High-priority expected waiting times in the delayed accumulating priority queue with applications to health care KPIs

We provide the first analytical expressions for expected waiting time of high-priority customers in delayed APQ by exploiting a classical conservation law work-conserving queues. Additionally, we describe an algorithm to compute times both low-priority and customers, which requires only truncation sums that converge quickly our experiments. These insights are used demonstrate how accumulation rate delay level should be chosen health care practitioners optimize common key performance indicators (KPIs). In particular, certain nontrivial KPIs, accumulating priority queue with zero is always preferable. Finally, present detailed investigation quality exponential approximation distribution, use choice queueing parameters respect classes’ distributions.