Measuring efficiency in logistics
Abstract
Dynamic market and environmental changes greatly affect operating of logistics systems. Logistics systems have to realize their activities and processes in an efficient way. The main objective of this paper is to analyze different aspects of efficiency measurement in logistics and to propose appropriate models of measurement. Measuring efficiency in logistics is a complex process that requires consideration of all subsystems, processes and activities as well as the impact of various financial, operational, environmental, quality and other factors. The proposed models have a basis in the Data Envelopment Analysis method. They could help managers in decision making and corrective actions processes. The tests and results of the model show the importance of input and output variables selection.
References
American Society for Heating Refrigeration and Air-Conditioning Engineers ASHRAE, 2006, Handbook: Refrigeration., I-P Edition,
Andrejić, M., Kilibarda, M., 2011, Efikasnost logističkih procesa distribucije proizvoda, National conference of quality, Kragujevac, A 237-A 242,
Andrejić, M., Ratković, B., Kilibarda, M., Bjelić, N., 2011, Measuring energy efficiency of refreigerated warehouses, React conference, Belgrade, pp. 313-319.
Boussofiane, A., Dyson, R. G. and Thanassoulis, E., 1991, Applied Data Envelopment Analysis, European Journal of Operational Research, Vol. 52, No. 1, pp. 1-15.
Charnes, A., Cooper, W.W., Rhodes, E., 1978, Measuring efficiency of decision making units, Europen Journal of Operations Research, Vol. 2, No. 6, pp. 429-444.
Coelli, T. D., Prasada, D.S.R.., O'Donnell, C. J. and Battese, G.E., 2005, An introduction to efficiency and productivity analysis, Springer 2nd ed, New York,
Cook, W.D., Liang, L. and Zhu, J., 2010, Measuring performance of two-stage network structures by DEA: A review and future perspective, Omega, Vol. 38, No. 6, pp. 423-430.
de Koster, M.B.M. and Balk., B.M., 2008, Benchmarking and monitoring international warehouse operations in Europe, Production and Operations Management, Vol. 17, No. 2, pp. 1-10.
Farrell, M. J., 1957, The Measurement of productive Efficiency, Journal of the Royal Statistical Society, Vol. 120, No. 3, pp. 253-290.
Gleason, J.M., Barnum, D.T., 1982, Toward valid measures of public sector productivity: performance measures in urban transit, Management science, Vol. 28, No. 4, pp. 379-386.
Hamdan, A., Rogers, K.J., 2008, Evaluating the efficiency of 3PL logistics operations, International Journal Production Economics, Vol. 113, No.1, pp. 235-244.
Ilić, S., Andrejić, M., 2011, Analiza efikasnosti mogućih modela opsluživanja na pumpnim stanicama primenom teorije masovnog opsluživanja/Analysis of effectiveness of possible queuing models at gas stations using the large-scale queuing theory, Vojnotehnički glasnik/Military Technical Courier, Vol. 59, No. 4, pp. 93-115, Ministry of Defence of the Republic of Serbia Belgrade,
Kilibarda, M., Andrejić, M., Vidović, M., 2011, Measuring efficiency of logistics processes in distribution centers, 14 th QMOD Conference on Quality and Service Sciences 2011 - From LearnAbility & InnovAbility to SustainAbility, San Sebastian. Spain, pp. 996-1010.
Klimberg, R.K. and Puddicombe, M., 1999, A Multiple Objective Approach to Data Envelopment Analysis, Advances in Mathematical Programming and Financial Planning, Vol. 5, pp. 201-232.
Klimberg, R.K., Lawrence, K. D. and Lawrence, S. M., 2010, Data envelopment analysis is not multiobjective analysis, Applications of Management Science, Vol. 14, pp. 79-93.
Liang, L., Yang, F., Cook, W.D., Zhu, J., 2006, DEA models for supply chain efficiency evaluation, Annals of Operations Research, Vol. 145, No. 1, pp. 35-49.
Min, H., Joo, S., 2006, Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis, Supply Chain Management: An International Journal, Vol. 11, No. 3, pp. 259-65.
Pamučar, D., 2011, Fuzzy-DEA model za merenje efikasnosti kvaiteta transporta/Fuzzy-DEA model for measuring the efficiency of transport quality, Vojnotehnički glasnik/Military Technical Courier, Vol. 59, No. 4, pp. 40-61, Ministry of Defence of the Republic of Serbia, Belgrade.
Ross, A., Droge, C., 2002, An integrated benchmarking approach to distribution center performance using DEA modeling, Journal of Operations Management, Vol. 20, No. 1, pp. 19-32.
Roy, M., 2010, Green Warehouses, ASHRAE Journal, Vol. 52, No. 3, pp. 64-70.
Zhou, G., Min, H., Xu, C., Cao, Z., 2008, Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis, International Journal of Physical Distribution & Logistics Management, Vol. 38, No. 4, pp. 262-279.
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