Efficient resource allocation is a crucial component of every successful breeding program. Especially in transgenic maize production, the mandatory regulatory requirements in the industry to bring these genes to the market add additional costs that quickly raise the overall research budget. Twelve years of nursery data of a transgenic startup firm were analyzed, and a production model developed using multiple criteria decision making (MCDM) approach to optimize production inputs and outputs. The total number of events trialed nearly doubled without additional land requirement due to savings resulting from a reduction in testcross seed production.