Proficiency in many sophisticated tasks is attained through experience-based learning, in other words, learning by doing. For example, transplant surgeons need to practice difficult surgeries to actually master the skills required. Meanwhile, such experienced-based learning may affect other...

The requirement of social distancing during the COVID-19 pandemic has presented significant challenges for high-rise buildings, which heavily rely on elevators for vertical transportation. In particular, the need for social distancing has reduced elevator capacity typically by at least...

Motivated by the need for transportation infrastructure and incident management planning, we study traffic density under non-recurrent congestion. This paper provides an analytical solution approximating the stationary distribution of traffic density in roadways where deterioration of service...

The healthcare system is no stranger to resource challenges in the face of unlimited demand to fulfill healthcare objectives of satisfying patients, maintaining service quality, and maximizing profit. Healthcare decision-makers are responsible for devising effective methods for allocating scarce...

We consider a queueing system with multiple Poisson arrival queues and a single batch server that has infinite capacity and a fixed service time. The problem is to allocate the server at each moment to minimize the long-run average waiting cost. We propose a Cost-Arrival Weighted (CAW) policy...

We study an M/M/1/K queue where customers can reschedule their appointments. Rescheduled customers show up with higher probabilities, incurring lower no-show costs, but rescheduling also frees up slots that may not be filled later, leading to wasted service capacity and lower throughput. The...