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The Selection of Logistics Center Location Based on AHP-TOPSIS Method: A Study on Çukurova Region

Yıl 2023, Cilt: 4 Sayı: 1, 70 - 84, 05.06.2023
https://doi.org/10.56400/tarsusiibfdergisi.1273882

Öz

The aim of this study is to determine the best locations to be a logistics center for the Çukurova region. The alternatives covered in this study were evaluated based on the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, which are the most preferred Multi-Criteria Decision Making (MCDM) techniques. In determining the criteria, the relevant literature was reviewed and the opinions of four experts in the logistics sector were consulted. The criterion weights were calculated by the AHP method and the preference ranking of the alternatives was made by the TOPSIS method. The results indicated that Adana is the most suitable location for a logistics center in the Çukurova region. Additionally, it was determined that Mersin and Hatay in the ranking were very close to each other, but Hatay had a higher value compared to Mersin.

Kaynakça

  • Ağaç, G., Baki, B., Peker, İ. ve Ar, İ. M. (2015). Çok kriterli karar verme tekniklerini kullanarak serbest bölge yer seçimi: Doğu Anadolu Bölgesi örneği. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 30(1), 79-113.
  • Atalay, A. G. Ö., Karakaş, A. ve Akça, A. G. M. (2017). Türkiye’de Lojistik Merkezi Yeri Seçiminde Kriterlerin Ahp ile Ağırlıklandırılması: Kars İli Üzerine Bir Analiz. Ataturk University Journal Of Economics & Administrative Sciences, 31(3). 109-122.
  • Barua, A. (2022, 31 May). Sizzling food prices are leading to global heartburn [Deloitte, blog yazısı]. https://www2.deloitte.com/xe/en/insights/economy/global-food-prices-inflation.html
  • Behzadian, M., Otaghsara, S. K., Yazdani, M. ve Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069.
  • Budner, W. W. ve Pawlicka, K. (2019). Logistics centre–location and its significance for the city. The European Proceedings of Social & Behavioural Sciences EpSBS, 71. 369-380.
  • Changwu, H. (2014). Application of the TOPSIS method and gray correlation model in the competitiveness evaluation of basketball teams. Comput. Model. New Technol, 18(12C), 833-837.
  • Chen, C. L., Yuan, T. W. ve Lee, W. C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38(5-6), 393-407.
  • Chen, K. H., Liao, C. N. ve Wu, L. C. (2014). A selection model to logistic centers based on TOPSIS and MCGP methods: the case of airline industry. Journal of Applied Mathematics, 2014. 1-10.
  • Chen, Y. ve Qu, L. (2006). Evaluating the selection of logistics centre location using fuzzy MCDM model based on entropy weight. In 2006 6th World Congress on Intelligent Control and Automation (ss. 7128-7132). IEEE.
  • Cinar, N. ve Ahiska, S. S. (2009). A decision support model for bank branch location selection. International Journal of Mechanical, Industrial Science and Engineering, 3(12), 26-31.
  • Daganzo, C. (2005). Logistics systems analysis. Heidelberg: Springer Science & Business Media. Ecer, F. (2020). Çok kriterli karar verme geçmişten günümüze kapsamlı bir yaklaşım. Ankara: Seçkin Yayınevi.
  • Elgün, M. N. ve Elitaş, C. (2011). Yerel, ulusal ve uluslararası taşıma ve ticaret açısından lojistik köy merkezlerinin seçiminde bir model önerisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 9(2), 630-645.
  • Elgün, M. N. ve Aşıkoğlu, N.O. (2016). Lojistik köy kuruluş yeri seçiminde TOPSIS yöntemiyle merkezlerin değerlendirilmesi. AKÜ İİBF Dergisi, 18(1), 161-170.
  • Erdal, H. ve Aydoğmuş, H. Y. (2019). Analitik hiyerarşi süreci ile lojistik merkezi yeri seçimi. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 7(6), 129-136.
  • Erkayman, B., Gundogar, E., Akkaya, G. ve Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies (JBCS), 7(3), 49-54.
  • Farias Aires, R. F. ve Ferreira, L. (2019). A new approach to avoid rank reversal cases in the TOPSIS method. Computers & Industrial Engineering, 132, 84-97.
  • Güleryüz, S. ve Coşmuş, Ş. (2022). Lojistik köy seçimi için AHP-TOPSIS temelli bir karar verme yaklaşımı. Journal of Transportation and Logistics, 7(2), 321-340.
  • Ho, W. (2008). Integrated analytic hierarchy process and its applications–A literature review. European Journal of operational research, 186(1), 211-228.
  • Hwang, C.L. ve Yoon, K. (1981). Methods for multiple attribute decision making. Lecture Notes in Economics and Mathematical Systems, 58–191. doi: 10.1007/978-3-642-48318-9_3.
  • Iqbal, M., Ma, J., Ahmad, N., Ullah, Z. ve Ahmed, R. I. (2021). Uptake and adoption of sustainable energy technologies: Prioritizing strategies to overcome barriers in the construction industry by using an integrated AHP‐TOPSIS approach. Advanced Sustainable Systems, 5(7), 2100026.
  • Ishizaka, A. ve Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336-14345.
  • Jahanshahloo, G. R., Lotfi, F. H. ve Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
  • Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N. ve Ghasemi Tousi, E. (2018). A comparative study of the AHP and TOPSIS techniques for dam site selection using GIS: A case study of Sistan and Baluchestan Province, Iran. Geosciences, 8(12), 494.
  • Kayikci, Y. (2010). A conceptual model for intermodal freight logistics centre location decisions. Procedia-Social and Behavioral Sciences, 2(3), 6297-6311.
  • Komchornrit, K. (2021). Location selection of logistics center: A case study of greater mekong subregion economic corridors in Northeastern Thailand. ABAC Journal, 41(2), 137-155.
  • Konstantinos, I., Georgios, T. ve Garyfalos, A. (2019). A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece. Energy Policy, 132, 232-246.
  • Li, Y., Liu, X. ve Chen, Y. (2011). Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6), 7901-7908.
  • Ma, L. (2021). Research on location selection of agricultural products logistics distribution center based on two-stage combination optimization algorithm. Journal of Physics: Conference Series, 1881(4), 1-6. doi:10.1088/1742-6596/1881/4/042085
  • Nong, T. N. M. (2022). A hybrid model for distribution center location selection. The Asian Journal of Shipping and Logistics, 38(1), 40-49.
  • Opricovic, S. ve Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
  • Peker, I., Baki, B., Tanyas, M. ve Ar, I. M. (2016). Logistics center site selection by ANP/BOCR analysis: A case study of Turkey. Journal of Intelligent & Fuzzy Systems, 30(4), 2383-2396.
  • Regmi, M. B. ve Hanaoka, S. (2013). Location analysis of logistics centres in Laos. International Journal of Logistics Research and Applications, 16(3), 227-242.
  • Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
  • Sirbiladze, G., Khutsishvili, I., Sikharulidze, A. ve Ghvaberidze, B. (2019). Hesitant Fuzzy TOPSIS based facility location selection problem. Bulletin of TICMI, 23(2), 131-141.
  • Stević, Ž., Vesković, S., Vasiljević, M. ve Tepić, G. (2015, May). The selection of the logistics center location using AHP method. 2nd Logistics International Conference içinde (ss. 86-91). Belgrade, Serbia.
  • Tabak, Ç., Yıldız, K. ve Yerlikaya, M. (2019). Logistic location selection with Critic-Ahp and Vikor integrated approach. Data Science and Applications, 2(1). 21-25.
  • Tam, M. C. ve Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
  • Tomić, V., Marinković, D. ve Marković, D. (2014). The selection of logistic centers location using multi-criteria comparison: case study of the Balkan Peninsula. Acta Polytechnica Hungarica, 11(10), 97-113.
  • Tümenbatur, A. (2021). Orta koridor üzerindeki demir ipekyolu güzergâhı ve lojistik merkez yer seçimi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 30(3), 102-110.
  • Tzeng, G. H. ve Huang, J. J. (2011). Multiple attribute decision making: methods and applications. New York: CRC press.
  • Uludağ, A. S. ve Doğan, H. (2016). Çok kriterli karar verme yöntemlerinin karşılaştırılmasına odaklı bir hizmet kalitesi uygulaması. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 17-48.
  • Ulutaş, A., Karakuş, C. B. ve Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and CoCoSo methods. Journal of Intelligent & Fuzzy Systems, 38(4), 4693-4709.
  • Uslu, A., Kızıloğlu, K., İşleyen, S. K. ve Kahya, E. (2017). Okul yeri seçiminde coğrafi bilgi sistemine dayalı AHP-TOPSIS yaklaşımı: Ankara ili örneği. Politeknik Dergisi, 20(4), 933-943.
  • Uyanik, C., Tuzkaya, G., Kalender, Z. T. ve Oguztimur, S. (2020). An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area. Transport, 35(6), 548-556.
  • Vaidya, O. S. ve Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.
  • Vasiljević, M., Stević, Ž., Ćosić, I. ve Mirčetić, D. (2016). Combined Fuzzy AHP and TOPSIS Method for Solving location Problem. Horizons. 373-383.
  • Vos, R., Glauber, J., Hernández, M. ve Laborde, D. (2022). COVID-19 and food inflation scares. McDermott, J. ve Swinnen, J. (Ed.). Covid-19 global food security 2 years later içinde (ss. 64-72). International Food Policy Research Institute (IFPRI).
  • Wang, S. ve Liu, P. (2007). The evaluation study on location selection of logistics center based on fuzzy AHP and TOPSIS. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing (pp. 3779-3782). IEEE.
  • Wang, Y. M. ve Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319.
  • Yu, X., Zhang, X. ve Mu, L. (2009). A fuzzy decision making model to select the location of the distribution center in logistics. In 2009 IEEE International Conference on Automation and Logistics (pp. 1144-1147). IEEE.
  • Żak, J. ve Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.
  • Zaralı, F., Yazgan, H. R. ve Delice, Y. (2018). AHP ve VIKOR bütünleşik yaklaşımıyla lojistik merkez yer seçimi: Kayseri ili örneği. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 34(3), 1-9.

AHP-TOPSIS YÖNTEMİNE DAYALI LOJİSTİK MERKEZ KURULUŞ YERİ SEÇİMİ: ÇUKUROVA BÖLGESİ ÜZERİNE BİR ARAŞTIRMA

Yıl 2023, Cilt: 4 Sayı: 1, 70 - 84, 05.06.2023
https://doi.org/10.56400/tarsusiibfdergisi.1273882

Öz

Bu çalışmada, Çukurova bölgesinde lojistik merkezi olmaya en uygun yer veya yerlerin tespit edilmesi amaçlanmıştır. Bu çalışma kapsamında ele alınan aday şehirler Çok Kriterli Karar Verme (ÇKKV) teknikleri arasında en çok tercih edilen Analytic Hierarchy Process (AHP) ve Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) yöntemlerine dayalı olarak değerlendirilmiştir. Kriterlerin belirlenmesinde ilgili alan yazın taranmış, lojistik alanında uzman 4 kişinin görüşlerine başvurulmuştur. AHP yöntemi ile kriter ağırlıkları hesaplanmış ve alternatiflerin tercih sıralaması TOPSIS yöntemi ile yapılmıştır. Analiz sonuçlarına göre, Adana alternatifinin Çukurova bölgesinde lojistik merkezi olmaya aday en uygun yer olduğu tespit edilmiştir. Ayrıca, sıralamada Mersin ve Hatay aday şehirlerinin birbirine çok yakın değerler aldığı ancak Hatay şehrinin, Mersin’e kıyasla daha iyi değere sahip olduğu saptanmıştır.

Kaynakça

  • Ağaç, G., Baki, B., Peker, İ. ve Ar, İ. M. (2015). Çok kriterli karar verme tekniklerini kullanarak serbest bölge yer seçimi: Doğu Anadolu Bölgesi örneği. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 30(1), 79-113.
  • Atalay, A. G. Ö., Karakaş, A. ve Akça, A. G. M. (2017). Türkiye’de Lojistik Merkezi Yeri Seçiminde Kriterlerin Ahp ile Ağırlıklandırılması: Kars İli Üzerine Bir Analiz. Ataturk University Journal Of Economics & Administrative Sciences, 31(3). 109-122.
  • Barua, A. (2022, 31 May). Sizzling food prices are leading to global heartburn [Deloitte, blog yazısı]. https://www2.deloitte.com/xe/en/insights/economy/global-food-prices-inflation.html
  • Behzadian, M., Otaghsara, S. K., Yazdani, M. ve Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069.
  • Budner, W. W. ve Pawlicka, K. (2019). Logistics centre–location and its significance for the city. The European Proceedings of Social & Behavioural Sciences EpSBS, 71. 369-380.
  • Changwu, H. (2014). Application of the TOPSIS method and gray correlation model in the competitiveness evaluation of basketball teams. Comput. Model. New Technol, 18(12C), 833-837.
  • Chen, C. L., Yuan, T. W. ve Lee, W. C. (2007). Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network. Journal of the Chinese Institute of Chemical Engineers, 38(5-6), 393-407.
  • Chen, K. H., Liao, C. N. ve Wu, L. C. (2014). A selection model to logistic centers based on TOPSIS and MCGP methods: the case of airline industry. Journal of Applied Mathematics, 2014. 1-10.
  • Chen, Y. ve Qu, L. (2006). Evaluating the selection of logistics centre location using fuzzy MCDM model based on entropy weight. In 2006 6th World Congress on Intelligent Control and Automation (ss. 7128-7132). IEEE.
  • Cinar, N. ve Ahiska, S. S. (2009). A decision support model for bank branch location selection. International Journal of Mechanical, Industrial Science and Engineering, 3(12), 26-31.
  • Daganzo, C. (2005). Logistics systems analysis. Heidelberg: Springer Science & Business Media. Ecer, F. (2020). Çok kriterli karar verme geçmişten günümüze kapsamlı bir yaklaşım. Ankara: Seçkin Yayınevi.
  • Elgün, M. N. ve Elitaş, C. (2011). Yerel, ulusal ve uluslararası taşıma ve ticaret açısından lojistik köy merkezlerinin seçiminde bir model önerisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 9(2), 630-645.
  • Elgün, M. N. ve Aşıkoğlu, N.O. (2016). Lojistik köy kuruluş yeri seçiminde TOPSIS yöntemiyle merkezlerin değerlendirilmesi. AKÜ İİBF Dergisi, 18(1), 161-170.
  • Erdal, H. ve Aydoğmuş, H. Y. (2019). Analitik hiyerarşi süreci ile lojistik merkezi yeri seçimi. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 7(6), 129-136.
  • Erkayman, B., Gundogar, E., Akkaya, G. ve Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies (JBCS), 7(3), 49-54.
  • Farias Aires, R. F. ve Ferreira, L. (2019). A new approach to avoid rank reversal cases in the TOPSIS method. Computers & Industrial Engineering, 132, 84-97.
  • Güleryüz, S. ve Coşmuş, Ş. (2022). Lojistik köy seçimi için AHP-TOPSIS temelli bir karar verme yaklaşımı. Journal of Transportation and Logistics, 7(2), 321-340.
  • Ho, W. (2008). Integrated analytic hierarchy process and its applications–A literature review. European Journal of operational research, 186(1), 211-228.
  • Hwang, C.L. ve Yoon, K. (1981). Methods for multiple attribute decision making. Lecture Notes in Economics and Mathematical Systems, 58–191. doi: 10.1007/978-3-642-48318-9_3.
  • Iqbal, M., Ma, J., Ahmad, N., Ullah, Z. ve Ahmed, R. I. (2021). Uptake and adoption of sustainable energy technologies: Prioritizing strategies to overcome barriers in the construction industry by using an integrated AHP‐TOPSIS approach. Advanced Sustainable Systems, 5(7), 2100026.
  • Ishizaka, A. ve Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336-14345.
  • Jahanshahloo, G. R., Lotfi, F. H. ve Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544-1551.
  • Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N. ve Ghasemi Tousi, E. (2018). A comparative study of the AHP and TOPSIS techniques for dam site selection using GIS: A case study of Sistan and Baluchestan Province, Iran. Geosciences, 8(12), 494.
  • Kayikci, Y. (2010). A conceptual model for intermodal freight logistics centre location decisions. Procedia-Social and Behavioral Sciences, 2(3), 6297-6311.
  • Komchornrit, K. (2021). Location selection of logistics center: A case study of greater mekong subregion economic corridors in Northeastern Thailand. ABAC Journal, 41(2), 137-155.
  • Konstantinos, I., Georgios, T. ve Garyfalos, A. (2019). A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece. Energy Policy, 132, 232-246.
  • Li, Y., Liu, X. ve Chen, Y. (2011). Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management. Expert Systems with Applications, 38(6), 7901-7908.
  • Ma, L. (2021). Research on location selection of agricultural products logistics distribution center based on two-stage combination optimization algorithm. Journal of Physics: Conference Series, 1881(4), 1-6. doi:10.1088/1742-6596/1881/4/042085
  • Nong, T. N. M. (2022). A hybrid model for distribution center location selection. The Asian Journal of Shipping and Logistics, 38(1), 40-49.
  • Opricovic, S. ve Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
  • Peker, I., Baki, B., Tanyas, M. ve Ar, I. M. (2016). Logistics center site selection by ANP/BOCR analysis: A case study of Turkey. Journal of Intelligent & Fuzzy Systems, 30(4), 2383-2396.
  • Regmi, M. B. ve Hanaoka, S. (2013). Location analysis of logistics centres in Laos. International Journal of Logistics Research and Applications, 16(3), 227-242.
  • Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
  • Sirbiladze, G., Khutsishvili, I., Sikharulidze, A. ve Ghvaberidze, B. (2019). Hesitant Fuzzy TOPSIS based facility location selection problem. Bulletin of TICMI, 23(2), 131-141.
  • Stević, Ž., Vesković, S., Vasiljević, M. ve Tepić, G. (2015, May). The selection of the logistics center location using AHP method. 2nd Logistics International Conference içinde (ss. 86-91). Belgrade, Serbia.
  • Tabak, Ç., Yıldız, K. ve Yerlikaya, M. (2019). Logistic location selection with Critic-Ahp and Vikor integrated approach. Data Science and Applications, 2(1). 21-25.
  • Tam, M. C. ve Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
  • Tomić, V., Marinković, D. ve Marković, D. (2014). The selection of logistic centers location using multi-criteria comparison: case study of the Balkan Peninsula. Acta Polytechnica Hungarica, 11(10), 97-113.
  • Tümenbatur, A. (2021). Orta koridor üzerindeki demir ipekyolu güzergâhı ve lojistik merkez yer seçimi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 30(3), 102-110.
  • Tzeng, G. H. ve Huang, J. J. (2011). Multiple attribute decision making: methods and applications. New York: CRC press.
  • Uludağ, A. S. ve Doğan, H. (2016). Çok kriterli karar verme yöntemlerinin karşılaştırılmasına odaklı bir hizmet kalitesi uygulaması. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(2), 17-48.
  • Ulutaş, A., Karakuş, C. B. ve Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and CoCoSo methods. Journal of Intelligent & Fuzzy Systems, 38(4), 4693-4709.
  • Uslu, A., Kızıloğlu, K., İşleyen, S. K. ve Kahya, E. (2017). Okul yeri seçiminde coğrafi bilgi sistemine dayalı AHP-TOPSIS yaklaşımı: Ankara ili örneği. Politeknik Dergisi, 20(4), 933-943.
  • Uyanik, C., Tuzkaya, G., Kalender, Z. T. ve Oguztimur, S. (2020). An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area. Transport, 35(6), 548-556.
  • Vaidya, O. S. ve Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.
  • Vasiljević, M., Stević, Ž., Ćosić, I. ve Mirčetić, D. (2016). Combined Fuzzy AHP and TOPSIS Method for Solving location Problem. Horizons. 373-383.
  • Vos, R., Glauber, J., Hernández, M. ve Laborde, D. (2022). COVID-19 and food inflation scares. McDermott, J. ve Swinnen, J. (Ed.). Covid-19 global food security 2 years later içinde (ss. 64-72). International Food Policy Research Institute (IFPRI).
  • Wang, S. ve Liu, P. (2007). The evaluation study on location selection of logistics center based on fuzzy AHP and TOPSIS. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing (pp. 3779-3782). IEEE.
  • Wang, Y. M. ve Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319.
  • Yu, X., Zhang, X. ve Mu, L. (2009). A fuzzy decision making model to select the location of the distribution center in logistics. In 2009 IEEE International Conference on Automation and Logistics (pp. 1144-1147). IEEE.
  • Żak, J. ve Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.
  • Zaralı, F., Yazgan, H. R. ve Delice, Y. (2018). AHP ve VIKOR bütünleşik yaklaşımıyla lojistik merkez yer seçimi: Kayseri ili örneği. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 34(3), 1-9.
Toplam 52 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Emre Kadir Özekenci 0000-0001-6669-0006

Yayımlanma Tarihi 5 Haziran 2023
Gönderilme Tarihi 30 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 4 Sayı: 1

Kaynak Göster

APA Özekenci, E. K. (2023). AHP-TOPSIS YÖNTEMİNE DAYALI LOJİSTİK MERKEZ KURULUŞ YERİ SEÇİMİ: ÇUKUROVA BÖLGESİ ÜZERİNE BİR ARAŞTIRMA. Tarsus Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 4(1), 70-84. https://doi.org/10.56400/tarsusiibfdergisi.1273882