85 hours: the productive time was 13.22 hours, the Contributory time was 4.53 hours and non-contributory time was 5.11 hours.We also revealed that the activities that show the lowest performance are: ventilation, marine loading, coining and drilling.The final conclusion is based on the contribution of the 10 formats and is applicable to underground mining companies who can use the 10 proposed formats to analyze productive, contributory and non-contributory times, and then take corresponding actions.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".