To study the effect of congestion on the fundamental trade-off between diagnostic accuracy and speed, we empirically test the predictions of a formal sequential testing model in a setting where the gathering of additional information can improve diagnostic accuracy, but may also take time and...

Problem definition: Customers typically judge a service's waiting based on their perception, which is often longer than the actual waiting time. Thus, managing perceived waiting time is key for service providers and leads to various psychology-based approaches, including a rising star -- Virtual...

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...

Traditional queuing theory assumes types are known or perfectly observed, and each type is typically put in its type-specific queue which is prioritized using some version of the celebrated c-mu rule; we call this type-based queueing. We study feature-based priority queuing where types are not...

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...