Abstract
Jigging is one of the most important separation methods used in coal preparation plants. The process is very complicated and is affected by many factors. In order to estimate and predict the optimum production performance, the process is modelled as a Markov technique and simulations are carried out. The Markov technique is a stochastic process. The probability vectors in the transition matrix are non-stationary in this case and are determined from actual production data. Results of simulations using the Markov technique show that predicted and actual data are almost identical. The method of development is simple and is easily carried out. In addition, some problems in production may be analysed through simulation of the jigging process.
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