Identifying relationships among components of logistic relief assessment in the humanitarian supply chain with fuzzy DEMATEL approach

The humanitarian relief supply chain and rescue in disasters is critical crisis management to save lives, take injured bodies to emergency facilities, remove homeless people and their belongings from destroyed areas supply necessities of people in calamities. The purpose of this research is to present a model to identify associations between logistic components of relief and rescue in crisis upon happening a likely earthquake in Tehran. Initially upon the literature review and evaluation of theoretical foundations, we identified the dimensions and logistic parameters of relief rescue following the opinion of experts and adopting fuzzy screening method. The statistical population consisted of twenty relief rescue logistics experts and professors predominant in these topics. Fuzzy pairwise comparison questionnaires were distributed among experts once dimensions and logistic parameters of relief and rescue were identified. The face validity and reliability of questionnaire were evaluated and confirmed respectively by opinion of experts and use of Gogoous-Boucher method. Dimensional investigation by analysis of fuzzy decision making trial and evaluation laboratory revealed that water and food supply, and providing medical services have greatest influence, whilst removing and sheltering homeless people Incident comes with the highest susceptibility. In the study of indicators, strengthening of residential, office, educational and medical buildings, emergency housing, provision of quality drinking water and the use of modern logistics and relief technologies (rescue set; robots; dogs Rescue ...), the most effective and resilience of power plants, refineries, power transmission lines, oil, gas and sewage arteries, search and rescue of the missing, providing quality food and arrival Relief aid is most effective in the shortest possible time.  The results can give a full mentality of crisis management to understand the logistic components of relief and rescue.