Development of network location in the state of Uncertainty (ROBUST State)

This research investigates issues relating to facilities location which covers network design under the conditions of uncertainty and robust state. In this direction a model is developed in which lack of certainty is taken into consideration regarding parameters such as demand and various costs. Unlike the classical methods that the structure of network is predefined and is predetermined, the facilities location makes decisions with respect to the structure of the network.The discussed issue in many real and actual applications such as roads network, communication systems and etc does exist and locating the facilities and designing the main network simultaneously are considered as important factors; therefore redesigning and optimization of models which look for simultaneous solutions seem essential. There have been various strategies in the literature of uncertainty optimization. Two of the most important strategies are the “Probabilistic Optimization” and “Robust Optimization”.This article employs the robust optimization to resolve the uncertainty and the modelization arguments. Moreover using random samples, the developed model is validated and for further mathematical analysis isutilized.