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Multi-venue location optimization with overlapping audience reach areas

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  • Shervin Shams-Shoaaee

    (Department of National Defence)

Abstract

The Canadian Armed Forces (CAF) is currently facing recruitment challenges. Similar to target market advertising in other industries, military recruitment can be optimized by aiming recruitment efforts at populations with high enrolment success potential. Using historical data, geographical regions with high potential for recruitment can be identified. This can be used to optimize the reach of recruitment events to high potential geographical regions. This paper looks at applications of facility location optimization in recruitment attraction event planning activities where there are intersections in regions each venue can attract audiences from (venue reach areas), and the probability that the events will attract targeted audience varies by geographical location. This study models the problem as a mixed integer nonlinear problem (MINLP) and provides an exact solution method. This is followed by a case study applying the model to the CAF’s recruitment events for a sample geographical area of the Canadian National Capital Region (NCR).

Suggested Citation

  • Shervin Shams-Shoaaee, 2024. "Multi-venue location optimization with overlapping audience reach areas," Operational Research, Springer, vol. 24(4), pages 1-16, December.
  • Handle: RePEc:spr:operea:v:24:y:2024:i:4:d:10.1007_s12351-024-00868-z
    DOI: 10.1007/s12351-024-00868-z
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    References listed on IDEAS

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    1. Nazlı Dolu & Umur Hastürk & Mustafa Kemal Tural, 2020. "Solution methods for a min–max facility location problem with regional customers considering closest Euclidean distances," Computational Optimization and Applications, Springer, vol. 75(2), pages 537-560, March.
    2. Akgün, İbrahim & Gümüşbuğa, Ferhat & Tansel, Barbaros, 2015. "Risk based facility location by using fault tree analysis in disaster management," Omega, Elsevier, vol. 52(C), pages 168-179.
    3. Wenxuan Shan & Qianqian Yan & Chao Chen & Mengjie Zhang & Baozhen Yao & Xuemei Fu, 2019. "Optimization of competitive facility location for chain stores," Annals of Operations Research, Springer, vol. 273(1), pages 187-205, February.
    4. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
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