Dr. Bahadır Fatih Yıldırım

Özgeçmiş Akademik Blog Portfolyo Dokümanlar Kütüphane

M7

Evaluating Potential Freight Villages in Istanbul Using Multi Criteria Decision Making Techniques

Araş. Gör. Bahadır Fatih Yıldırım

İstanbul Üniversitesi İşletme Fakültesi Sayısal Yöntemler Anabilim Dalı

Dr. Emrah Önder

İstanbul Üniversitesi İşletme Fakültesi Sayısal Yöntemler Anabilim Dalı

Abstract

Evaluating freight villages and selecting one of them are complicated tasks due to the fact that various criteria or objectives must be considered in the decision making process. Also in many real world cases the criteria are not equally important for the logistic managers and government authorities. In this study, we proposed a freight village analysis model considering both Analytic Hierarchy Process (AHP) and PROMETHEE (preference ranking organization method for enrichment of evaluations) method. Subjective and objective opinions of logistic managers/experts turn into quantitative form with AHP. PROMETHEE technique is used for calculating the freight villages’ ratings. Apparently, freight village location selection is a multi-criteria problem that includes both quantitative and qualitative factors. It is necessary to make trade-off between these tangible and intangible factors while considering a suitable location. Accessibility, transport infrastructure, the value of freight villages (maritime connections, rail connections, road connections, and airport connections), distance from city center and total surface area are some of the key success factors of freight villages. The aim of this paper is to determine the appropriate freight village candidate providing the most satisfaction for the criteria identified in the supply chain management.

Keywords: AHP, Freight Villages, Logistics Management, MCDM, PROMETHEE

Jel Classification: C63

  • Ertuğrul, İ and Karakaşoğlu, N 2008, 'Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection' International Journal of Advanced Manufacturing Technology, vol.39, no.7, pp.783-795.
  • https://maps.google.com/
  • http://www.igd.com.tr/
  • http://www.ekonomi.haber7.com
  • Bamyaci, M., (2008). “Modern Lojistik Yönetimi: Organize Lojistik Bölgeleri İçin Bir Yer Seçimi Modeli” Istanbul Universitesi, Fen Bilimleri Enstitusu, Doktora Tezi, In Turkish.
  • Janic, M. and Reggiani, A.,(2002). An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the Selection of a New Hub Airport, EJTIR, 2, no. 2, pp. 113 – 141.
  • Jaržemskis, A., (2007). Research On Public Logistics Centre As Tool For Cooperation, Transport ,Vol XXII, No 1, 50–54.
  • Ballis, A. and Mavrotas, G., (2007), Freight village design using the multicriteria method PROMETHEE.Operational Research. An International Journal., Vol. 7, No. 2, pp. 213-232.
  • Lindholm, M. and Behrends, S., (2012). Challenges in urban freight transport planning – a review in the Baltic Sea Region, Journal of Transport Geography 22, 129–136.
  • Cerreno, A. L. C., Shin, H., S., Wieder, A.S. and Theofanis, S., (2008). Feasibility of Freight Villages in the New York Metropolitan Transportation Council (NYMTC) Region, Center for Advanced Infrastructure and Transportation Freight and Maritime Program, 1-23.
  • Yanga, L., Jib, X.,Gaoa, Z. and Li, K., (2007). Logistics distribution centers location problem and algorithm under fuzzy environment, Journal of Computational and Applied Mathematics 208, 303 – 315.
  • Awasthi, A., Chauhan, S.S. and Goyal, S.K., (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty, Mathematical and Computer Modelling, 53, 98–109.
  • Li, Y., Liu, X. and Chen, Y., (2011). Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management, Expert Systems with Applications 38, 7901–7908.
  • Taniguchi, E., Noritake, M., , Yamada, T. and Izumitani, T., (1999). Optimal size and location planning of public logistics terminals, Transportation Research Part E 35, 207-222.
  • Sirikijpanichkul, A. and Ferreira, L., (2006). Solving the Conflicts in Intermodal Freight Hub Location Decisions, BEE Postgraduate Infrastructure Theme Conference, 26th September 2006, Gardens Point Campus, Queensland University of Technology.
  • Liberatore, M.J., Nydick, R.L., (1997). Group Decision Making In Higher Education Using The Analytic Hierarchy Process, Research In Higher Education, Vol. 38, No. 5.
  • Yoo, K.E, Choi, Y.C.,(2006). Analytic Hierarchy Process Approach For Identifying Relative Importance Of Factors To Improve Passenger Security Checks At Airports, Journal of Air Transport Management 12, 135–142.
  • Dagdeviren, M., Yavuz, S., Kilinc, N., 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Systems with Applications, 36, 8143-8151.
  • Saaty, T.L., (1990). How To Make Decision: The Analytic Hierarchy Process, European Journal of Operational Research, North_Holland, 48, 9-26.
  • Saaty, T. L.,(2008). Decision Making With The Analytic Hierarchy Process. Int. J. Services Sciences, 1 (1), 83.
  • Saaty, T. L., Vargas Luis L., (2001). Models, Methods, Concepts & Applications of The Analytic Hierarchy Process. International Series in Operations Research & Management Science, Kluwer Academic Publishers.
  • Lee, S., Kim, W., Kim, Y.M., Oh, K.J., 2012.Using AHP to determine intangible priority factors for technology transfer adoption. Expert Systems with Applications, 39, 6388-6395.
  • J.P. Brans (1982). "L’ingénierie de la décision: élaboration d’instruments d’aide à la décision. La méthode PROMETHEE.". Presses de l’Université Laval.
  • J.P. Brans and P. Vincke (1985). "A preference ranking organisation method: The PROMETHEE method for MCDM". Management Science.
  • De Brucker, K., Verbeke, A., Macharis, C., (2004), The applicability of multicriteria-analysis to the evaluation of intelligent transport systems (ITS). Research in Transportation Economics, 8, 151-179.
  • Behzadian Majid, R.B. Kazemzadeh, A. Albadvi, M. Aghdasi, (2010), PROMETHEE: A comprehensive literature review on methodologies and applications, European Journal of Operational Research, 200, 198–215.
  • M. Shakhsi-Niaei, S.A. Torabi, S.H. Iranmanesh, (2011), A comprehensive framework for project selection problem under uncertainty and real-world constraints, Computers & Industrial Engineering 61, 226–237.
  • Turcksina Laurence, Annalia Bernardinia, Cathy Macharisa, (2011), A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet, Procedia Social and Behavioral Sciences, 20, 954–965.
  • Macharis Cathy, Johan Springael, Klaas De Brucker, Alain Verbeke, (2004), PROMETHEE and AHP: The design of operational synergies in multicriteria analysis. Strengthening PROMETHEE with ideas of AHP, European Journal of Operational Research, 153, 307–317.
  • Brans, J.P.., Mareschal, B. and Vincke, P. (1986) 'How To Select And How To Rank Projects : The PROMETHEE Method for MCDM', EJOR, 24, pp.228-238.
  • Li Wei-xianga, Li Bang-yi, (2010), An extension of the Promethee II method based on generalized fuzzy numbers, Expert Systems with Applications, 37, 5314–5319.
  • Hyde, K., Maier, H. R., & Colby, C. (2003). Incorporating uncertainty in the PROMETHEE MCDA method. Journal of Multi-Criteria Decision Analysis, 12, 245–259.
  • Makale
    SCI-Expanded, SSCI
    Mrzygłocka-Chojnacka, J., & Ryńca, R. (2023). Using a multi-criteria ranking method to assess factors influencing the implementation of sustainable development at higher educational institutions. Sustainability, 15(7), 6256. doi: 10.3390/su15076256
  • Makale
    EBSCOhost
    Erturgut, R. & Oğuz, S. (2022). Lojistik Merkezlerin İhracata Etkisi: AB Ülkeleri Üzerine Yatay Kesit Veriler ile Regresyon Analizi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14 (4), 423-430. DOI: 10.52791/aksarayiibd.1075080
  • Makale
    Scopus
    Bennani, M., Jawab, F., Hani, Y., Mhamedi, A. E., & Amegouz, D. (2022). Hybrid F-SWARA and F-ENTROPY for the optimization of the weighting of the location criteria of a green logistics platform. IFAC-PapersOnLine, 55(10), 1606–1612. doi: 10.1016/j.ifacol.2022.09.620
  • Makale
    TR Dizin
    Turğut, M., (2022). Complex Location Selection For Transport Companies Using AHP and TOPSIS Method: Study of Mersin, Üçüncü Sektör Sosyal Ekonomi Dergisi, 57(3), 2126-2143. doi: 10.15659/3.sektor-sosyal-ekonomi.22.09.1852
  • Makale
    Scopus
    Mohan, V.G., Naseer, M.A. (2022). Prioritisation of Dry Port Locations Using MCDM Methods: A Case of Cochin Port. J. Inst. Eng. India Ser. A. https://doi.org/10.1007/s40030-022-00648-y
  • Makale
    TR Dizin
    Işık, Ö. (2022). Gri Entropi, FUCOM ve EDAS-M Yöntemleriyle Türk Lojistik Firmalarının Çok Kriterli Performans Analizi. Yaşar Üniversitesi E-Dergisi, 17 (66), 472-489.
  • Makale
    Scopus, ESCI
    Mohan, V. G. & Nasser, M. (2022) “Dry Port Location Factor Determination using Delphi in Peninsular Region”, Transactions on Maritime Science. Split, Croatia, 11(1), pp. 169–184. doi: 10.7225/toms.v11.n01.w05.
  • Makale
    Özgüner, Z. ve Cantaşdemir, E. V. (2021). Çevik Tedarik Zinciri Yönetimindeki Operasyonların Entropi Tabanlı TOPSIS Yöntemi ile Değerlendirilmesi. Recep Tayyip Erdoğan Üniversitesi Sosyal Bilimler Dergisi, 8(14): 114-135. doi:10.34086/rteusbe.977505
  • Makale
    Scopus, SSCI
    Zolfani, S. H., Görçün, Ö. F., & Küçükönder, H. (2021). Evaluating logistics villages in Turkey using hybrid improved fuzzy SWARA (IMF SWARA) and fuzzy MABAC techniques. Technological and Economic Development of Economy, 27(6), 1582-1612. doi: 10.3846/tede.2021.16004
  • Makale
    Scopus, ESCI
    Jung, H., Jeon, J., & Choi, H. (2021). Important Factors in the Development of Biopharmaceutical Logistics Centers. The Asian Journal of Shipping and Logistics. doi:10.1016/j.ajsl.2021.07.003
  • Makale
    Scopus, SCI-Expanded, SSCI
    Kabassi, K. (2021). Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs. Sustainability, 13(20), 11220. doi:10.3390/su132011220
  • Makale
    Scopus, SCI-Expanded
    Alidrisi, H. (2021). DEA-Based PROMETHEE II Distribution-Center Productivity Model: Evaluation and Location Strategies Formulation. Applied Sciences, 11(20), 9567. doi:10.3390/app11209567
  • Makale
    Scopus, SCI-Expanded
    Kabassi, K., & Martinis, A. (2021). Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites. Applied Sciences, 11(19), 9215. doi:10.3390/app11199215
  • Makale
    Scopus
    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.
  • Makale
    EBSCOhost, SOBİAD
    Keleş, N., Pekkaya, M. (2021). Lojistik Köy Yer Seçiminde Dikkate Alınan Değişkenlerin Kıyaslama Yaklaşımı İle Belirlenmesi. Bartın Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 12(23), article in press. DOI: 10.47129/bartiniibf.840819
  • Makale
    SSCI
    Liang, F., Verhoeven, K., Brunelli, M., & Rezaei, J. (2021). Inland terminal location selection using the multi-stakeholder best-worst method. International Journal of Logistics Research and Applications, 1-23.
  • Makale
    PROQUEST
    Battal, T. (2020). Understanding the logistics centre location decision: what are the main decision criteria and evaluation methods?. International Journal of Logistics Economics and Globalisation, 8(2), 154-192. https://dx.doi.org/10.1504/IJLEG.2020.1082
  • Makale
    Scopus, SCI-Expanded
    Ulutaş, A., Karakuş, C. B., & Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and cocoso methods. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-17. http://doi.org/10.3233/jifs-191400
  • Makale
    SSCI
    Sopha, B. M., Sakti, S., Prasetia, A. C. G., Dwiansarinopa, M. W., & Cullinane, K. (2020). Simulating long-term performance of regional distribution centers in archipelagic logistics systems. Maritime Economics & Logistics, 1-29.
  • Makale
    Scopus
    Komchornrit, K., & Weerawat, W. (2020). Modeling Framework of Hybrid Method for Site Selection of Dry Port: A Case Study in Southern Region of Thailand. Applied Science and Engineering Progress, 13(3), 233-245.
  • Makale
    TR Dizin
    Demirkıran, Y., Öztürkoğlu, Ö. (2020). Türkiye’deki Bölgelerin Lojistik Köy Kurulması Açısından Potansiyelinin PROMETHEE II Yöntemi ile İncelenmesi Yaşar Üniversitesi E-Dergisi, 15 (58), 347-367. DOI: 10.19168/jyasar.616496
  • Makale
    SCI, SSCI
    Aljohani, K., & Thompson, R. G. (2020). A multi-criteria spatial evaluation framework to optimise the siting of freight consolidation facilities in inner-city areas. Transportation Research Part A: Policy and Practice, 138, 51-69.
  • Makale
    Scopus
    Novoselov, O. G., Timirov, E. V., Akhmadieva, A. S., & Fargatovna, M. A. (2020). Determination of Optimal Cost and Environmental Evaluation of Highways Using a Mathematical Model. Procedia Environmental Science, Engineering and Management, 7(4), 487-495.
  • Makale
    Scopus, SCI-Expanded
    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, 1-9.
  • Makale
    SSCI
    Kumar, A., & Anbanandam, R. (2019). Location selection of multimodal freight terminal under STEEP sustainability. Research in Transportation Business & Management, 33, 100434. doi: 10.1016/j.rtbm.2020.100434
  • Makale
    Scopus, SSCI
    Yao, Y., Liu, P., Hong, Y., Liang, Z., Wang, R., Guan, Q., & Chen, J. (2019). Fine‐scale intra‐and inter‐city commercial store site recommendations using knowledge transfer. Transactions in GIS, 23(5), 1029-1047.
  • Makale
    Scopus
    Ighravwe, D. (2019). Techno-economic assessment of small-scale renewable energy storage technologies. Decision Science Letters, 8(3), 363-372.
  • Makale
    TR Dizin
    Kartal, C. (2019). MOORA Metodu ile Portföy Yönetimi Geleneksel Yöntemlere ve Şans Faktörüne Dayalı Portföylerle Bir Karşılaştırma Uygulaması. Maliye ve Finans Yazıları, (111), 299-318.
  • Makale
    ESCI
    Uyanik, C., Tuzkaya, G., & Oğuztimur, S. (2018). A Literature Survey on Logistics Centers' Location Selection Problem. Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen Bilimleri Dergisi, 36(1), 141-160.
  • Makale
    KCI
    Kim, S., Park, S., Woo, S., & Lee, S. (2017). Development and Analysis of the Interchange Centrality Evaluation Index Using Network Analysis. Journal of Korean Society of Transportation, 35(6), 525-544.
  • Makale
    ESCI
    Komchornrit, K. (2017). The Selection of Dry Port Location by a Hybrid CFA-MACBETH-PROMETHEE Method: A Case Study of Southern Thailand. The Asian Journal of Shipping and Logistics, 33(3), 141–153. doi. 10.1016/j.ajsl.2017.09.004
  • Makale
    Scopus, ESCI
    Pham, T. Y., Ma, H. M., & Yeo, G. T. (2017). Application of Fuzzy Delphi TOPSIS to locate logistics centers in Vietnam: The Logisticians’ perspective. The Asian Journal of Shipping and Logistics, 33(4), 211-219.
  • Makale
    SCI-Expanded, SSCI
    Peker, I., Baki, B., Tanyas, M., & Murat Ar, I. (2016). Logistics center site selection by ANP/BOCR analysis: A case study of Turkey [JB]. Journal of Intelligent & Fuzzy Systems, 30(4), 2383–2396. doi. 10.3233/IFS-152007
  • Makale
    Scopus, SCI-Expanded
    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. doi: 10.1016/j.compind.2015.12.003