Simulation in dynamic environments: optimization of transportation inside a coal mine

In some operational environments, the infrastructure changes continuously, which makes the data collection for a simulation more difficult. This is the case for the daily operation of a coal mine, where the continuous production flow is highly dependent on the transportation system, and where the transportation network changes as the coal extraction moves forward. We introduce a methodology for the automation of this entire process, from importing the data to the simulation and the optimization modules. We test its applicability with a specific coal mine. Using this methodology, good operational and strategic policies can be identified for the dispatcher who controls the transportation inside the mine.

[1]  J. P. Kelly,et al.  New advances and applications of combining simulation and optimization , 1996, Proceedings Winter Simulation Conference.

[2]  J. O. Henriksen,et al.  GPSS/H: a 23-year retrospective view , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[3]  Russell R. Barton,et al.  Proceedings of the 2000 winter simulation conference , 2000 .

[4]  Alexander Shapiro Simulation based optimization , 1996, Winter Simulation Conference.

[5]  Thomas J. Schriber,et al.  An introduction to simulation using GPSS/H , 1991 .

[6]  Eric Vaillancourt,et al.  Simulation within the railroad environment , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[7]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[8]  Abhijit Gosavi,et al.  Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning , 2003 .

[9]  Fred W. Glover,et al.  New advances and applications of combining simulation and optimization , 1996, WSC.