Abstract
Site selection is one of the main principles of the passive defense. A multiple objective and nonlinear programming formulation which considers the principles of passive defense site selection according to both qualitative and quantitative aspects is proposed in this paper. The aim is to reduce the site selection costs while the security of network formed by the facilities is maximized, and to reduce the costs of the network after being attacked. To solve the proposed model, a GA-TOPSIS method is proposed.
Highlights
Issues related to facility location and layout, have been studied for centuries
The Purpose of this paper is to develop a model for facility location based on passive defense and a solution method for it that can be applicable against Wardens theory
Since the objectives and main principles of site selection’s passive defense of the facility are reducing the possibility and the costs of the damage of the total network created by the site selection’s facility, in this paper the presented model can select the sites in a manner that it maximizes the security coefficient of created network to perform its duty and minimizes the possibility of identification of it by the enemy
Summary
Issues related to facility location and layout, have been studied for centuries. To explain this issue should be said that a special state of location has been solved in the early 17th century. The firm is defined as a productive unit which seeks to maximize profit through production and sales, so most of researchers in this context only focus on the system costs Their results can not solely be applied in passive defense issues because they do not pay attention to the security of facilities places, limitation of their distances, their dispersion to increase the covered areas and reduce their. By the use of the theory of games the problem is solved According to these reasons the necessity to a research which considers the principles of location in terms of passive defense attends the costs of attacks in future is essential
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