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A decision support system for locating weapon and radar positions in stationary point air defence

Author

Listed:
  • Türker Tanergüçlü

    (Turkish Military Academy)

  • Hakan Maraş

    (General Coımmand of Mapping)

  • Cevriye Gencer

    (Gazi University)

  • Haluk Aygüneş

    (Çankaya University)

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.

Suggested Citation

  • Türker Tanergüçlü & Hakan Maraş & Cevriye Gencer & Haluk Aygüneş, 2012. "A decision support system for locating weapon and radar positions in stationary point air defence," Information Systems Frontiers, Springer, vol. 14(2), pages 423-444, April.
    • Handle: RePEc:spr:infosf:v:14:y:2012:i:2:d:10.1007_s10796-010-9269-6
    DOI: 10.1007/s10796-010-9269-6
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    References listed on IDEAS

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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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