We present a method for bundling scenarios in a progressive hedging heuristic (PHH)
applied to stochastic service network design, where the uncertain demand is represented by …

This paper presents a new model to maximize the utilization of existing transmission system
infrastructure by optimally sizing and siting the future developments of variable renewable …

ABSTRACT Emergency Medical Services (EMS) managers are concerned with responding
to emergency calls in a timely manner. Redeployment and dispatching strategies can be …

To meet evacuation needs from carless populations who need personalized assistance to
evacuate safely, in this article we propose a ridesharing-based evacuation program that …

We study the chance-constrained bin packing problem, with an application to hospital
operating room planning. The bin packing problem allocates items of random sizes that …

The sharing economy has offered new viable approaches for firms to tackle demand surges.
In this paper, we study a novel network design problem for the fourth-party logistics network …

This study introduces a challenging service network design problem with stochastic
demands and fixed routes. In this problem, the routes of some service vehicles are fixed …

In this paper, we study a capacity planning problem for a fourth-party logistics network
(4PLN) in the face of event-triggered demand surges. We aim to solve a stochastic …

Abstract Information on lower bounds plays an important role in the development of exact
and heuristic methods for stochastic service network design (SSND). In this paper, we …

Chance-constrained optimization is a powerful mathematical framework that addresses
decision-making problems in the presence of uncertainty. It provides a systematic approach …