Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

Efficient planning of scarce resources in hospitals is a challenging task for which a large
variety of Operations Research and Management Science approaches have been …

Advanced decision-making models have been recently developed to integrate various
aspects of a supply chain, ie, production, distribution, ship**, and routing. These have …

The location of emergency resource centers has always been a great challenge in
emergency management, which directly influences the recovery speed of disaster areas and …

In this paper, we consider a two-stage stochastic weekly operating room planning problem
with an exponential number of scenarios. The objective function is to minimize the sum of …

This paper introduces the multiphase course timetabling problem and presents
mathematical formulations and effective solution algorithms to solve it in a real case study …

Massive testing to identify COVID-19-infected people is crucial in combating COVID-19.
However, from the perspective of facility location problems, many current massive testing …

We model and solve integrated multi-period staffing, assignment, routing, and scheduling of
caregivers for home care services and obtain insights for the case under uncertainty. The …

Complexity of surgery scheduling reduces surgical staff efficiency and patient satisfaction.
Nurses and surgeons face extreme workload every day, whose schedules can be improved …

Today, planning and scheduling problems are the most significant issues in the world and
make a great impact on improving organizational productivity and serving systems such as …