BibTex RIS Kaynak Göster

DISASTER LOGISTICS FACILITY LOCATION PROBLEM: AN APPLICATION FOR TRA1 REGION

Yıl 2017, Cilt: 5 Sayı: 5, 323 - 342, 01.07.2017

Osman Demirdöğen Hamit Erdal Fatma Gül Yazıcılar Selin Aykol

Öz

Disasters are events that occur outside of human control, which may lead to loss of life and property. Turkey is one of the countries signiŞcantly affected by natural disasters, especially earthquakes, floods and landslides. Effective disaster management is needed to reduce the impact of natural disasters. As a part of risk management, the determination of the locations of the facilities to be used for disaster response personnel, materials, vehicles, etc. is a strategic level decision that can directly affect the success of intervention after the disasters. In this study, the problem of locating of distribution center for three provinces in TRA1 Region Erzurum, Erzincan, Bayburt was addressed in order to determine the most suitable distribution center location within the scope of disaster logistics. In this context, Stochastic Multiple Criteria Admissibility Analysis-2 SMAA-2 method was utilized in this study due to difficulties in expressing the preferences of the experts in the interviews and also because the criteria weights and the exact criterion values of alternative province couldn't be reached

Anahtar Kelimeler

Disaster Logistics Distribution Center Facility Location

Kaynakça

  • Ağdaş, M., Bali, Ö. and Ballı, H. (2014). “Location Selection for Distrubution Center in Disaster Logistics: an Application with SMAA-2 Method” Journal of the Academy Beykoz, 2(1), 75-95.
  • Altay, N., & Green, W. G. (2006). “OR/MS Research in Disaster Operations Management” European Journal of operational Research, 175(1), 475-493.
  • Artalejo, Jesus R. (2000) “G-networks: A Versatile Approach for Work Removal in Queueing Networks” European Journal of Operational Research, 126, 233-249.
  • Aslan, H. M., Yıldız, M. S., & Uysal, H. T. (2015). “Application of Fuzzy TOPSIS Method on Location Selection of Disaster Stations: A Location Analysis in Düzce” Journal of Politics, Economics and Management Research, 3(2) 111-128.
  • Beamon, O. and D. Krass, M. B. C. Menezes. (2007) “Facility Reliability Issues in Network P-Median Problems: Strategic Centralization and Co-Location Effects”, Operations Research, LV, 2, 332-350.
  • Coles, S. and L. Pericchi. (2003) “Anticipating Catastrophes Through Extreme Value Modelling”, Journal of the Royal Statistical Society: Series C (Applied Statistics), LII, 405-416
  • Cret, L. and F. Yamazaki, S. Nagata, T. Katayama. “Earthquake Damage Estimation and Decision Analysis for Emergency Shut-Off of City Gas Networks Using Fuzzy Set Theory”, Structural Safety, XII, 1, 1993, 1-19.
  • Dessouky, M. and F. Ordonez, H. Jia, Z. Shen. “Rapid Distribution of Medical Supplies” R. HALL (Ed.), Delay Management in Healthcare Systems, New York, Springer, 91, 2006, 309-338.
  • Duran, S. and M. A. Gutierrez, P. Keskinocak, (2011) “Pre-positioning of Emergency Items Worldwide for CARE International”, Interfaces.
  • Esogbue, A.O. and M. Theologidu, K. Guo. (1992) “On the Applications of Fuzzy Sets Theory to the Optimal Flood Control Problem Arising in Water Resources Systems”, Fuzzy Sets and Systems, XLVII, 2, 155-172.
  • Gümüşbuğa, F. (2012). Risk Based Plant Site Selection with Error Tree Analysis in the Scope of Disaster Management, (Unpublished Master Thesis), Military Academy, Defense Science Institute, Ankara.
  • Güzel, D. (2016). Yeniliğin İşletme Performansına Etkisi: İmalatçı Kobi’lerde Bir Araştırma. Ankara: İmaj Publisher.
  • Hale, T., & Moberg, C. R. (2005). “Improving Supply Chain Disaster Preparedness: A Decision Process for Secure Site Location” International Journal of Physical Distribution & Logistics Management, 35(3), 195-207.
  • Reshetin, V.P. and J. L. Regens. “Simulation Modeling of Anthrax Spore Dispersion in Bioterrorism Incident”, Risk Analysis, XXIII, 6, 2003, 1135-1145.
  • Jia, H. and F. Ordonez, M. Dessouky. (2007) “Solution Approaches for Facility Location of Medical Supplies for Large-Scale Emergencies”, Computers & Industrial Engineering, LII, 2, 257-276.
  • Karaca, Murat. (2003) “Optimization of locating logistic supply coordination centers (LSCC) of Turkish Land Forces in an earthquake region”, Ankara, (Published Master Thesis), İhsan Doğramacı Bilkent University Institute of Engineering and Science.
  • Lahdelma, R., & Salminen, P. (2001). SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making. Operations Research, 49(3), 444-454.
  • Lahdelma R., Hokkanen J. and Salminen P., (1998). “SMAA-Stochastic Multiobjective Acceptability Analysis.” European Journal of Operational Research, 106, 137- 143.
  • Maharjan, R., & Hanaoka, S. (2017). “Warehouse Location Determination for Humanitarian Relief Distribution in Nepal”. Transportation Research Procedia, 25, 1151-1163.
  • Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic Optimization of Medical Supply Location and Distribution in Disaster Management. International Journal of Production Economics, 126(1), 76-84.
  • Ofluoğlu A., Baki B., Ar İ.M., “The Warehouse Location of The Disaster Logistics Using Entropy and Topsis Approaches: the Case of Trabzon”, 17-19 Mayıs 2017, ss.311-323.
  • Peker, İ., Korucuk, S., Ulutaş, Ş., Okatan, B. S., & Yaşar, F. (2016). “Optimal Location Selection for Distrubution Centers in Disaster Logistics Using Integrated Ahp- Vikor Method: Case of Erzincan”. Journal of Management and Economics Research, 14(1), 82-103.
  • Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse Location Decision Factors in Humanitarian Relief Logistics. The Asian Journal of Shipping and Logistics, 29(1), 103-120.
  • Roh, S., Pettit, S., Harris, I., & Beresford, A. (2015). The Pre-Positioning of Warehouses at Regional and Local Levels for a Humanitarian Relief Organisation. International Journal of Production Economics, 170, 616-628.
  • Soon, S. V. (2007) A Two-Stage Scenario-Based Stochastic Programming Approach to Pre-Positioning Hurricane Supplies, Master Thesis, Alabama: Auburn University, Department of Industrial and Systems Engineering.
  • TDIB (2017). Turkey Disaster Information Bank, https://tabb-analiz.afad.gov.tr/ Erişim Tarihi: 18.07.2017.
  • Tervonen, T. and R. Lahdelma, (2007) “Implementing Stochastic Multicriteria Acceptability Analysis”. European Journal of Operational Research, 178, 2, 500- 513.
  • Tervonen, T. (2014). “JSMAA: Open Source Software for SMAA Computations”. International Journal of Systems Science, 45(1), 69-81.
  • TUIK (2017). Turkish Statistical Institute Adrese Based Population Registration System http://www.tuik.gov.tr/PreTablo.do?alt_id=1059, Erişim Tarihi: 18.07.2017.
  • Uluğ, Murat. “Location of Natural Disasters Search and Resque (SAR) Units in Sectors”, Ankara, (Published Master Thesis), İhsan Doğramacı Bilkent University Institute of Engineering and Science, 2003.
  • 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, 7(1), 20.
  • Ukkusuri, Satish V. and Wilfredo F. Yushimito (2008) “Location Routing Approach for the Humanitarian Prepositioning Problem”, Transportation Research Record: Journal of the Transportation Research Record, 2089(1)

AFET LOJİSTİĞİ TESİS YERİ SEÇİMİ PROBLEMİ: TRA1 BÖLGESİ İÇİN BİR UYGULAMA

Yıl 2017, Cilt: 5 Sayı: 5, 323 - 342, 01.07.2017

Osman Demirdöğen Hamit Erdal Fatma Gül Yazıcılar Selin Aykol

Öz

Afetler, büyük oranda insan kontrolü dışında gerçekleşen, can ve mal kayıplarına neden olabilen olaylardır. Türkiye, başta deprem, su baskını ve heyelan olmak üzere doğal afetlerden önemli ölçüde etkilenen ülkeler arasındadır. Doğal afetlerin etkilerini azaltmak için etkin bir afet yönetimine ihtiyaç duyulmaktadır. Risk yönetiminin bir parçası olarak, afetlere müdahalede kullanılacak kaynakların personel, malzeme, araç, vb. bulunacağı tesislerin yerlerinin belirlenmesi, afet sonrasındaki müdahalenin başarısını doğrudan etkileyebilecek, stratejik seviyede bir karardır. Bu çalışmada, afet lojistiği kapsamında en uygun dağıtım merkezi yerinin belirlenmesi amacıyla TRA1 Bölgesi’ndeki üç il Erzurum, Erzincan, Bayburt için dağıtım merkezi yer seçimi problemi ele alınmıştır. Bu kapsamda uzmanlarla yapılan görüşmelerde uzmanların tercihlerini net olarak ifade etmekte zorlanmaları, kriter ağırlıklarının ve alternatif illerin kesin kriter değerlerine ulaşılamaması nedeniyle bu çalışmada, Stokastik Çok Kriterli Kabul Edilebilirlik Analizi-2 SMAA-2 yöntemi kullanılmıştır

Anahtar Kelimeler

Afet Lojistiği Dağıtım Merkezi Tesis Yeri Seçimi Problemi

Kaynakça

  • Ağdaş, M., Bali, Ö. and Ballı, H. (2014). “Location Selection for Distrubution Center in Disaster Logistics: an Application with SMAA-2 Method” Journal of the Academy Beykoz, 2(1), 75-95.
  • Altay, N., & Green, W. G. (2006). “OR/MS Research in Disaster Operations Management” European Journal of operational Research, 175(1), 475-493.
  • Artalejo, Jesus R. (2000) “G-networks: A Versatile Approach for Work Removal in Queueing Networks” European Journal of Operational Research, 126, 233-249.
  • Aslan, H. M., Yıldız, M. S., & Uysal, H. T. (2015). “Application of Fuzzy TOPSIS Method on Location Selection of Disaster Stations: A Location Analysis in Düzce” Journal of Politics, Economics and Management Research, 3(2) 111-128.
  • Beamon, O. and D. Krass, M. B. C. Menezes. (2007) “Facility Reliability Issues in Network P-Median Problems: Strategic Centralization and Co-Location Effects”, Operations Research, LV, 2, 332-350.
  • Coles, S. and L. Pericchi. (2003) “Anticipating Catastrophes Through Extreme Value Modelling”, Journal of the Royal Statistical Society: Series C (Applied Statistics), LII, 405-416
  • Cret, L. and F. Yamazaki, S. Nagata, T. Katayama. “Earthquake Damage Estimation and Decision Analysis for Emergency Shut-Off of City Gas Networks Using Fuzzy Set Theory”, Structural Safety, XII, 1, 1993, 1-19.
  • Dessouky, M. and F. Ordonez, H. Jia, Z. Shen. “Rapid Distribution of Medical Supplies” R. HALL (Ed.), Delay Management in Healthcare Systems, New York, Springer, 91, 2006, 309-338.
  • Duran, S. and M. A. Gutierrez, P. Keskinocak, (2011) “Pre-positioning of Emergency Items Worldwide for CARE International”, Interfaces.
  • Esogbue, A.O. and M. Theologidu, K. Guo. (1992) “On the Applications of Fuzzy Sets Theory to the Optimal Flood Control Problem Arising in Water Resources Systems”, Fuzzy Sets and Systems, XLVII, 2, 155-172.
  • Gümüşbuğa, F. (2012). Risk Based Plant Site Selection with Error Tree Analysis in the Scope of Disaster Management, (Unpublished Master Thesis), Military Academy, Defense Science Institute, Ankara.
  • Güzel, D. (2016). Yeniliğin İşletme Performansına Etkisi: İmalatçı Kobi’lerde Bir Araştırma. Ankara: İmaj Publisher.
  • Hale, T., & Moberg, C. R. (2005). “Improving Supply Chain Disaster Preparedness: A Decision Process for Secure Site Location” International Journal of Physical Distribution & Logistics Management, 35(3), 195-207.
  • Reshetin, V.P. and J. L. Regens. “Simulation Modeling of Anthrax Spore Dispersion in Bioterrorism Incident”, Risk Analysis, XXIII, 6, 2003, 1135-1145.
  • Jia, H. and F. Ordonez, M. Dessouky. (2007) “Solution Approaches for Facility Location of Medical Supplies for Large-Scale Emergencies”, Computers & Industrial Engineering, LII, 2, 257-276.
  • Karaca, Murat. (2003) “Optimization of locating logistic supply coordination centers (LSCC) of Turkish Land Forces in an earthquake region”, Ankara, (Published Master Thesis), İhsan Doğramacı Bilkent University Institute of Engineering and Science.
  • Lahdelma, R., & Salminen, P. (2001). SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making. Operations Research, 49(3), 444-454.
  • Lahdelma R., Hokkanen J. and Salminen P., (1998). “SMAA-Stochastic Multiobjective Acceptability Analysis.” European Journal of Operational Research, 106, 137- 143.
  • Maharjan, R., & Hanaoka, S. (2017). “Warehouse Location Determination for Humanitarian Relief Distribution in Nepal”. Transportation Research Procedia, 25, 1151-1163.
  • Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic Optimization of Medical Supply Location and Distribution in Disaster Management. International Journal of Production Economics, 126(1), 76-84.
  • Ofluoğlu A., Baki B., Ar İ.M., “The Warehouse Location of The Disaster Logistics Using Entropy and Topsis Approaches: the Case of Trabzon”, 17-19 Mayıs 2017, ss.311-323.
  • Peker, İ., Korucuk, S., Ulutaş, Ş., Okatan, B. S., & Yaşar, F. (2016). “Optimal Location Selection for Distrubution Centers in Disaster Logistics Using Integrated Ahp- Vikor Method: Case of Erzincan”. Journal of Management and Economics Research, 14(1), 82-103.
  • Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse Location Decision Factors in Humanitarian Relief Logistics. The Asian Journal of Shipping and Logistics, 29(1), 103-120.
  • Roh, S., Pettit, S., Harris, I., & Beresford, A. (2015). The Pre-Positioning of Warehouses at Regional and Local Levels for a Humanitarian Relief Organisation. International Journal of Production Economics, 170, 616-628.
  • Soon, S. V. (2007) A Two-Stage Scenario-Based Stochastic Programming Approach to Pre-Positioning Hurricane Supplies, Master Thesis, Alabama: Auburn University, Department of Industrial and Systems Engineering.
  • TDIB (2017). Turkey Disaster Information Bank, https://tabb-analiz.afad.gov.tr/ Erişim Tarihi: 18.07.2017.
  • Tervonen, T. and R. Lahdelma, (2007) “Implementing Stochastic Multicriteria Acceptability Analysis”. European Journal of Operational Research, 178, 2, 500- 513.
  • Tervonen, T. (2014). “JSMAA: Open Source Software for SMAA Computations”. International Journal of Systems Science, 45(1), 69-81.
  • TUIK (2017). Turkish Statistical Institute Adrese Based Population Registration System http://www.tuik.gov.tr/PreTablo.do?alt_id=1059, Erişim Tarihi: 18.07.2017.
  • Uluğ, Murat. “Location of Natural Disasters Search and Resque (SAR) Units in Sectors”, Ankara, (Published Master Thesis), İhsan Doğramacı Bilkent University Institute of Engineering and Science, 2003.
  • 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, 7(1), 20.
  • Ukkusuri, Satish V. and Wilfredo F. Yushimito (2008) “Location Routing Approach for the Humanitarian Prepositioning Problem”, Transportation Research Record: Journal of the Transportation Research Record, 2089(1)
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Research Article
Yazarlar

Osman Demirdöğen Bu kişi benim

Hamit Erdal

Fatma Gül Yazıcılar Bu kişi benim

Selin Aykol Bu kişi benim

Yayımlanma Tarihi 1 Temmuz 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 5 Sayı: 5

Kaynak Göster

APA Demirdöğen, O., Erdal, H., Yazıcılar, F. G., Aykol, S. (2017). AFET LOJİSTİĞİ TESİS YERİ SEÇİMİ PROBLEMİ: TRA1 BÖLGESİ İÇİN BİR UYGULAMA. The International New Issues in Social Sciences, 5(5), 323-342.

The International New Issues in Social Sciences, is international, Scientific, peer-reviewed Journal.
Tini-SOS journal is to evaluate scientific articles in the field of social sciences, especially based on field studies structured in accordance with scientific criteria, and conducts studies to publish studies that provide appropriate measures.