Understand how systems with queues behave in the R&D domain.
Queuing theory is specially relevant in large scale environments since traditional batches of work have a non-linear impact on cycle time. Understand how systems with queues behave in the R&D domain, and apply those insights to managing queue sizes, work-in-progress limits, multitasking, work packages, and variability.