Over the past two decades, there has been explosive growth in the application of robust
optimization in operations management (robust OM), fueled by both significant advances in …

Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …

We consider chance-constrained binary programs, where each row of the inequalities that
involve uncertainty needs to be satisfied probabilistically. Only the information of the mean …

We consider a single-server scheduling problem given a fixed sequence of appointment
arrivals with random no-shows and service durations. The probability distribution of the …

In hospitals, surgeries are treated either on an outpatient or on an inpatient basis.
Outpatients are normally routine patients that enter and leave the hospital on the same day …

The distributed operating room (OR) scheduling problem aims to find an assignment of
surgeries to ORs across collaborating hospitals that share their waiting lists and ORs. We …

This paper considers a traditional problem of resource allocation: scheduling jobs on
machines. One such recent application is cloud computing; jobs arrive in an online fashion …

We allocate surgery blocks to operating rooms (ORs) under random surgery durations.
Given unknown distribution of the duration of each block, we investigate distributionally …

An algorithm for the two-stage robust optimization surgery-to-operating room allocation
problem is presented. The second-stage problem is an integer linear program whose …

The operating room scheduling problem is a popular research topic due to its complexity
and relevance. Previous literature reviews established a useful classification system for …