Since the 1960s, there has been a five to ten-fold surge in natural disasters, leading to
escalating human and financial tolls. Humanitarian Logistics (HL) emerges as a response to …

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 exact deterministic mixed-integer programming (MIP) reformulations of
distributionally robust chance-constrained programs (DR-CCP) with random right-hand …

We study the problem of selecting a set of shelter locations in preparation for natural
disasters. Shelters provide victims of a disaster both a safe place to stay and relief …

Uncertainty is prevalent in engineering design, statistical learning, and decision making
broadly. Due to inherent risk-averseness and ambiguity about assumptions, it is common to …

This study addresses a humanitarian supply chain network that includes locating relief
centers, pre-positioning and distributing relief items, and providing medical treatment in …

In the post-disaster response phase, an efficient relief distribution strategy plays a vital role
in alleviating suffering in disaster-stricken areas, which sometimes becomes challenging in …

This paper considers the problem of supporting immediate response operations after a
disaster with information about the available road network to reach certain locations. We …

Abstract In classic Markov Decision Processes (MDPs), action costs and transition
probabilities are assumed to be known, although an accurate estimation of these …

When a disaster strikes, there is always a demand for life-supporting commodities, whose
slow and ineffective delivery can result in huge human and financial losses. Warehouse …