Over the past five decades several models have been developed to make the decision of assigning active trucks to the right shovels. Most of the algorithms try to make decisions that optimize a specific objective and ignore others. This paper introduces a new multi objective truck-dispatching model that assigns trucks based on optimizing multiple objectives at the same time, including the targets and production requirements from the upper stages. Moreover, we have developed a detailed simulation model to test the proposed model against the well-known White and Olson model. We have developed the simulation model in Rockwell Arena and incorporated CPLEX to solve the dispatching models while running the simulation model. However, incorporating complicated decision making tools in the simulation model causes a drastic increase in the simulation run time. Therefore, to deal with the high time consumption, we developed a heuristic dispatching subsystem mimicking the White and Olson model's decisions and compared the key performance indicators and run times for the three techniques.
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