The growing field of humanitarian operations is driven by frequent events of disasters seen
in the world today. Within this field, Operations Research (OR) plays a critical role in …

Resource transport in the aftermath of disasters is critical, yet in the absence of sufficient
historical data or accurate forecasting approaches, the development of resource transport …

Humanitarian aid in disasters is critical to saving lives and alleviating human suffering. This
paper presents a novel scenario-based robust bi-objective optimization model that …

Along with the destructive effects of catastrophes throughout the world, the COVID-19
outbreak has intensified the severity of disasters. Although the global aid organizations and …

Purpose This paper aims to examine and compare extant literature on the application of
multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and …

A green stochastic open location-routing problem (GSOLRP) is generally a combined
location-routing problem and set of green vehicles (eg, hybrid vehicles corresponding to …

Natural disasters cause heavy casualties and financial losses annually. To reduce these
damages, the rescue teams need to be planned effectively. In this regard, in this research, a …

This study investigates the barriers to managing debris waste in the post-earthquake period
in Türkiye following the significant earthquakes of 2023. Debris waste in the aftermath of …

In disaster response phase, different types of emergency relief materials are prepared
simultaneously. Assorting and packing a proportion of relief items into relief kits will benefit …

This paper addresses the rescue unit allocation and scheduling problem (RUASP) with
fuzzy processing times through an evolutionary approach. The goal of RUASP is to …