Continuous and discrete event simulations are often applied to study the behavior of systems with continuous and discrete flow, respectively. However, in real-life scenarios, both continuous and discrete flows can be observed within the same system. In such cases, discretization of a continuous flow system can allow modeling the system using discrete event simulation (DES) techniques. This paper presents the development of simulation scenarios to model the main transport system at an underground longwall coal mine in the Eastern US using DES. The goal of the simulation scenarios is to evaluate the impact of different stockpiling strategies and determine the capability of the system to meet long-term performance targets. Strategies to address system bottlenecks to meeting performance targets are evaluated to identify the most effective alternative.

连续和离散事件模拟通常分别用于研究具有连续和离散流的系统的行为。但是，在实际场景中，可以在同一系统中观察到连续和离散流。在这种情况下，连续流系统的离散化可以允许使用离散事件模拟（DES）技术对系统进行建模。本文介绍了使用DES对美国东部地下长壁煤矿主要运输系统进行建模的模拟方案的开发。仿真方案的目标是评估不同库存策略的影响，并确定系统满足长期性能目标的能力。评估解决系统瓶颈以达到性能目标的策略，以确定最有效的替代方案。