Share:


An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area

Abstract

Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, environmental friendly and secure logistics services to the urban logistics problems. Finding proper locations to LCs has an important effect on their success. In this study, LCs’ location selection problem for Istanbul Metropolitan area is investigated. Istanbul is a leading city of Turkey in many categories including various industries, import/export amounts, transportation infrastructure and population density. However, industrialization and urbanization have introduced numerous problems to Istanbul. New projects are continuously being announced for the problems of metropolis, however, they may also bring new problems if they are not punctiliously planned and applied. Hence, in this study, it is aimed to propose a systematic Multi-Criteria Decision-Making (MCDM) approach for the LCs’ location selection problem of Istanbul. In this approach, an integrated DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) and Intuitionistic Fuzzy (IF) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is utilized. DEMATEL is used to analyse the decision criteria and IF-TOPSIS is used to evaluate candidate locations for LCs. Considering the vagueness inherent to this decision-making problem, IF sets are used for the evaluation process. Results are compared with the results of IF-VIKOR (VIše Kriterijumska Optimizacija kompromisno Rešenje – multi-criteria optimization and compromise solution) technique.


First publihed online 19 March 2020

Keyword : logistics centers, DEMATEL, intuitionistic fuzzy sets, TOPSIS, location selection

How to Cite
Uyanik, C., Tuzkaya, G., Kalender, Z. T., & 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. https://doi.org/10.3846/transport.2020.12210
Published in Issue
Dec 29, 2020
Abstract Views
1667
PDF Downloads
1131
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Aksoy, O.; Özyörük, B. 2015. The importance of freight villages: an implementation in TCDD, Applied Mathematical Modelling 39(19): 6043–6049. https://doi.org/10.1016/j.apm.2015.01.034

Atanassov, K. T. 1986. Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20(1): 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3

Bamyacı, M.; Tanyaş, M. 2008. Organize lojistik bölgesi yer seçimi problemi için bir çok ölçütlü karar verme modeli: AHP-SAW, in Mersin Sempozyumu, 19–22 kasım 2008, Mersin, Türkiye. (in Turkish).

Bayraktutan, Y.; Özbilgin, M. 2014. Türkiye’de illerin lojistik merkez yatirim düzeylerinin bulanik mantik yöntemiyle belirlenmesi, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 43: 1–36. https://doi.org/10.18070/euiibfd.67041 (in Turkish).

Boran, F. E.; Genç, S.; Kurt, M.; Akay, D. 2009. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications 36(8): 11363–11368. https://doi.org/10.1016/j.eswa.2009.03.039

Can, A. M. 2012. Çok Kriterli Karar Verme Teknikleri İle Samsun Lojistik Köyü Yerinin Belirlenmesi. Yüksek Lisans Tezi. Erciyes Üniversitesi, Türkiye. 158 s. (in Turkish).

Chen, K.-H.; Liao, C.-N.; 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: 470128. https://doi.org/10.1155/2014/470128

Chen, Y.; 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, 21–23 June 2006, Dalian, China, 7128–7132. https://doi.org/10.1109/WCICA.2006.1714468

Demiroğlu, Ş.; Eleren, A. 2014. Küresel lojistik köyleri ve Türkiye’de kurulmasi planlanan lojistik köy bölgelerinin ÇKKV yöntemleriyle belirlenmesi, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi – Dumlupınar University Journal of Social Sciences 42: 189–201. (in Turkish).

Elevli, B. 2014. Logistics freight center locations decision by using fuzzy-PROMETHEE, Transport 29(4): 412–418. https://doi.org/10.3846/16484142.2014.983966

Elgün, M. N.; Elitaş, C. 2011. Yerel, ulusal ve uluslararası taşıma ve ticaret açısından lojistik köy merkezlerinin seçiminde bir model önerisi, Celal Bayar Üniversitesi Sosyal Bilimler Dergisi 9(2): 630–645. (in Turkish).

Erkayman, B.; Gundogar, E.; Akkaya, G.; Ipek, M. 2011. A fuzzy TOPSIS approach for logistics center location selection, Journal of Business Case Studies 7(3): 49–55. https://doi.org/10.19030/jbcs.v7i3.4263

Europlatforms. 2015. Corporate Presentation. The European Logistics Platforms Association, Europlatforms E.E.I.G. 65 p. Available from Internet: http://www.europlatforms.eu/wp-content/uploads/2016/01/Corporate-Presentation-2015-Europlatforms-Final_20151229.pdf

Görgülü, H. 2012. Lojistik Köyler ve Konya Uygulaması. Yüksek Lisans Tezi. Bahçeşehir Üniversitesi, Türkiye. 144 s. (in Turkish).

Hori, S.; Shimizu, Y. 1999. Designing methods of human interface for supervisory control systems, Control Engineering Practice 7(11): 1413–1419. https://doi.org/10.1016/S0967-0661(99)00112-4

Joshi, D.; Kumar, S. 2014. Intuitionistic fuzzy entropy and distance measure based TOPSIS method for multi-criteria decision making, Egyptian Informatics Journal 15(2): 97–104. https://doi.org/10.1016/j.eij.2014.03.002

Kapros, S.; Panou, K.; Tsamboulas, D. A. 2005. Multicriteria approach to the evaluation of intermodal freight villages, Transportation Research Record: Journal of the Transportation Research Board 1906: 56–63. https://doi.org/10.1177/0361198105190600107

Kayikci, Y. 2010. A conceptual model for intermodal freight logistics centre location decisions, Procedia – Social and Behavioral Sciences 2(3): 6297–6311. https://doi.org/10.1016/j.sbspro.2010.04.039

Klapita, V.; Švecová, Z. 2006. Logistics centers location, Transport 21(1): 48–52. https://doi.org/10.3846/16484142.2006.9638041

Koldemir, B.; Çanci, M.; Gönüler, E. 2009. Büyük ölçekli kent planlamasında lojistik köyler, in İzmir Ulaşım Sempozyumu, 8–9 Aralık 2009, İzmir, Türkiye, 457–464. (in Turkish).

Li, Y.; Liu, X.; 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. https://doi.org/10.1016/j.eswa.2010.12.161

Opricovic, S.; 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. https://doi.org/10.1016/S0377-2217(03)00020-1

Önden, İ.; Acar, A. Z.; Eldemir, F. 2018. Evaluation of the logistics center locations using a multi-criteria spatial approach, Transport 33(2): 322–334. https://doi.org/10.3846/16484142.2016.1186113

Özceylan, E.; Erbaş, M.; Tolon, M.; Kabak, M.; Durğut, T. 2016. Evaluation of freight villages: a GIS-based multi-criteria decision analysis, Computers in Industry 76: 38–52. https://doi.org/10.1016/j.compind.2015.12.003

Peker, I.; Baki, B.; Tanyas, 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. https://doi.org/10.3233/IFS-152007

Regmi, M. B.; Hanaoka, S. 2013. Location analysis of logistics centres in Laos, International Journal of Logistics Research and Applications: a Leading Journal of Supply Chain Management 16(3): 227–242. https://doi.org/10.1080/13675567.2013.812194

Shu, M.-H.; Cheng, C.-H.; Chang, J.-R. 2006. Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly, Microelectronics Reliability 46(12): 2139–2148. https://doi.org/10.1016/j.microrel.2006.01.007

Szmidt, E.; Kacprzyk, J. 2000. Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems 114(3): 505–518. https://doi.org/10.1016/S0165-0114(98)00244-9

Taniguchi, E.; Noritake, M.; Yamada, T.; Izumitani, T. 1999. Optimal size and location planning of public logistics terminals, Transportation Research Part E: Logistics and Transportation Review 35(3): 207–222. https://doi.org/10.1016/S1366-5545(99)00009-5

Tomić, V.; Marinković, D.; 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.

Tsai, W.-H.; Chou, W.-C. 2009. Selecting management systems for sustainable development in SMEs: a novel hybrid model based on DEMATEL, ANP, and ZOGP, Expert Systems with Applications 36(2): 1444–1458. https://doi.org/10.1016/j.eswa.2007.11.058

Tzeng, G.-H.; Huang, J.-J. 2011. Multiple Attribute Decision Making: Methods and Applications. CRC Press. 352 p.

Uyanik, C.; Tuzkaya, G.; Oğuztimur, S. 2018. A literature survey on logistics centers’ location selection problem, Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi 36(1): 141–160.

Wang, S.; 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, 21–25 September 2007, Shanghai, China, 3779–3782. https://doi.org/10.1109/WICOM.2007.935

Xu, Z. 2007. Intuitionistic fuzzy aggregation operators, IEEE Transactions on Fuzzy Systems 15(6): 1179–1187. https://doi.org/10.1109/TFUZZ.2006.890678

Yang, Z. Z.; Moodie, D. R. 2011. Locating urban logistics terminals and shopping centres in a Chinese city, International Journal of Logistics Research and Applications: a Leading Journal of Supply Chain Management 14(3): 165–177. https://doi.org/10.1080/13675567.2011.609159

Yildirim, B. F.; Önder, E. 2014. Evaluating potential freight villages in Istanbul using multi criteria decision making techniques, Journal of Logistics Management 3(1): 1–10.

Yu, X.; Zhang, X.; 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, 5–7 August 2009, Shenyang, China, 1144–1147. https://doi.org/10.1109/ICAL.2009.5262593

Zadeh, L. A. 1965. Fuzzy sets, Information and Control 8(3): 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Zalluhoğlu, A. E.; Aracioğlu, B.; Bozkurt, S. 2014. Lojistik köy kurulumunun lojistik hizmet sağlayıcılar açısından değerlen-dirilmesi: İzmir örneği, Ege Stratejik Araştırmalar Dergi 5(2): 81–104. https://doi.org/10.18354/esam.39733 (in Turkish).