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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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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

Keywords

Facility Location, Maximum Expected Covering Model, Geographical Information Systems, Decision Support System, Air Defence

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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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15

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14

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2

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423

End Page

444
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CrossRef : 6

Scopus : 24

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24

checked on Nov 24, 2025

Web of Science™ Citations

16

checked on Nov 24, 2025

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