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Article

MEASURING THE EFFICIENCY OF THE TRANSPORT PROCESS IN DISTRIBUTION CENTRES OF A TRADING COMPANY

DOI: 10.7708/ijtte2022.12(1).07


12 / 1 / 94 - 110 Pages

Author(s)

Milica Mitrović - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Milan Andrejić - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Gordana Radivojević - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Dražen Popović - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Milorad Kilibarda - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -


Abstract

Distribution centres are complex business systems in which various interconnected processes are realized. The efficiency of distribution centres depends on a number of indicators that stipulate the way processes and activities in a system function. By monitoring the performance indicators and their deviation from defined target values, the need to respond and apply appropriate corrective actions can be designated. This paper analyzes the efficiency of the transport process of a trading company in Serbia. For efficiency analysis, the CCR DEA model was used, which integrates different performance indicators into a single efficiency measure. The analysis of the transport process was conducted through two studies. The first study analyzed the efficiency of 93 drivers based on the following variables: working hours of drivers, route duration, fuel consumption, distance travelled, transport errors, number of routes per driver, vehicle utilization time and number of deliveries. The second study analyzed the efficiency of the fleets of four distribution centres based on the following variables: number of drivers, number of vehicles, working hours of drivers, route duration, distance travelled, transport errors, air pollutant emissions and number of deliveries. Output and input oriented models were made in the first study. According to the obtained results of both models, the average efficiency of the driver was 82%, which means that each driver can achieve a higher output, i.e. input by 18%. In the second study, an output-oriented model was made and according to the obtained results, the average efficiency of fleets was 95%. The results of both studies indicate the possibility of applying certain corrective measures and improving the organization of work in the transport process. The developed models can be applied to real systems and assist managers in making decisions in order to improve operational efficiency.


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Acknowledgements:

This paper was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, through the project TR 36006.


References:

Andrejić, M. 2011. Measuring warehouse efficiency, IMK-14 Research & Development 40(3): 41-44.

 

Andrejić, M.; Kilibarda, M. 2012. The efficiency of fleets in Serbian distribution centres. In Proceedings of the 2nd International Conference on Supply Chains, 1-8.

 

Andrejić, M. M.; Kilibarda, M. J. 2017. Efficiency of logistics processes. University of Belgrade - Faculty of Transport and Traffic Engineering. 243 p.

 

Andrejić, M.; Kilibarda, M. 2018. Risk analysis of freight forwarders’ activities in organization of international commodity flows, International Journal for Traffic and Transport Engineering 8(1): 45-57.

 

Andrejić, M.; Bojović, N.; Kilibarda, M. 2013a. Benchmarking distribution centres using Principal Component Analysis, Expert Systems with Applications 40(10): 3926-3933.

 

Andrejić, M.; Kilibarda, M.; Bojović, N. 2013b. Measuring energy efficiency of the transport system in Serbia. In Proceedings of the XI Balkan Conference on Operational Research, 383-389.

 

Azadi, M.; Shabani, A.; Khodakarami, M.; Saen, R. F. 2014. Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers, Transportation Research Part E 70: 324-338.

 

Charnes, A.; Cooper, W. W.; Rhodes, E. 1978. Measuring the efficiency of decision making units, European journal of operational research 2(6): 429-444.

 

Gleissner, H.; Femerling, J.C. 2013. Logistics. Springer texts in business and economics, Springer international publishing, Switzerland. 311p.

 

Itkonen, A.K.; Bockstaller, N.; Perier, A. 2016. A European Strategy for low-emission mobility. Available from Internet: https://eur-lex.europa.eu/resource.html?uri=cellar:e44d3c21-531e-11e6-89bd-01aa75ed71a1.0002.02/DOC_1&format=PDF.

 

Ji, X.; Wu, J.; Zhu, Q. 2016. Eco-design of transportation in sustainable supply chain management: A DEA-like method, Transportation Research Part D: Transport and Environment 48: 451-459.

 

Markovits-Somogyi, R.; Bokor, Z. 2014. Assessing the Logistics efficiency of European countries by using the DEA-PC methodology, Transport 29(2): 137-145.

 

Nguyen, H.O.; Nguyen, H.V.; Chang, Y.T.; Chin, A.T.; Tongzon, J. 2015. Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports, Maritime Policy & Management 43(5): 644-659.

 

Omrani, H.; Keshavarz, M. 2016. A performance evaluation model for supply chain of shipping company in Iran: an application of the relational network DEA, Maritime Policy & Management 43(1): 121-135.

 

Papić, V.; Vidović, M.; Manojlović, A.; Momčilović, V.; Trifunović, J.; Vukadinović, K.; Popović, D. 2010. Determination of emissions of gaseous pollutants originating from road traffic using the COPERT IV model of the European Environment Agency. Belgrade: University of Belgrade, Faculty of Transport and Traffic Engineering – Institute of the Faculty of Transport and Traffic Engineering. 130 p.

 

Ratković, B.; Andrejić, M.; Vidović, M. 2011. Measuring the efficiency of a healthcare waste management system in Serbia with data envelopment analysis, Waste Management & Research 30(6): 635-638.

 

Rodrigue, J.P. 2020. The Geography of Transport Systems. London: Routledge. 480 p. Savić, G. 2016. Measuring the performance of business systems. Belgrade: University of Belgrade – Faculty of Organizational Sciences. 164 p.

 

Virtos, H. 2021. Open Source DEA. Available from Internet: https://opensourcedea.org/dea.

 

Zhou, G.; Chung, W.; Zhang, Y. 2014. Measuring energy efficiency performance of China’s transport sector: A data envelopment analysis approach, Expert Systems with Applications 41(2): 709-722.