Linkage of Truck-and-shovel Operations to Short-term Mine Plans Using Discrete Event Simulation
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
The scope of this research is concerned with improving truck-and-shovel systems’ efficiency using simulation. The major shortcomings of the current simulation models reviewed in literature are: a) considering shovels as continuously working equipment, b) modeling the system based on a shovel’s production requirements, and c) considering only the total tonnage of material hauled with neither any measure of material quality nor a link to the mine production schedule. The objective of this study is to develop, implement, and verify a simulation model to analyze the behavior of a truck-and-shovel haulage system in open-pit mining in conjunction with short-term plans. The simulation model imitates the complex truck-and-shovel system, and considers the uncertainties associated with the operations of trucks and shovels. It guarantees that the operational plans will honor the optimum net present value obtained in the scheduling phase. The simulation model is verified by a case-study measuring key performance indicators of the truck-and-shovel haulage system.
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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 | 0.000 | 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 | 0.000 | 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