A Decision Support System for Locating Weapon and Radar Positions in Stationary Point Air Defence
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Date
2012
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Publisher
Springer
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Abstract
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.
Description
Maras, Hadi Hakan/0000-0001-5117-3938
ORCID
Keywords
Facility Location, Maximum Expected Covering Model, Geographical Information Systems, Decision Support System, Air Defence
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Tanergüçlü, T...et al (2012). A decision support system for locating weapon and radar positions in stationary point air defence. Information Systems Frontiers, 14(2), 423-444). http://dx.doi.org/10.1007/s10796-010-9269-6
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OpenCitations Citation Count
15
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Volume
14
Issue
2
Start Page
423
End Page
444
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CrossRef : 6
Scopus : 24
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Mendeley Readers : 25
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24
checked on Nov 24, 2025
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16
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