AnyPit: A Lightweight and Extensible Simulation Platform for Real-Time Mining Truck Dispatching

Truck dispatching plays a significant role in cost and production efficiency in open-pit mining systems. However, existing simulation models suffer from proprietary software ecosystem and insufficient modeling accuracy, hindering the design and comparison of dispatching algorithms. To address these issues, this paper develops Anypit, a lightweight and extensible simulation platform. The platform incorporates planar graph road network and a hybrid discrete-continuous event processing framework, enhancing the modeling granularity of operational processes. A dual threading mechanism decouples the dispatching computations from evolution of the environment. Furthermore, a series of compatibility mechanisms facilitate integration and unified comparison of different algorithms. Policy baselines tests demonstrate that the platform can model the complete lifecycle of mining trucks with high granularity and effectively evaluate the performance of various algorithms.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1109/iciea65512.2025.11149205
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

AnyPit: A Lightweight and Extensible Simulation Platform for Real-Time Mining Truck Dispatching

Lei Wang, Nuan Song, Yongqin Liu
Advanced Manufacturing and Logistics Optimization
article

AnyPit: A Lightweight and Extensible Simulation Platform for Real-Time Mining Truck Dispatching

Lei Wang, Nuan Song, Yongqin Liu
article en

Abstract

Truck dispatching plays a significant role in cost and production efficiency in open-pit mining systems. However, existing simulation models suffer from proprietary software ecosystem and insufficient modeling accuracy, hindering the design and comparison of dispatching algorithms. To address these issues, this paper develops Anypit, a lightweight and extensible simulation platform. The platform incorporates planar graph road network and a hybrid discrete-continuous event processing framework, enhancing the modeling granularity of operational processes. A dual threading mechanism decouples the dispatching computations from evolution of the environment. Furthermore, a series of compatibility mechanisms facilitate integration and unified comparison of different algorithms. Policy baselines tests demonstrate that the platform can model the complete lifecycle of mining trucks with high granularity and effectively evaluate the performance of various algorithms.

Beihang University (CN)
Openalex Percentile: Top 66%
Advanced Manufacturing and Logistics Optimization
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