Using Discrete Event Simulation to Model Smelting Process with Complex Constrains

The aim of this paper is to develop an integrated model for reducing dope in copper production process. Dope is referred to as any material formed as spillage, splash, etc. which is the result of pots transportation. Complex constrains such as transportation priority, cranes conflict, cycle stages, copper grade, and cranes failures must be considered. In order to consider the aforementioned constrains, discrete event simulation was considered using arena software. After model verification and validation, statistical analyses were performed on different scenarios. Reducing the pot waiting time, determining the optimum number of pots, finding the improvement rate for time between failures, and finally reducing the dope amount are the outputs of the model.