TY - JOUR
T1 - Evaluation of bunker size for continuous/discrete flow systems by applying discrete event simulation
T2 - A case study in mining
AU - Hong, Shih Yang
AU - Bal, Alperen
AU - Badurdeen, Fazleena
AU - Agioutantis, Zach
AU - Hicks, Steve
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Continuous production systems
KW - Discrete event simulation
KW - Mining
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U2 - 10.1016/j.simpat.2020.102155
DO - 10.1016/j.simpat.2020.102155
M3 - Article
AN - SCOPUS:85089269238
SN - 1569-190X
VL - 105
JO - Simulation Modelling Practice and Theory
JF - Simulation Modelling Practice and Theory
M1 - 102155
ER -