Coverage problems and visibility regions on topographic surfaces
Annals of Operations Research
Spatial decision support systems: an overview of technology and a test of efficacy
Decision Support Systems
Geographical information systems and location science
Computers and Operations Research - Location analysis
The generalized maximal covering location problem
Computers and Operations Research - Location analysis
A maximal covering location model in the presence of partial coverage
Computers and Operations Research
Going the last mile: a spatial decision support system for wireless broadband communications
Decision Support Systems
A decision support system for locating VHF/UHF radio jammer systems on the terrain
Information Systems Frontiers
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In this study, a decision support system (DSS) based on the interactive use of location models and geographical information systems (GIS) was developed to determine the optimal positions for air defence weapons and radars. In the location model, the fire units are considered as the facilities to be located and the possible approach routes of air vehicles are treated as demand points. Considering the probability that fire by the units will miss the targets, the objective of the problem is to determine the positions that provide coverage of the approach routes of the maximum number of weapons while considering the military principles regarding the tactical use and deployment of units. In comparison with the conventional method, the proposed methodology presents a more reliable, faster, and more efficient solution. On the other hand, owing to the DSS, a battery commander who is responsible for air defence becomes capable of determining the optimal weapon and radar positions, among the alternative ones he has identified, that cover the possible approach routes maximally. Additionally, he attains the capability of making such decisions in a very short time without going to the field over which he will perform the defence and hence without being subject to enemy threats. In the decision support system, the digital elevation model is analysed using Map Objects 2.0, the mathematical model is solved using LINGO 4.0 optimization software, and the user interface and data transfer are supported by Visual Basic 6.0.