Purpose We provide an overview of how to work from home during the coronavirus disease
2019 (COVID‐19) pandemic and what measures should be taken to minimize the negative …

We consider the problem of determining an optimal appointment schedule for a given
sequence of jobs (eg, medical procedures) on a single processor (eg, operating room, …

Osteoarthritis (OA) is a progressive joint disease that affects millions of older adults around
the world. With increasing rates of incidence and prevalence worldwide, OA has become an …

Efficient patient scheduling has significant operational, clinical and economical benefits on
health care systems by not only increasing the timely access of patients to care but also …

There are several algorithms to solve the integrated process planning and scheduling (IPPS)
problem (ie, flexible job shop scheduling with process plan flexibility) in the literature. All …

We consider the problem of appointment scheduling with discrete random durations but under
the more realistic assumption that the duration probability distributions are not known and …

We study a generalized operating room planning and scheduling (GORPS) problem at the
Toronto General Hospital (TGH) in Ontario, Canada. GORPS allocates elective patients and …

In industries like health care, consumer goods and agriculture, shortages are widely observed
and the consequences can be costly. One of the main drivers of such shortages is the …

In this paper, we present a branch and bound algorithm for the parallel batch scheduling of
jobs having different processing times, release dates and unit sizes. There are identical …

Background A prolonged living kidney donor evaluation may result in worse outcomes for
transplant recipients. Better knowledge of the duration of this process may help inform future …