THE DETERMINATION OF TURKISH CONTAINER PORTS PERFORMANCE WITH TOPSIS MULTIPLE CRITERIA DECISION MAKING METHOD

Year 2017, , 67 - 75, 30.06.2017

Aynur Acer , Gozde Yanginlar

https://doi.org/10.17261/Pressacademia.2017.452

Abstract

Purpose-
Ports have a leading role on affecting country and regional economy with the
development of international trade. With the world trading volume increasing
day by day the performance of ports and terminals, which provide export,
import, transit, local or regional transportation services, must be examined
regularly in order for their maximum capacity to be utilized. Furthermore, due
to the high costs of infrastructure and superstructure investments of container
ports, long term plans and strategies are required. This
study aims to evaluate the performance of 20 container ports operating in
Turkey by examining the performance criteria of container ports in the world. Methodology-
For this reason, when calculating the maximum capacity utilization of the
ports, the main principle is to examine the effective utilization of all the
inputs using various methods. In this study, the performance of 20 container
ports operating in Turkey, has been analysed with the TOPSIS (Technique for
Order Preference by Similarity to Ideal Solution) method, using non-financial
data from 2015. 

Findings- As
a result of the analysis, the values that show the overall performance of the
ports were converted into a single score with the help of the TOPSIS method and
port performances were evaluated by comparatively examining the results
obtained. Mersin port, Ambarlı Marport and Kumport derived first with the
highest performance.

Conclusion- Port performance measurement has
an important requirement for maritime transport. The high performance of
container ports improve the productivity of the production such as labour and
capital.  

Keywords

Container Ports, Multiple Criteria Decision Making, Performance, TOPSİS

References

• Alejandro, G.C., César, T. (2009), “Mexico: Total Productivity Changes at The Principal Container Port”, CEPAL Rev. 99, pp.173–185.
• Al-Eraqi, A. S., Khader, A. T., Mustafa, A. (2009), “DEA Malmquist Index Measurement in Middle East and East African Container Terminals”, International Journal Shipping and Transport Logistics, 1,3, pp. 249–259.
• Ateş, A. ( 2010), “Türkiye Konteyner Terminallerinde Verimlilik Analizi”, Atatürk Universitesi Fen Bilimleri Enstitüsü Su Ürünleri Anabilimdalı, Doktora Tezi, Erzurum.
• Bottasso, A., Conti, M., Ferrari, C. (2011), “Efficiency and productivity growth in a sample of Italian containers terminals”, International Journal of Transport Economics, 38, 2, pp. 107–122.
• Cheon, S.H., Dowall, D.E., Song, D.W. (2010), “Evaluating impacts of institutional reforms on port efficiency changes: ownership, corporate structure, and total factor productivity changes of world container ports”, Transp. Res. Part E 46, pp.546–561.
• Collison, F.M. (1984), “North to Alaska: Marketing in the Pacific Northwest-Central Alaska linear trade”, Marit. Policy Manage, 11, 2, pp. 99–112.
• De Neufville, R., Tsunokawa, K. (1981), “Productivity and returns to scale of container ports”, Maritime Policy and Management, 8, 2, pp. 121–129.
• Dumanoglu, S., Ergül, N. (2010), “IMKB'de Islem Gören Teknoloji Sirketlerinin Mali Performans Ölçümü”, Muhasebe Ve Finansman Dergisi, 48, pp.101-111.
• DTGM (2016), https://atlantis.udhb.gov.tr/istatistik/istatistik_konteyner.aspx
• Eleren, A. (2007), “Markaların Tüketici Tercih Kriterlerine Göre Analitik Hiyerarşi Süreci Yöntemi İle Değerlendirilmesi: Beyaz Eşya Sektöründe Bir Uygulama”, Yönetim Ve Ekonomi Dergisi, 14, 2, pp.47-64.
• Eleren, A., & Karagül, M. (2008), “1986-2006 Türkiye Ekonomisinin Performans Değerlendirmesi”, Celal Bayar Üniversitesi İİ BF Yönetim Ve Ekonomi Dergisi, 15,1, pp.1-14.
• Esmer, S. (2008), “Konteyner Terminallerinde Lojistik Süreçlerin Optimizasyonu ve Bir Simulasyon Modeli”, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Denizcilik İşletmeleri Yönetimi Anabilim Dalı, Doktora Tezi, İzmir.
• Esmer, S., Zafer, E. (2008), “Türkiye’de Konteyner Limanlarının Geleceği”, Türkiye’nin Kıyı ve Deniz Alanları VII. Ulusal Kongresi, 27-30 Mayıs, Ankara, pp. 551-558.
• Estache, A., Tovar, B., Trujillo, L. (2004), “Sources of efficiency gains in port reform: A DEA decomposition of a Malmquist TFP index for Mexico”, Utilities Policy, 12, pp. 221–230.
• Gharehgozli , A.H., Vernooij, F.G., Zaerpour, N. (2017), “A simulation study of the performance of twin automated stacking cranes at a seaport container terminal”, European Journal of Operation Research, 9, pp.1-21.
• Guerrero, C., & Rivera, C. (2009). “ Mexico: Total productivity changes at the principal container ports”, Cepal Review, 99, pp. 173–185.
• Guironnet, J.P., Peypoch, N., Solonandrasana, B. (2009), “A note on productivity change in French and Italian seaports”,International Journal Shipping and Transport Logistics, 1,3, pp. 216–226.
• Haralambides, H., Hussain, M., Barros, C. P., Peypoch, N. (2010), “A new approach and benchmarking seaport efficiency and technological change”, International Journal of Transport Economics, 3,1, pp. 77–96.
• Kim, D. (2012), “A Comparison of efficiency with productivity criteria for European container ports’’, The Asian Journal of Shipping and Logistics, 28, 2, pp. 183-202.
• Kumar, P., Singh, R.K. (2012), “A fuzzy AHP and TOPSIS methodology to evaluate 3PL in a supply chain”, Journal Of Modelling in Management, 7,3, pp.287-303.
• Lozano, S. (2009), “Estimating productivity growth of Spanish ports using a non-radial, non-oriented Malmquist index’’, International Journal Shipping and Transport Logistics, 1, 3, pp. 227–248.
• Mccalla, R.J. (1994), “Canadian container ports: how have they fared? How will they do? ” Maritime Policy Management, 21, 3, pp.207– 217.
• Ömürbek, N., Makas, Y., Ömürbek, V. (2015), “AHP ve TOPSIS Yöntemleri İle Kurumsal Proje Yönetim Yazılımı Seçimi’’, Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1, 21, pp.59-83.
• Ömürbek, V., Kınay, Ö. G. B. (2013), “Havayolu Taşımacılığı Sektöründe TOPSIS Yöntemiyle Finansal Performans Değerlendirmesi ’’, Süleyman Demirel Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 18(3).
• Rios, L.R., Maçada, A.C.G., (2006), “ Analysing the relative efficiency of container terminals of Mercosur using DEA, Marit. Econ. Logist. 8, 4, pp.331–346.
• Rios, C., Sousa, R. (2014), “ Cluster analysis of the competitiveness of container ports in Brazil ”, Transportation Research Part A, 69, pp. 423-443.
• Songn, B., Cui, Y. (2014), “ Productivity changes in Chinese Container Terminals 2006–2011”, Transport Policy, 35, pp. 377-384.
• Wanke, P.F., Barbastefano, R.G., Hijjar, M.F. (2011), “Determinants of efficiency at major Brazilian port terminals”, Transp. Rev. 31, 5, pp. 653–677.
• Willingale, M.C. (1981), “ The port-routeing behaviour of short-sea ship operators; theory and practice”, Marit Policy Manage, 8, 2, pp. 109–120.
• Wilmsmeier, G., Tovar, B., Sanchez R.J. (2013), “The evolution of container terminal productivity and efficiency under changing economic environments”, Research in Transportation Business & Management, 8, pp. 50-66.
• Yuen, C.L., Zhang, A., Cheung, W. (2013), “Foreign participation and competition: a way to improve the container port efficiency in China? ”, Transp. Res. Part A 49, pp.220–231.