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  Using exact statistical distributions for truck shovel simulation studies
 
 
Titel: Using exact statistical distributions for truck shovel simulation studies
Auteur: Sturgul, John R.
Verschenen in: International journal of mining, reclamation and environment
Paginering: Jaargang 6 (1992) nr. 3 pagina's 137-139
Jaar: 1992
Inhoud: Several simulation packages exist for doing studies to determine the optimum number of trucks to have in a mine. These packages require the cycle times for trucks and times for the other equipment such as dumps and loaders to perform their various tasks. In most cases the times for trucks, shovels, etc are given only by some statistical distribution. The mean is either known or can be obtained from the statistics. The question arises whether one can simply use the mean times or should one use the exact statistical distribution for the simulation. A GPSS/H simulation is used to provide insight into this problem by performing discrete simulation studies to show the effect on using different statistical distributions for times in a mine. A simple cycling queueing theory problem is considered. First, exact times are used for a mining cycling problem; then variation in the times is introduced; and, finally, a model using exponential and normal distributions is used for the example. It is found that even though the mean times for the distributions remains the same, the results do indeed depend on the statistical distributions used.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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