• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

The Evaluation of Container Terminal Efficiency Using by Cluster and Data Envelopment Analysis (DEA)

Aynur Acer, Ph.D.

Mehpare Timor, Ph.D.


Abstract

At the present time, Turkish container ports have large container terminals, where the highest traffic volume of the Europe has been achieved. Due to increasing volume of international trade, ports required to review their performances regularly in order to use their capacities optimally. Effectiveness and efficiency has become more and more important, when evaluating ports’ performances. Because of competitive and environmental effects on ports’ economical structure, they need to use their limited resources as efficient as they can. This paper the efficiency of ports and their corresponding container terminals, which have an positive impact to country and located region’s economical structure is analyzed. In order to measure terminal efficiency, inputs and outputs decisions have been based on operational efficiency. Data Envelopment Analysis (DEA) has been used, moreover, efficient and ineffcient ports have been decided relatively.

Keywords: Container Terminals, Data Envelopment Analysis, Efficiency

Jel Classification: C44

Kümeleme ve Veri Zarflama Analizi (VZA) ile Konteyner Terminal Etkinliklerinin Belirlenmesi

Öz

Günümüzde Türk Konteyner limanları Avrupa’nın trafik hacminin en fazla olduğu konteyner terminallerine sahip limanlar konumuna gelmiştir. Uluslararası ticaretin artmasıyla birlikte limanların kapasitelerini optimal kullanabilmeleri için performanslarını düzenli gözden geçirmeleri gerekmektedir. Liman performansının değerlendirilmesinde etkinlik ve verimlilik kavramları önem arz etmektedir. Konteyner limanları rekabet veya çevresel etkilerin yarattığı olumsuzluklara karşı verimli çalışarak sınırlı olan kaynaklarını tasarruflu kullanmak durumundadır. Bu çalışmada Türkiye'de ülke ve bölge ekonomisine doğrudan katkısı olan konteyner terminallerin etkinliği analiz edilmiştir. Konteyner terminal etkinliklerinin ölçülmesinde operasyonel etkinlik temel alınarak girdi ve çıktılar belirlenmiştir. Yöntem olarak Veri Zarflama Analizi (VZA) kullanılmış, etkin ve etkin olmayan limanlar göreceli olarak belirlenmiştir.

Anahtar Kelimeler: Etkinlik, Konteyner Terminalleri, Veri Zarflama Analizi

Suggested citation

Acer, A. & Timor, M. (). Kümeleme ve Veri Zarflama Analizi (VZA) ile Konteyner Terminal Etkinliklerinin Belirlenmesi. Alphanumeric Journal, 5(2), 339-352. http://dx.doi.org/10.17093/alphanumeric.356455

bibtex

References

  • Ahn, T. (1987). Efficiency Related Issues in Higher Education: A Data Envelopment Analysis Approach, Ph.D. Thesis, The University of Texas At Austin.
  • Al-Eraqi, A.S., Mustafa, A., Khader, A.T.& Barros, C.P. (2008). Efficiency of Middle Eastern and East African Seaports: Application of DEA Using Window Analysis, European Journal of Scientific Research. 23 (4): 597-612.
  • Ali A. I., (1994). Computational Aspects of DEA, Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (Eds.). Data Envelopment Analysis: Theory, Methodology and Applications, Springer Science & Business Media.
  • Ateş A., (2010), Türkiye Konteyner Terminallerinde Verimlilik Analizi, Atatürk Üniversitesi, Fen Bilimleri Enstitüsü, Doktora Tezi, Erzurum.
  • Ateş, A., Esmer, S. (2013). Türk Konteyner Terminalleri Üzerinde 2009 Yılı Küresel Finans Krizinin Etkileri, Sayistay Dergisi, (91), 105-12
  • Banker, R.D. Morey, R.C. (1986), The Use of Categorical Variables in Data Envelopment Analysis, Management Science, 32: 1613.1627.
  • Bayar, S. (2005). Veri Zarflama Analizi Kullanarak Liman Verimliliğinin Ölçülmesi: Türk Limanlarından Bir Örnek, Yüksek Lisans Tezi, İstanbul: İstanbul Üniversitesi Fen Bilimleri Enstitüsü
  • Baysal M.E., Uygur, M. & Toklu, B., (2004). Veri Zarflama Analizi ile TCDD Limanlarında Bir Etkinlik Ölçümü Çalışması, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 19-4, 437-442.
  • Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied Data Envelopment Analysis, European Journal of Operational Research, 52(1), 1-15.
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1981). Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through, Management Science, 27(6), 668-697.
  • Charnes, A., Cooper, W., Rhodes, E, (1978). Measuring The Efficiency of Decision Making Units, European Journal of Operations Research. 2, 429-444
  • Cooper, W. , Li, S., Seiford, L. M., Tone, K., Thrall, R. M., & Zhu, J. (2001). Sensitivity and Stability Analysis in DEA: Some Recent Developments, Journal of Productivity Analysis, 15(3), 217-246.
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). (2011). Handbook on Data Envelopment Analysis (Vol. 164), Springer Science & Business Media.
  • Cullinane, K., & Wang, T. F. (2006). Data Envelopment Analysis (DEA) and Improving Container Port Efficiency, Research in Transportation Economics, 17, 517-566.
  • Çağlar, V. (2012). Türk Özel Limanlarının Etkinlik ve Verimlilik Analizi, Dokuz Eylül Yayınları
  • Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S., & Shale, E. A. (2001). Pitfalls and Protocols in DEA. European Journal of Operational Research, 132(2), 245-259.
  • Estache, A., De La Fe, B. T., & Trujillo, L. (2004). Sources of Efficiency Gains in Port Reform: A DEA Decomposition of A Malmquist TFP İndex for Mexico, Utilities Policy, 12(4), 221-230.
  • Farrell, M. J. (1957). The Measurement of Productive Efficiency, Journal of The Royal Statistical Society, Series A (General), 253-290.
  • Goulielmos, A. M., & Pardali, A. I. (2002). Container Ports in Mediterranean Sea: A Supply and Demand Analysis in the Age of Globalization. International Journal of Transport Economics, 91-117.
  • Güner, S. (2015). Investigating Infrastructure, Superstructure, Operating and Financial Efficiency in The Management of Turkish Seaports Using Data Envelopment Analysis, Transport Policy, 40, 36-48.
  • Güner, S., Coşkun, E., & Taşkın, K. (2014). Liman Özelleştirmelerinin Operasyonel Etkinlik Üzerindeki Etkisi: Türk Limanları Üzerinde Dönemsel Bir Çalışma, İstanbul Üniversitesi İşletme Fakültesi Dergisi, 43(2), 218-236.
  • Hoffmann, J.. and Kumar, S. (2002), Globalisation: The Maritime Nexus, İn Grammenos, C. T. (Ed), The Handbook of Maritime Economics and Business, LLP, London.
  • Hung, S.W., Lu,W.M., Wang,T.P.,(2010). Benchmarking The Operating Efficiency of Asia Container Ports, Europen J. Operational Res.203,706–713.
  • Itoh, H. (2002). Effeciency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis, Review of Urban & Regional Development Studies. 14: 133–152.
  • Janelle, D. G., & Beuthe, M. (2002). Globalization and Transportation. Social Change and Sustainable Transport, 49.
  • Notteboom, T., Coeck, C., & Van Den Broeck, J. (2000). Measuring and Explaining The Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models, Maritime Economics & Logistics, 2(2), 83-106.
  • Panayides, P.M., Wang, T.F. Ve Maxoulis, C.N. (2008). Measuring Seaport Economic Efficiency: A Comperative DEA Study, IAME Annual Conference, Dalian Maritime University. Dalian, Çin.
  • Park, R.K. ve De, P. (2004). An Alternative Approach to Measurement of Seaports, Maritime Economics & Logistics. 6: 53-69.
  • Rajasekar, T., & Deo, M. (2014). Does Size Influence The Operational Efficiency of The Major Ports of India?-A Study, IUP Journal of Operations Management, 13(1), 20.
  • Peters, H.J. (2001): Development in Global Sea trade and Container Shipping Markets: Their Effects on the Port Industry and Private Sector Involvement”, International Journal of Maritime Economics, 3, 1, 3–26.
  • Rios, L.R. ve Maçada, A. C. G. (2006). Analysing The Relative Efficiency of Container Terminals of Mercosur Using DEA. Maritime Economics& Logistics, Vol. 8, Pp. 331-346.
  • Roll, Y., Hayuth, Y. (1993). Port Performance Comparison Applying Data Envelopment Analysis (DEA). Maritime Policy and Management, 20(2), Pp. 153-161.
  • Savaş, F. (2014). Veri Zarflama Analizi, Yıldırım, B.F. ve Önder, E.(Editör), Çok Kriterli Karar Verme Yöntemleri, Dora Yayınları, Bursa
  • Schøyen, H., & Odeck, J. (2013). The Technical Efficiency of Norwegian Container Ports: A Comparison to Some Nordic and UK Container Ports Using Data Envelopment Analysis (DEA). Maritime Economics & Logistics, 15(2), 197-221.
  • Sherman, H. D., & Gold, F. (1985). Bank Branch Operating Efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking & Finance, 9(2), 297-315.
  • Tarım, A., (2001), Veri Zarflama Analizi: Matematiksel Programlama Tabanlı Göreli Etkinlik Ölçüm Yaklaşımı, T.C. Sayıştay Araştırma İnceleme Çeviri Dizisi, No:15., Ankara
  • Thomas, B. J., Roach, D. K. Ve Hamelink, K. (2007). Container Terminal Operation, Mcardiff - UK: International Labour Organization,
  • Timor, M. & Lorcu, F. (2010). Türkiye ve Avrupa Birliğine Üye Ülkelerin Sağlık Sistem Performanslarının Kümeleme ve Veri Zarflama Analizi ile Karşılaştırılması. Yönetim, 21(65), pp.25–46.
  • Timor, M., & Mimarbaşı, H. (2013). Banka Şube Hizmet Etkinliklerinin Veri Zarflama Analizi ve Topsıs Yöntemleri İle Karşılaştırılması. İstanbul Üniversitesi İşletme İktisadı Enstitüsü Yönetim Dergisi, 24(75), 13-35.
  • Tongzon, J. (2001). Efficiency Measurement of Selected Australian and Other İnternational Ports Using Data Envelopment Analysis. Transportation Research Part A: Policy And Practice, 35(2), 107-122.
  • Tongzon, J., Chang, Y.T., Lee, S.Y. (2008). Efficiency Measurement of Selected Korean and Other International Ports Using Stepwise Data Envelopment Analysis (DEA). IAME Annual Conference, Dalian Maritime University. Dalian, Çin.
  • Trujillo, L., González, M. M., & Jiménez, J. L. (2013). An Overview on The Reform Process of African Ports. Utilities Policy, 25, 12-22
  • Türkiye Liman İşletmecileri Derneği (2016), TÜRKLİM Sektör Raporu, Matsis Matbaa, İstanbul.
  • UNCTAD (1976). Port Performance Indicators, TD/B/ C.4/131/Supp.1/Rev.1, New York, US: United Nations Conference on Trade And Development.
  • Valentine, V. F. & Gray, R. (2001). The Measurement of Port Efficiency Using Data Envelopment Analysis. Proceedings of The 9th World Conference on Transport Research. Seoul, South Korea. 22-27 July.
  • Wang, T. F., Cullinane, K., & Song, D. W. (2003). Container Port Production Efficiency: A Comparative Study of DEA and FDH Approaches. Journal of The Eastern Asia Society for Transportation Studies, 5, 698-701.
  • Wu, Y. C. J., & Goh, M. (2010). Container Port Efficiency in Emerging and More Advanced Markets. Transportation Research Part E: Logistics and Transportation Review, 46(6), 1030-1042.
  • Yuen, A. C. L., Zhang, A., & Cheung, W. (2013). Foreign Participation and Competition: A Way to İmprove The Container Port Efficiency in China?.Transportation Research Part A: Policy And Practice, 49, 220-231.
  • Zhu, J. (1996), DEA/AR Analysls Of The 1988-1989 Performance Of The Nanjing Textile Corporation, Arınals of Operations Research, 66: 311-335.

Volume 5, Issue 2, 2017

2017.05.02.OR.07

alphanumeric journal

Volume 5, Issue 2, 2017

Pages 339-352

Received: Nov. 20, 2017

Accepted: Dec. 24, 2017

Published: Dec. 25, 2017

Full Text [506.5 KB]

2017 Acer, A., Timor, M.

This is an Open Access article, licensed under Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons Attribution licence

scan QR code to access this article from your mobile device

Contact Us

Faculty of Transportation and Logistics, Istanbul University
Beyazit Campus 34452 Fatih/Istanbul/TURKEY

Bahadır Fatih Yıldırım, Ph.D.
editor@alphanumericjournal.com
+ 90 (212) 440 00 00 - 13219

alphanumeric journal

alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.