The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …

Elective surgery patients have surgery in the operating room (OR), and then recover in one
or more downstream recovery units for several consecutive hours or days after surgery …

This paper studies how to schedule medical appointments with time-dependent patient no-
show behavior and random service times. The problem is motivated by our studies of …

We consider the problem of preparing for a disaster season by determining where to open
warehouses and how much relief item inventory to preposition in each. Then, after each …

Teleconsultation service plays an important role in the Chinese healthcare service provision
especially during the period of the COVID-19 pandemic. We propose a two-stage …

Despite the prevalence and significance of walk-ins in healthcare, we know relatively little
about how to plan and manage the daily operations of a healthcare facility that accepts both …

In this paper, we study the decision process of assigning elective surgery patients to
available surgical blocks in multiple operating rooms (OR) under random surgery durations …

We address the problem of designing appointment scheduling strategies in a stochastic
environment accounting for patient no-shows, nonpunctuality, general stochastic service …

Optimal routing solutions based on deterministic models usually fail to deliver promised on-
time services in an uncertain real world, which can lead to the loss of customers and …

This paper presents a distributionally robust (DR) optimization model for the single machine
scheduling problem (SMSP) with random job processing time (JPT). To the best of our …