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The models evaluating courier and messenger companies in Poland

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Data Envelopment Analysis (DEA) is a well-established, popular, and often used method for efficiency evaluation of units from all sector, both commercial and nonprofit organisations, of any scale of operations. Network DEA models are a relatively recent approach used to examine the efficiency of decision-making units (DMUs) having an internal structure of sub-processes. The article presents the concept of DEA network models in estimating the efficiency of courier and messenger companies with relations to their business clients. The considerations are supported by an example of data concerning leaders from the sector of couriers and messengers in Poland and one of the biggest and most popular online stores. The results are compared with the traditional DEA approach. In addition, to measure reliability for DEA scores, the jackknife procedure was performed. The author proves the usefulness of network DEA as a research and management tool.
Rocznik
Strony
50--58
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
  • Faculty of Management, International China and Central-Eastern Europe Institute of Logistics and Service Science, Poland
autor
  • Bialystok University of Technology, Faculty of Management, International China and Central-Eastern Europe Institute of Logistics and Service Science, Poland
Bibliografia
  • Chen, C., & Yan, H. (2011). Network DEA model for supply chain performance evaluation. European Journal of Operational Research, 213(1), 147-155. doi: 10.1016/j.ejor.2011.03.010
  • Chen, Y., Liang, L., & Yang, F. (2006). A DEA game model approach to supply chain efficiency. Annals of Operations Research, 145(1), 5-13. doi: 10.1007/s10479-006-0022-y
  • Cook, W.D., & Zhu, J. (Ed.). (2014). Data Envelopment Analysis: A Handbook of Modeling Internal Structure and Network. Springer.
  • Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35-49.
  • Główny Urząd Statystyczny [Central Statistical Office of Poland]. (2014). Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych lat 2010-2014 [The information society in Poland. Statistical results of years 2010-2014]. Retrieved from http://stat.gov.pl/obszary-tematyczne/nauka-i-technika-spoleczenstwo-informacyjne/spoleczenstwo-informacyjne
  • Johnson, A., & Mcginnis, L. (2011). Performance measurement in the warehousing industry. IIE Transactions, 43, 220-230. doi: 10.1080/0740817X.2010.491497
  • Kao, C. (2014). Network data envelopment analysis: A review. European Journal of Operational Research, 239, 1-16. doi: 10.1016/j.ejor.2014.02.039
  • Kozłowska, J. (2014). Technical efficiency of Polish companies operating in the couriers and messengers sector – the application of data envelopment analysis method. Quantitative Methods in Economics, XV(2), 339-348.
  • Lewis, H.F., & Sexton, T.R. (2004). Network DEA: efficiency analysis of organizations with complex internal structure. Computers & Operations Research, 31, 1365-1410. doi:10.1016/S0305-0548(03)00095-9
  • Liang L., Yang F., Cook W.D., & Zhu J. (2006). Data EA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49. doi 10.1007/s10479-006-0026-7
  • Liang, L., Li Z.Q., Cook, W.D, & Zhu, J. (2011). Data envelopment analysis efficiency in two stage networks with feedback. IIE Transactions, 43(5), 309-322. doi:10.1080/0740817X.2010.509307
  • Lu, B., & Wang, X.L. (2012). Comparative Studies on Efficiency Evaluation of Chinese and Korean Major Container Terminals. Advances in information Sciences and Service Sciences (AISS), 4(23). doi: 10.4156/AISS
  • Mentzer, J.T., DeWitt, W., Keebler, J.S., Soonhoong, M., Nix, N.W., Smith, C.D., & Zacharia, Z.G. (2001). Defining Supply Chain Management. Journal of Business Logistics, 22(2), 1-25. doi: 10.1002/j.2158-1592. 2001.tb00001.x
  • Min, H., & Joo, S.J. (2006). Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis. Supply Chain Management: An International Journal, 11(3), 259-265.
  • Mishra, R.K. (2012). Measuring supply chain efficiency: A DEA approach. Journal of Operations and Supply Chain Management, 5(1), 45-68.
  • Momeni, E., Tavana, M., Mirzagoltabar, H., & Mirhedayatian, S.M. (2014). A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics. Journal of Intelligent &  Fuzzy Systems, 27, 793-804. doi: 10.3233/IFS-131037
  • Quariguasi Frota Neto, J., Bloemhof-Ruwaard, J.M., van Nunen, J.A.E.E., & van Heck, E. (2008). Designing and evaluating sustainable logistics networks. International Journal Production Economics, 111, 195-208. doi: 10.1016/j.ijpe.2006.10.014
  • Urząd Komunikacji Elektronicznej [Office of Electronic Communications]. (2015). Report on the state of the postal market in 2014. Retrieved from https://en.uke.gov.pl/files/?id_plik=20239
  • Urząd Komunikacji Elektronicznej [Office of Electronic Communications]. (2014). Report on the state of the postal market in 2013. Retrieved from https://en.uke.gov.pl/files/?id_plik=17039
  • Wong, P.W., & Wong, K.Y. (2007). Supply chain performance, measurement system using DEA modeling. International Journal of Management and Data System, 107(3), 361-381. doi: 10.1108/02635570710734271
  • Zhu, J. (2003). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets and DEA Excel Solver. Boston: Kluwer Academic Publishers
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2ed9bced-d001-44a2-afc8-d1087ef70e8e
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