The trial and error process involved in effective material handling engineering can be daunting. Dozens of testing and simulation iterations, often with long simulation rendering times, mean that the process must be completed in a way conducive to meeting tight deadlines. Because of the time-sensitive nature of most projects, Discrete Element Modeling (DEM) simulations become as much art as science, requiring educated decisions on what to simulate and test. Materials may have variable conditions, such as varying water content depending on uncontrollable environmental variables. Understanding this reality and accounting for it in the model is only possible with accurate data gathering coupled with repeated simulations. Some materials may have critical limitations on some variables, where the material is damaged or destroyed by excessive force, heat or some other environmental condition. Calculating these variables in the design process can only be only possible with adequate data-gathering efforts.