The terms "assistance model" and "framework" are used to describe the relationships and interactions among various actors involved in the rescue environment. The aim of this research is to model and present a comprehensive framework for identifying and analyzing the challenges faced by rescue organizations during the pre- and post-disaster phases in the city of Semnan. This study is applied and developmental in nature, conducted with a descriptive-analytical approach. The statistical population includes 150 managers, experts, and active rescue personnel in the study area. Data collection was carried out using a questionnaire based on indicators derived from the theoretical literature, with its validity confirmed by expert opinions and its reliability verified through Cronbach's alpha coefficient. For data analysis, a combination of the Fuzzy Analytical Network Process (FANP) and the Multi-Criteria Decision-Making (MCDM) technique, WASPAS, was employed. The results showed that among the 12 main identified criteria, all of them had significant and positive weights. The five main challenges with the highest weights are: planning (0.56), logistical and communication issues (0.546), climate and environmental challenges (0.542), policy and governance failures (0.510), and local capacities and resilience (0.503). Therefore, it can be said that the organizational rescue model before and after the disaster occurrence in the study area is significantly related to the aforementioned challenges, respectively, in terms of their weights. These challenges in the rescue organizational model and framework have the greatest impact on the structure and performance of rescue chains and consequently on the type and level of coordination mechanisms in Semnan. Based on the findings, the proposed model can substantially help improve the structure and performance of rescue chains as well as increase the effectiveness of coordination mechanisms during crisis conditions.