Sharif Digital Repository

In earthquake-prone communities, the post-earthquake functionality of hospitals is crucial. Hospitals can dramatically reduce earthquake casualties if they can remain functional and retain service continuity. A variety of earthquake-induced problems such as damage to hospital components, unavailability of medical staff, disruption in medicine supply, and failure of supporting infrastructure systems can negatively affect the functionality of a hospital. Hospital administrators and facility managers require appropriate tools to assess the effect of these problems on hospital functionality. This research presents a probabilistic framework to assess the functionality of hospitals following... 

Research and information available shows that the number of natural disasters are increasing dramatically; hence disaster management is being raised as one of the most important topics in this field. The relief logistics is the greater part of disaster management model.
In this study, in order to manage the logistics activities effectively in a response phase of an earthquake, a hybrid meta-heuristic algorithm is developed for a transportation network. Then, the proposed algorithm is tested on a small part of Tehran.
 

In this research we study the capacity on insurance industry to respond to catastrophe risk. For this purpose we use insurance factory data from 1383 to 1394 and based on variables such as fire premium, loss, payment and financial data during the period. Estimations were made based on two cases: using raw data and detrend it. The result in both cases indicate that the insurance industry does not have the sufficient capacity to respond to potential loss caused by natural disaster  

In recent years, climate change due to greenhouse gases caused an increase in frequency and intensity of the natural disasters such as hurricanes, blizzards and floods. Moreover, it is anticipated that such events will increase in the future. As a result, power system decision makers are looking for methods to improve power system resiliency against such natural disasters with low occurrence probability and high impact. In this report, the distribution system resiliency has improved via placing remote control sectionalizing switches and micro grids formation during natural disasters. In this regard, the concept of resiliency and its characteristics along with the effect of remote control... 

The occurrence of natural disasters and damages caused by them has greatly impacted humans' lives, which reveals need for us to prepare for confrontation with various disasters. For this purpose, in this research, we are seeking to develop a programming model to reduce damages caused by various disasters. This thesis includes 3 main sections. In first section, some major impacts of disasters are reviewed and studied during the past 118 years and some major lessons are summarized based on statistical data analysis. In second section, a 3-demontional probability density function has been developed to categorize different types of disasters. Furthermore, a scaling system is presented to... 

Natural disasters claim major losses in human lives and belongings, as well as national infrastructures. Taking major earthquake as an example, the study has considered two sides of the problem, both before and after the incident. The former side is formulated as a multipartite optimization problem, in which each party’s activities are directed toward the long-term solution of the original problem. A heuristic method to solve the multipartite problem, and solve three example problems to show the applicability of the method was proposed. The solutions of example problems show that a directed problem solution reaches a better solution (in terms of the objective function value) than the... 

This study provides a probabilistic framework for assessing and quantifying flood damage to infrastructure. This framework models the state of the community's infrastructure after the occurrence of possible floods in five steps. The first step is to model the hazard using a set of models that determine the characteristics of potential floods. The second step is to model and estimate the damage to community buildings and infrastructure. In the third step, infrastructure serviceability is modeled. The infrastructures that are modeled in this study are water distribution network, power network, transportation networks and industrial facilities for processing agricultural products. In the fourth... 

In this thesis, we consider the capacitated vehicle routing problem (CVRP) and the split delivery vehicle routing problem (SDVRP), with uncertain travel times and demands in the process of planning vehicle routes for delivering critical supplies to the affected population in need after a disaster. A robust optimization approach, introduced in the literature, is used for CVRP and SDVRP, in which, as Li and Chung have done, five objective functions are considered: minimization of the total number of vehicles deployed (minV), the total travel time/travel cost (minT), the summation of arrival times (minS), the summation of demand-weighted arrival times (minD), and the latest arrival time...