Research Article
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Year 2020, Volume: 31 Issue: 1, 28 - 47, 30.04.2020

Abstract


References

  • Ayöperken, E. ve Ermiş, M. (2011). İnsansız hava araçları için üs konumlarının kapsama alanı problemi olarak modellenmesi ve eniyilenmesi. Havacılık ve Uzay Teknolojileri Dergisi, 5(1), 61-71.
  • Başdemir, M. M. (2004). Locating search and rescue stations in the aegean and western mediterranean regions of turkey. Journal of Aeronautics and Space Technologie, 1(3), 63-76.
  • Batta, R. ve Mannur, N. R. (1990). “Covering-location models for emergency situations that require multiple response units. Management Science, 16, 16-23.
  • Blanqueroa, R., Carrizosaa, E. ve G.-Tóth, B. (2016). Maximal covering location problems on networks with regional demand, Omega, 64, 77-85.
  • Chung, C. (1986). Recent applications of the maximal covering location planning model. Journal of Operational Research Society, 17(8), 735-746.
  • Church, R. ve ReVelle, C. (1974). The maximal covering location problem. Papers of the Regional Science Association, 16, 101 - 118.
  • Coco, A. A., Santos, A. C. ve Noronha, T. F. (2018). Formulation and algorithms for the robust maximal covering location problem. Electronic Notes in Discrete Mathematics, 64, 2018, 145-154.
  • Cordeaua, J. F., Furini, F. ve Ljubic´, L. (2019). Benders decomposition for very large scale partial set covering and maximal covering location problems, European Journal of Operational Research, 275, 882–896.
  • Curtin, K. M., Hayslett, K. ve Qiu, F. (2010). Determining optimal police patrol areas with maximal covering and backup covering location models. Networks and Spatial Economics, 10(1), 125–145, doi:10.1007/s11067-007-9035-6.
  • Daskin, M. S. ve Stern, E.H. (1981). A hierarchical objective set covering model for emergency medical service vehicle deployment. Transportation Science, 15(2), 137-152.
  • Davari, S., Zarandi, M. H. F. ve Hemmati, A. (2011). Maximal covering location problem (MCLP) with fuzzy travel times. Expert Systems with Applications, 38(12), 14535–14541.
  • Densham, P. J. ve Rushton, G. (1992). A more efficient heuristic for solving large p-median problems. Papers in Regional Science: The Journal of The RSAI, 72, 307-329.
  • Drakulic´, D., Takaci, A. ve Maric´, M. (2016). New model of maximal covering location problem with fuzzy conditions. Computing and Informatics, 35, 635–652.
  • Drezner, Z. ve Wesolowsky, G.O. (1995). Location on a one-way rectilinear grid. Journal of the Operational Research Society, 46(6), 735-746.
  • Garey, M. R. ve Johnson, D. S. (1979). Computers and intractability: A guide to the theory of NP-completeness, New York USA: Freeman and Company.
  • Gencer, C. ve Açıkgöz, A. (2006). Türk Silahlı Kuvvetleri arama kurtarma timlerinin yerleşiminin yeniden düzenlenmesi. Gazi Üniv. Müh. Mim. Fak. Der., 21(1), 87-105.
  • Ghosh, A. ve Rushton G. (1987). Spatial Analysis and Location-Allocation Models, New York, Van Nostrand Reinhold.
  • Hakimi, S. L. (1964). Optimum locations of switching centers and the absolute centers and medians of a graph. Operations Research, 12, 450 - 459.
  • Kurban, Ö.F. ve Can, T. (2016). Acil istihbarat, gözetleme ve keşif ihtiyaçları için mini insansız hava araçlarının yer kontrol istasyonlarının seçimi. Marmara Üniversitesi Öneri Dergisi, 12(45), doi: 10.14783/od.v12i45.1000020003
  • Lorena, A. N. ve Pereira, M. A. (2002). A lagrangean/surrogate heuristic for the maximal covering problem using Hillsman’s edition. International Journal of Industrial Engineering, 9(1), 57-67.
  • Marianov, V. ve ReVelle, C. S. (1995). Siting Emergency Services”, Z. Drezner (Ed.), Facility Location: A Survey of Articles, Applications And Methods, New York USA: Springer Series in Operations Research.
  • Máximo, V. R., Nascimento, M. C. ve Carvalho, A. C. (2017). Intelligent-guided adaptive search for the maximum covering location problem. Computers & Operations Research, 78, 129–137.
  • Neebe, A. W. (1988). A procedure for locating emergency-service facilities for all possible response distances. Journal Of The Operational Research Society, 39(8), 743-748.
  • Owen, S. H. ve Daskin, M. S. (1998). Strategic Facility Location: A Review. European Journal of Operational Research, 111, 423-447.
  • ReVelle, C. S. Williams J. C. ve Boland, J. J. (2002). Counterpart Models in Facility Location Science and Reserve Selection Science. Environmental Modeling and Assessment, 7, 71-80.
  • ReVelle, C., Scholssberg, M. ve Williams, J. (2008). Solving the maximal covering location problem with heuristic concentration. Computers & Operations Research, 35(2), 427–435.
  • Richard, D., Beguin, H. ve Peeters, D. (1990). The Location of Fire Stations in a Rural Environment: A Case Study. Environment and Planning A: Economy and Space, XXII, 39-52.
  • Serra, D. ve Revelle, C. (1995). Competitive Location in Discrete Space”, Z. Drezner (Ed.), Facility Location: A Survey of Articles. New York USA: Applications and Methods, Springer Series in Operations Research.
  • Zarandi, M. F., Davari, S., ve Sisakht, S. H. (2011). The large scale maximal covering location problem. Scientia Iranica, 18(6), 1564–1570.

JANDARMA KARAKOLLARININ YER SEÇİMİNİN ENBÜYÜK KAPSAMA METODU İLE BELİRLENMESİ

Year 2020, Volume: 31 Issue: 1, 28 - 47, 30.04.2020

Abstract

Bu çalışma,
emniyet ve asayiş hizmetlerinin etkili bir şekilde yürütülmesi için oluşturulan
jandarma karakollarının, bir ilçe sınırları içindeki en uygun tesis yerlerinin
belirlenmesini amaçlamaktadır. Jandarma karakollarının tesis yerlerinin
belirlenmesi problemi bir Maksimal Kaplama Problemi olarak modellenmiştir. Örnek
olarak seçilen bölgede ilk önce her jandarma karakolunun meydana gelen olaylara
müdahale kriterine göre kaplama mesafeleri, daha sonra bölgede potansiyel
karakol yerlerini temsilen aday noktaları ve karakolların müdahale etmesi
gereken olayları temsilen talep (istek) noktaları belirlenmiştir. Aday
noktalarının seçimindeki belirsizliği en aza indirmek için modele, bölgesel özellikleri
temsil eden kısıtlar eklenmiştir. Ayrıca, olay yoğunlukları göz önünde
bulundurularak talep noktalarına öncelikler (ağırlık) verilmiştir. Problem için
geliştirilen modelde dört ayrı senaryo ele alınmış ve her senaryo için LINGO
yazılımı kullanılarak optimal çözümler elde edilmiştir. Daha sonra, problem
parametreleri değiştirilmek suretiyle optimal çözümlerin değişimi
incelenmiştir.

References

  • Ayöperken, E. ve Ermiş, M. (2011). İnsansız hava araçları için üs konumlarının kapsama alanı problemi olarak modellenmesi ve eniyilenmesi. Havacılık ve Uzay Teknolojileri Dergisi, 5(1), 61-71.
  • Başdemir, M. M. (2004). Locating search and rescue stations in the aegean and western mediterranean regions of turkey. Journal of Aeronautics and Space Technologie, 1(3), 63-76.
  • Batta, R. ve Mannur, N. R. (1990). “Covering-location models for emergency situations that require multiple response units. Management Science, 16, 16-23.
  • Blanqueroa, R., Carrizosaa, E. ve G.-Tóth, B. (2016). Maximal covering location problems on networks with regional demand, Omega, 64, 77-85.
  • Chung, C. (1986). Recent applications of the maximal covering location planning model. Journal of Operational Research Society, 17(8), 735-746.
  • Church, R. ve ReVelle, C. (1974). The maximal covering location problem. Papers of the Regional Science Association, 16, 101 - 118.
  • Coco, A. A., Santos, A. C. ve Noronha, T. F. (2018). Formulation and algorithms for the robust maximal covering location problem. Electronic Notes in Discrete Mathematics, 64, 2018, 145-154.
  • Cordeaua, J. F., Furini, F. ve Ljubic´, L. (2019). Benders decomposition for very large scale partial set covering and maximal covering location problems, European Journal of Operational Research, 275, 882–896.
  • Curtin, K. M., Hayslett, K. ve Qiu, F. (2010). Determining optimal police patrol areas with maximal covering and backup covering location models. Networks and Spatial Economics, 10(1), 125–145, doi:10.1007/s11067-007-9035-6.
  • Daskin, M. S. ve Stern, E.H. (1981). A hierarchical objective set covering model for emergency medical service vehicle deployment. Transportation Science, 15(2), 137-152.
  • Davari, S., Zarandi, M. H. F. ve Hemmati, A. (2011). Maximal covering location problem (MCLP) with fuzzy travel times. Expert Systems with Applications, 38(12), 14535–14541.
  • Densham, P. J. ve Rushton, G. (1992). A more efficient heuristic for solving large p-median problems. Papers in Regional Science: The Journal of The RSAI, 72, 307-329.
  • Drakulic´, D., Takaci, A. ve Maric´, M. (2016). New model of maximal covering location problem with fuzzy conditions. Computing and Informatics, 35, 635–652.
  • Drezner, Z. ve Wesolowsky, G.O. (1995). Location on a one-way rectilinear grid. Journal of the Operational Research Society, 46(6), 735-746.
  • Garey, M. R. ve Johnson, D. S. (1979). Computers and intractability: A guide to the theory of NP-completeness, New York USA: Freeman and Company.
  • Gencer, C. ve Açıkgöz, A. (2006). Türk Silahlı Kuvvetleri arama kurtarma timlerinin yerleşiminin yeniden düzenlenmesi. Gazi Üniv. Müh. Mim. Fak. Der., 21(1), 87-105.
  • Ghosh, A. ve Rushton G. (1987). Spatial Analysis and Location-Allocation Models, New York, Van Nostrand Reinhold.
  • Hakimi, S. L. (1964). Optimum locations of switching centers and the absolute centers and medians of a graph. Operations Research, 12, 450 - 459.
  • Kurban, Ö.F. ve Can, T. (2016). Acil istihbarat, gözetleme ve keşif ihtiyaçları için mini insansız hava araçlarının yer kontrol istasyonlarının seçimi. Marmara Üniversitesi Öneri Dergisi, 12(45), doi: 10.14783/od.v12i45.1000020003
  • Lorena, A. N. ve Pereira, M. A. (2002). A lagrangean/surrogate heuristic for the maximal covering problem using Hillsman’s edition. International Journal of Industrial Engineering, 9(1), 57-67.
  • Marianov, V. ve ReVelle, C. S. (1995). Siting Emergency Services”, Z. Drezner (Ed.), Facility Location: A Survey of Articles, Applications And Methods, New York USA: Springer Series in Operations Research.
  • Máximo, V. R., Nascimento, M. C. ve Carvalho, A. C. (2017). Intelligent-guided adaptive search for the maximum covering location problem. Computers & Operations Research, 78, 129–137.
  • Neebe, A. W. (1988). A procedure for locating emergency-service facilities for all possible response distances. Journal Of The Operational Research Society, 39(8), 743-748.
  • Owen, S. H. ve Daskin, M. S. (1998). Strategic Facility Location: A Review. European Journal of Operational Research, 111, 423-447.
  • ReVelle, C. S. Williams J. C. ve Boland, J. J. (2002). Counterpart Models in Facility Location Science and Reserve Selection Science. Environmental Modeling and Assessment, 7, 71-80.
  • ReVelle, C., Scholssberg, M. ve Williams, J. (2008). Solving the maximal covering location problem with heuristic concentration. Computers & Operations Research, 35(2), 427–435.
  • Richard, D., Beguin, H. ve Peeters, D. (1990). The Location of Fire Stations in a Rural Environment: A Case Study. Environment and Planning A: Economy and Space, XXII, 39-52.
  • Serra, D. ve Revelle, C. (1995). Competitive Location in Discrete Space”, Z. Drezner (Ed.), Facility Location: A Survey of Articles. New York USA: Applications and Methods, Springer Series in Operations Research.
  • Zarandi, M. F., Davari, S., ve Sisakht, S. H. (2011). The large scale maximal covering location problem. Scientia Iranica, 18(6), 1564–1570.
There are 29 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

Hüseyin Ali Sarıkaya 0000-0001-5072-5067

Publication Date April 30, 2020
Acceptance Date March 2, 2020
Published in Issue Year 2020 Volume: 31 Issue: 1

Cite

APA Sarıkaya, H. A. (2020). JANDARMA KARAKOLLARININ YER SEÇİMİNİN ENBÜYÜK KAPSAMA METODU İLE BELİRLENMESİ. Endüstri Mühendisliği, 31(1), 28-47.

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