Journal of the Operational Research Society, 2026 (SCI-Expanded, SSCI, Scopus)
Emergency relief items are in high demand immediately following a disaster, and their timely delivery is critical to minimising losses. However, post-disaster transportation disruptions hinder the rapid distribution of supplies to affected areas. To overcome this challenge, the use of locally positioned storage facilities plays a vital role in ensuring effective disaster response. As part of pre-disaster preparedness efforts, strategically placing disaster containers in high-risk regions is essential. These customised containers are stocked with essential emergency relief supplies to enable quick access in the aftermath of a disaster. Proper location selection of these containers significantly enhances accessibility, thereby reducing losses and improving response efficiency. Motivated by this need, this study proposes a fuzzy multi-criteria decision-making (MCDM) model for determining the optimal locations of disaster containers. The selection criteria are defined through literature review and expert consultation. The evaluation of candidate locations is performed using the Fuzzy Graph Theory and Matrix Approach (fuzzy GTMA), an MCDM technique grounded in graph theory. A fuzzy set covering model is subsequently integrated to finalise the optimal selection of container sites. The proposed model is applied to a real-world case study in Narlıdere, Izmir, under various parameter scenarios to assess its robustness and practical applicability.