Discrete-event simulation of mine equipment systems combined with a reliability assessment model based on genetic algorithms

2008 ◽  
Vol 22 (1) ◽  
pp. 70-83 ◽  
Author(s):  
Greg Yuriy ◽  
Nick Vayenas
Keyword(s):  
Genetic Algorithms ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Reliability Assessment ◽  
Assessment Model ◽  
Event Simulation ◽  
Model Based

scholarly journals A novel scheduling framework: integrating genetic algorithms and discrete event simulation

2018 ◽  
Vol 17 (1) ◽  
pp. 1 ◽  
Author(s):  
Marco Macchi ◽  
Adalberto Polenghi ◽  
Edoardo Sottoriva ◽  
Luca Fumagalli ◽  
Elisa Negri
Keyword(s):  
Genetic Algorithms ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation

scholarly journals Coupling Game Theory and Discrete-Event Simulation for Model-Based Ambulance Dispatching

2018 ◽  
Vol 136 ◽  
pp. 398-407 ◽  
Author(s):  
Xinyu Fu ◽  
Alva Presbitero ◽  
Sergey V. Kovalchuk ◽  
Valeria V. Krzhizhanovskaya
Keyword(s):  
Game Theory ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Model Based

scholarly journals Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation

2021 ◽  
Vol 23 (4) ◽  
pp. 593-604
Author(s):  
Abolghasem Nobakhti ◽  
Sadigh Raissi ◽  
Kaveh Khalili Damghani ◽  
Roya Soltani
Keyword(s):  
Discrete Event Simulation ◽  
Fuzzy Inference ◽  
Discrete Event ◽  
Fault Tree ◽  
Reliability Assessment ◽  
Operating Conditions ◽  
Operating Pressure ◽  
Dynamic Reliability ◽  
Event Simulation ◽  
Recovery System

Any failure on the recovery system will cause a lot of environmental damage as well as energy loss. Hereof two types of alternatives; fast opening valve system (FOVS) and seal drum system (SDS) may be installed. The focus of this article is on the decision stage to choose the most preferred option in terms of reliability assessment. The major challenge in the research problem is on changing the pressure and temperature during operational cycles, which significantly affect the reliability. In addition, the lack of historical data complicates the reliability assessment method. Hence, we proposed a hybrid approach using fault tree analysis (FTA) and the Mamdani fuzzy inference to estimate reliability response as a function of a few frequently operating pressure and temperature. Also, discrete-event simulation helped us to evaluate the system reliability at different operating conditions. The comparisons reveals that the FOVs outperforms on average of 22.4% than the SDS and it is recommended for putting into practice for purchasing.

scholarly journals A novel scheduling framework: integrating genetic algorithms and discrete event simulation

2018 ◽  
Vol 17 (4) ◽  
pp. 371 ◽  
Author(s):  
Luca Fumagalli ◽  
Elisa Negri ◽  
Edoardo Sottoriva ◽  
Adalberto Polenghi ◽  
Marco Macchi
Keyword(s):  
Genetic Algorithms ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation
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