Journals / Mühendislik Bilimleri ve Tasarım Dergisi / 2026 / Cilt: 6 Sayı: 3

DETERMINATION OF EMERGENCY ASSEMBLY POINTS ON CAMPUS: A CASE STUDY OF SULEYMAN DEMIREL UNIVERSITY

YERLEŞKE İÇİ ACİL DURUM TOPLANMA YERLERİNİN BELİRLENMESİ: SÜLEYMAN DEMİREL ÜNİVERSİTESİ ÖRNEĞİ

Pages
520–531
Publication Date
2018-09-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results were evaluated in detail and reported to the relevant units.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the problem of determining the emergency assembly points of the Süleyman Demirel University in Isparta and the distribution of the university units to these assembly points is discussed.
📊
Key Findings & Data:In the case of disaster in the province of Isparta, it is aimed that the professional teams at the university will be transferred to the emergency assembly points of the university within the university.
💡
Conclusion & Impact:The results were evaluated in detail and reported to the relevant units.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Acil durum toplanma yerleri · Gri kümeleme · Afet yönetimi

Abstract

In this study, the problem of determining the emergency assembly points of the Süleyman Demirel University in Isparta and the distribution of the university units to these assembly points is discussed. In the case of disaster in the province of Isparta, it is aimed that the professional teams at the university will be transferred to the emergency assembly points of the university within the university. Grey clustering method was used in the distribution of the related units to the designated points and a distribution plan was obtained with respect to the five different models proposed for distribution to the emergency assembly points. The results were evaluated in detail and reported to the relevant units.

Özet

Bu çalışmada, Isparta ilinde bulunan Süleyman Demirel Üniversitesi’nin acil durum toplanma yerlerinin belirlenmesi ve üniversite birimlerinin bu toplanma merkezlerine dağıtılması problemi ele alınmaktadır. Isparta ilinde meydana gelebilecek afet durumunda üniversitede profesyonel ekiplerin olay yerine intikal edene kadar geçen sürede, üniversite içinde kişilerin kendileri için belirlenen (atandıkları) acil durum toplanma yerlerine geçmeleri amaçlanmıştır. İlgili birimlerin belirlenen alanlara dağıtımı sürecinde gri kümeleme yöntemi kullanılmış ve acil durum toplanma yerlerine dağıtım için önerilen beş farklı modele göre alanların kapasite kullanım oranlarını da dikkate alan dağıtım planı elde edilmiştir. Sonuçlar, detaylıca değerlendirilmiş ve ilgili birimlere bildirilmiştir.

🔖

Cite This Article

Çal, D. Y., Aydemir, E. (2018). DETERMINATION OF EMERGENCY ASSEMBLY POINTS ON CAMPUS: A CASE STUDY OF SULEYMAN DEMIREL UNIVERSITY. Mühendislik Bilimleri ve Tasarım Dergisi, Cilt: 6 Sayı: 3, 520–531. https://doi.org/10.21923/jesd.348507

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References (69)

  1. Ablanedo-Rosas, J.H., Gao, H., Alidaee, B., &Teng, W. (2009). "Allocation of emergency and recovery centres in Hidalgo, Mexico". International Journal of Services Sciences, Cilt:2, Sayı:2, Sayfa:206–218.
  2. Ai, Y., Lu, J., Zhang, L., (2015), “The optimization model for the location of maritime emergency supplies reserve bases and the configuration of salvage vessels”, Transportation Research Part, Sayı:83 Sayfa:170–188
  3. Aktaş, E., Özaydın, Ö., Ülengin, F., Önsel, Ş. ve Ağaran, B., 2011, İstanbul’da itfaiye istasyonu yerlerinin seçimi için yeni bir model, Endüstri Mühendisliği Dergisi, YA/EM 2009 Özel Sayısı, Cilt:22, Sayı:4, Sayfa:2-12.
  4. Balamir, M., 2007, Afet Riski ve Planlama Politikaları, TMMOB Afet Sempozyumu, 5–7 Aralık 2007, İMO Kongre ve Kültür Merkezi Ankara, ISBN: 978-9944-89-425-8 Mattek Matbaacılık Maltepe-Ankara.
  5. Balcik B., Beamon, B.M., (2008). "Facilitylocation in humanitarianrelief". International Journal of Logistics, Cilt:11, Sayı:2, Sayfa:101–121.
  6. Buldurur, M.A., Kurucu, H., 2015, İstanbul’da afet yönetimi ve acil ulaşım yollarının değerlendirilmesi, İstanbul Teknik Üniversitesi Mimarlık Fakültesi Şehir ve Bölge Planlama Bölümü, Cilt:25, Sayı:1, Sayfa:21-31.
  7. Campbell, A. M., Jones, P. C. (2011). "Prepositioningsupplies in preparation for disasters".European Journal of Operational Research, Cilt:209, Sayı:2, Sayfa:156–165.
  8. Cheng, H., Yang, X., (2012). "A Comprehensive Evaluation Model for Earthquake Emergency Shelter". Sustainable Transportation Systems: Sayfa:412-422,DOI:10.1061/9780784412299.00 50.
  9. Çatay, B., Başar, A., Ünlüyurt, T., 2008, “İstanbul’da Acil Yardım İstasyonlarının Yerlerinin Planlanması” Endüstri Mühendisliği Dergisi, Cilt:19, Sayı:4, Sayfa:20-35
  10. Çiçekdağı, H.İ., Kırış, Ş., 2012, Afet istasyonu ve toplanma merkezi için Yer Seçimi ve bir uygulama, Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Sayı:28, Sayfa:67-76.
  11. Çelik, Z., 2000, TBMM Deprem Komisyon Araştırması, Ankara.
  12. Dedeoğlu, N., 2000, “Afetlerle ilgili iki küçük inceleme”, Toplum ve Hekim, Sayı:15, Sayfa:39-40.
  13. Dekle, J., Lavieri, M. S., Martin,E., Emir-Farinas, H., Francis, R. L. (2005). "A Florida county locates disaster recovery centers". Interfaces, Cilt:35, Sayı:2, Sayfa:133-139.
  14. Dessouky, M.M., Ordonez, F., Jia, H., (2009), “Solution Approaches for Facility Location of Medical Supplies for Large-Scale Emergencies”, Non-published Research Reports, Sayı:133, http://research.create.usc.edu/nonpublished_reports/133
  15. Drezner, Z., Marianov, V., Wesolowsky, G.O., (2016), “Maximizing the minimum cover probability by emergency facilities”, Ann Oper Res, Sayı:246, Sayfa:349–362, DOI 10.1007/s10479-014-1726-z
  16. Duran, S., Gutierrez, M. A., Keskinocak, P. (2011). "Pre-positioning of emergencyitems for careinternational. Interfaces, Cilt:41, Sayı:3, Sayfa:223-237.
  17. Erden, T., Coşkun, M.Z., 2010, Acil durum servislerinin yer seçimi: Analitik Hiyerarşi Yöntemi ve CBS entegrasyonu, itü dergisi/ mühendislik, Cilt:9, Sayı:6.
  18. Ergüder, C., 2006, “Entegre Afet Yönetim Sistemi ve İlkeleri”, Afet Yönetiminin Temel İlkeleri, Ankara.
  19. Fontem, B., Melouk, S.H., Keskin, B.B., Bajwa, N., (2016), “A decomposition-based heuristic for stochastic emergency routing problems”, Expert Systems With Applications, Sayı:59, Sayfa: 47–59
  20. Genç, F.N., 2007, Türkiye’de Doğal Afetler ve Doğal Afetlerde Risk Yönetimi. Stratejik Araştırmalar Dergisi, Sayı:9, Sayfa:201–226.
  21. Givechi, S., Attar, M.A., Rashidi, A., Nasbi, N., (2013). "Site selection of temporary housing afterearthquakeby GIS and AHP method Case study: Region 6 of Shiraz", Urban - Regional Studies and Research Journal, Cilt.5, Sayı.17, Sayfa:29-32.
  22. Görmez, N., Köksalan, M., Salman, F. S. (2011). "Locatingdisasterresponsefacilities in Istanbul". Journal of the Operational Research Society, Cilt.62,Sayı.7, Sayfa:1239-1252.
  23. Günneç, D. (2007), Network optimization problems for disastermitigation: Network reliability, investment for infrastructure strengthening and emergency facilitylocation, Yayınlanmamış Yüksek Lisans Tezi, Koç Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul.
  24. Hale, T., Moberg, C.R. (2005), "Improving supply chain disaster preparedness: A decisionprocess for secure site location". International Journal of Physical Distribution & Logistics Management, Cilt:35, Sayı:3, Sayfa:195–207.
  25. Han,Y., Guan, X., Shi, L. (2011), "Optimization based method for supply location selection and routing in large-scale emergency material delivery". IEEE Transactions on Automation Science and Engineering, Cilt:8, Sayı:4, Sayfa:683–693.
  26. Japon Uluslararası İşbirliği Ajansı (JICA), (2004), “Türkiye’de Doğal Afetler Konulu Ülke Strateji Raporu”, Ankara.
  27. Jia, H., Ordóñez, F., Dessouky, M. M., (2007), "Solution approaches for facilitylocation of medical supplies for large-scaleemergencies". Computers & Industrial Engineering, Cilt:52, Sayı:2, Sayfa:257– 276.
  28. Jianyu C., Youpo S., (2011), "Comprehensive evaluation index system in the application for earthquake emergency shelter site". Advanced Materials Research, Cilt:156-157, Sayfa:79-83.
  29. Jianyu C., Youpo S., (2012), "The application of TOPSIS method in selecting fixed seismic shelter for evacuation in cities". Systems Engineering Procedia, Cilt.3, Sayfa:391-397.
  30. Kaili, D., Qingming, Z., Li, S., (2012). "GIS-based responsibility are asubdivision for metropolitan emergency shelters - Case study of Wuchangdistrict, Wuhancity", 6th International Association for China Planning (IACP) Conference, June 17-19, Wuhan, HubeiProvince, China.
  31. Kılcı, F., (2012), A Decision Support System for Shelter Site Selection with GIS Integration: Case for Turkey. Yayınlanmamış Yüksek Lisans Tezi, Bilkent Üniversitesi Fen Bilimleri Enstitüsü, Ankara.
  32. Kılcı, F., Yetiş Kara, B., Bozkaya, B., (2015), "Locating temporary shelte rareas after an earthquake: A case for Turkey", European Journal of Operational Research, Cilt:24, Sayfa323–332.
  33. Kou, P.C., Bollinger, R.R., (2003), “Optimization of Operating Room Allocation Using Linear Programming Techniques”, J Am Coll Surg, Sayı:197, Sayfa:889–895.
  34. Landa-Torres, I., Manjarres, D., Salcedo-Sanz, S., Del Ser, J., Gil-Lopez, S., (2013), “A multi-objective grouping Harmony Search algorithm for the optimal distribution of 24-hour medical emergency units”, Expert Systems with Applications, Sayı: 40, Sayfa: 2343–2349.
  35. Liu, M., Zhao, L., (2007), “An Improved GLP Model base on Complete Center Approach GM(1,1) for Emergency Logistics Distribution”, Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, November, Sayfa:18-20, Nanjing, China.
  36. Lixin, Y., Lingling, G., Dong, Z., Junxue, Z., Zhanwu, G., (2012), “An analysis on disasters management system in China”, Natural Hazards, Cilt:60, Sayı:2, Sayfa:295-309.
  37. Lu, C.C., (2013), “Robust weighted vertex p-center model considering uncertain data: An application to emergency management” European Journal of Operational Research, Sayı: 230, Sayı:113–121.
  38. Lu, X.L., Yun-xian, H. (2009), "Ant colony optimization for facilityl ocation for large scale emergencies. International Conference on Management and Service Science (MASS 2009), Wuhan, China.
  39. Lu, X.L., Hou, Y.X., Lin, W. (2011), "Functional Optimization of Emergency Medical Service Centre of Small Town Based on Facility Location Theory: A Case Study of Teng Zhou City in Shan Dong Province". Economic Geography, Cilt.31, Sayfa:1119-1123.
  40. Malinverni, E.S., Fangi, G., (2009), “Comparative cluster analysis to localize emergencies in archaeology”, Journal of Cultural Heritage, Sayı.10, Sayfa.10-19, DOI:10.1016/j.culher.2009. 07.004.
  41. Mete, O., Zabinsky, Z.B., 2010, International Journal of Production Economics, Stochastic o-ptimization of medical supply location and distribution in disaster management, Sayı:126, Sayfa:76-84.
  42. Murali, P., Ordóñez, F., Dessouky, M.M. (2012). "Facility location under demand un certainty: Responseto a large-scalebio-terrorattack". Socio-Economic Planning Sciences, Cilt:46, Sayı:1, Sayfa:78–87.
  43. Nozick, L.K., Turnquist, M. A., 2001, “Inventory, transportation, service quality and the location of distribution centers”, European Journal of Operational Research, Cilt:129, Sayı:2, Sayfa: 362-371.
  44. Oktay. E., 1998, “Acil Yardım Planlaması ve Afet Yönetimi”, AİGM, Ankara.
  45. Özdamar K., 2004, Paket Programlar İle İstatistiksel Veri Analizi 2, Kaan Kitabevi, 5. Baskı, Eskişehir, Türkiye, Sayfa:213-230,279-292.
  46. Özmen, B., Nurlu, M., Güler, H., 1997, Coğrafi Bilgi Sistemleri İle Deprem Bölgelerinin İncelenmesi, Afet İşleri Genel Müdürlüğü, Ankara.
  47. Peeta, S., Salmanb, F.S., Günneç D., Viswanathd, K., (2010), “Pre-disaster investment decisions for strengthening a highway network”, Computers & Operations Research, Cilt: 37, Sayı:10, Ekim, Sayfa:1708–1719
  48. Peker, İ., Korucuk, S., Ulutaş, Ş., Sayın Okatan, B., Yaşar, F., (2016), “Afet Lojistiği Kapsamında En Uygun Dağıtım Merkez Yerinin Ahs-Vıkor Bütünleşik Yöntemi İle Belirlenmesi: Erzincan İli Örneği”, Yönetim ve Ekonomi Araştırmaları Dergisi, Cilt:14, Sayı:1, Ocak, Doi:http://dx.doi.or g /10.11611/JMER728.
  49. Rawls,C.G., Turnquist,M.A.(2010). Pre-positioning of emergency supplies for disaster response. Transportation Research Part B: Methodological, Cilt:44, Sayı:4, Sayfa:521–534.
  50. Ruan, J.H., Wang, X.P., Chan,F.T.S., Shi, Y., (2016), “Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering”, International Journal of Production Research, Cilt:54, Sayı:14, Sayfa: 4368-4386,DOI:10.1080/00207543.2016.11743 44.
  51. Salman, F.S., Yücel, E., (2015), “Emergency facility location under random network damage: In sights from the Istanbul case”, Computers & Operations Research, Sayı:62, Sayfa:266–281.
  52. Selim, H., Özkarahan, i., 2003, “Acil Servis Araçları yerleşiminin Belirlenmesinde Yeni Bir Model”, Endüstri Mühendisliği Dergisi, Cilt: 14, Sayı:1, Sayfa:18-27.
  53. Sheu, J.B., Pan, C., (2014), “A method for designing centralized emergency supply network to respond to large-scale natural disasters”, Transportation Research Part B, Sayı: 67, Sayfa:284–305.
  54. Temiz, S., 1998, "Afet, Afet Türleri ve Afette Karşılaşılan Sorunlar", Sivil Savunma Dergisi, Cilt:151, Sayı:40, Sayfa:24-25.
  55. Toro-Díaz, H., Mayorga, M.E., Chanta, S., McLay, L.A. (2013). Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering, Cilt:64, Sayı:4, Sayfa:917- 928.
  56. Yılmaz, A., 2004, “Afet Yönetimi”, Sivil Savunma Dergisi, Cilt:177, Sayı:46, Sayfa:18-24.
  57. Yi, W., Ozdamar, L., 2004, “Fuzzy modeling for coordinating logistics in emergencies”, International Scientific Journal of Methods and Models of Complexity-Special Issue on Societal Problems in Turkey, Cilt:7, Sayı:1.
  58. Yingzhen, C., Qiuhong, Z., Dessouky, M., (2013), “A Bi-objective Decision Model of Medical Center Location for Emergency Incidents”, 6th International Conference on Information Management, Innovation Management and Industrial Engineering, 978-1-4799-0245-3/13.
  59. Zhao,X., Xu, W., Ma, Y., Hu, F., (2015). " Scenario-Based Multi-Objective Optimum Allocation Model for EarthquakeEmergencyShelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in ChaoyangDistrict, Beijing, China", Plos One, DOI:10.1371/journal.pone.0144455
  60. Zhu, j., Liu, D., Huang, J., Han, J., 2010, “Determining Storage Locations and Capacities for Emergency Response”, The Ninth International Symposium on Operations Research and Its Applications (ISORA '10), Chengdu-Jiuzhaigou, China.
  61. Ablanedo-Rosas, J.H., Gao, H., Alidaee, B., &Teng, W. (2009). "Allocation of emergency and recovery centres in Hidalgo, Mexico". International Journal of Services Sciences, Cilt:2, Sayı:2, Sayfa:206–218.
  62. Aktaş, E., Özaydın, Ö., Ülengin, F., Önsel, Ş. ve Ağaran, B., 2011, İstanbul’da itfaiye istasyonu yerlerinin seçimi için yeni bir model, Endüstri Mühendisliği Dergisi, YA/EM 2009 Özel Sayısı, Cilt:22, Sayı:4, Sayfa:2-12.
  63. Drezner, Z., Marianov, V., Wesolowsky, G.O., (2016), “Maximizing the minimum cover probability by emergency facilities”, Ann Oper Res, Sayı:246, Sayfa:349–362, DOI 10.1007/s10479-014-1726-z
  64. Erden, T., Coşkun, M.Z., 2010, Acil durum servislerinin yer seçimi: Analitik Hiyerarşi Yöntemi ve CBS entegrasyonu, itü dergisi/ mühendislik, Cilt:9, Sayı:6.
  65. Han,Y., Guan, X., Shi, L. (2011), "Optimization based method for supply location selection and routing in large-scale emergency material delivery". IEEE Transactions on Automation Science and Engineering, Cilt:8, Sayı:4, Sayfa:683–693.
  66. Kaili, D., Qingming, Z., Li, S., (2012). "GIS-based responsibility are asubdivision for metropolitan emergency shelters - Case study of Wuchangdistrict, Wuhancity", 6th International Association for China Planning (IACP) Conference, June 17-19, Wuhan, HubeiProvince, China.
  67. Landa-Torres, I., Manjarres, D., Salcedo-Sanz, S., Del Ser, J., Gil-Lopez, S., (2013), “A multi-objective grouping Harmony Search algorithm for the optimal distribution of 24-hour medical emergency units”, Expert Systems with Applications, Sayı: 40, Sayfa: 2343–2349.
  68. Ruan, J.H., Wang, X.P., Chan,F.T.S., Shi, Y., (2016), “Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering”, International Journal of Production Research, Cilt:54, Sayı:14, Sayfa: 4368-4386,DOI:10.1080/00207543.2016.11743 44.
  69. Toro-Díaz, H., Mayorga, M.E., Chanta, S., McLay, L.A. (2013). Joint location and dispatching decisions for Emergency Medical Services. Computers & Industrial Engineering, Cilt:64, Sayı:4, Sayfa:917- 928.