Mixed-integer linear programming (MILP) has become a cornerstone of operations research.
This is driven by the enhanced efficiency of modern solvers, which can today find globally …

We consider a stochastic pre-disaster relief network design problem, which mainly
determines the capacities and locations of the response facilities and their inventory levels …

Carsharing has been considered as an effective means to increase mobility and reduce
personal vehicle usage and related carbon emissions. In this paper, we consider problems …

We consider an integrated location–allocation and evacuation planning problem in a
disaster context, where the effects of a disaster, including the uncertain capacities of relief …

We study the problem of integrated staffing and scheduling under demand uncertainty. This
problem is formulated as a two-stage stochastic integer program with mixed-integer …

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 …

Emergency Medical Service systems aim to respond to emergency calls in a timely manner
and provide prehospital care to patients. This paper addresses the problem of locating …

This paper proposes a two-tier last-mile delivery model that optimally selects mobile depot
locations in advance of full information about the availability of crowd-shippers and then …

Determining emergency department (ED) nurse staffing decisions to balance quality of
service and staffing costs can be extremely challenging, especially when there is a high …

E-commerce has been evolving towards omnichannel as we have witnessed many once
pure e-retailers opening physical stores or showrooms to enable customers to inspect the …