Using a case study from the electronics sector, this research attempts to optimize equipment selection in flexible manufacturing systems (FMS) in order to save costs, improve procedures, and increase production efficiency. To assess equipment combinations, we use a two-stage D-Optimal design in conjunction with discrete event simulation. We compute a weighted response-surface value “y” based on important production indices (such as production rate, waste, and cycle time). With a first-stage response-surface value of 14733.09 and a second-stage refinement to 151317.88, the main results show an ideal combination that achieves 92.8% automation utilization, proving that complete automation does not enhance efficiency. The contribution resides in offering a balanced, measurable method of FMS optimization that can be used to a variety of industries for increased resource efficiency and flexibility without supposing that automation would always be beneficial.
Yu et al. (Thu,) studied this question.