The goal of this research is to develop a multi-objective optimization stochastic tool for optimizing room and pillar design and operational parameters. The study highlights a well-designed data collection exercise, a continuous miner (CM) cut sequence for varying panel widths, and a stochastic simulation model of the system. The aim is to determine the effect of panel width design, haulage fleet selection, and waiting area design on the CM's productivity and utilization. A room and pillar coal mine in the mid-western region of the United States is used as a case study to develop the model and, subsequently, validate the results. Based on the results, it is recommended that the mine increase its haulage fleet size to four from three and use a 19-entry panel width for coal production subject to the optimal CM cut sequence and haulage distances implemented in the model.