International Scientific Journal


In this paper multiple criteria decision making approach of alternative fuels for waste collection vehicles in southeast region of Serbia was presented. Eight alternative fuels and advanced vehicle technologies were ranked according to thirteen criteria, including financial, socio-technical, and environmental. Assessment of alternatives was performed by using the weighted aggregated sum product assessment method and results were verified using multi-objective optimization on the basis of ratio analysis method. Considered criteria were obtained from previous researches and by assessment of professional experts from manufacturing industries, public utility companies, and academics institutions. The analysis showed that both biodiesel fuels - derived from used cooking oil or from vegetable oils are the best alternative fuels for Serbian waste collection vehicles in this point of time. Compressed natural gas-powered vehicles were also ranked high in this analysis, but due to the lack of financial capability for their purchase (especially in southeast region of Serbia), their gradual introduction into the waste collection fleet was proposed.
PAPER REVISED: 2016-05-07
PAPER ACCEPTED: 2016-05-12
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2016, VOLUME 20, ISSUE Supplement 5, PAGES [S1585 - S1598]
  1. ***, Commission of the European Communities, Green Paper - Towards a New Culture for Urban Mo-bility, COM (2007) 551 of September 25, Brussels
  2. Sousanis, J., World Vehicle Population Tops 1 Billion Units,, Aug. 2011, retrieved March 15, 2016, index.html
  3. Petrović, G., et al., Optimal Preventive Maintenance of Refuse Collection Vehicles Using Probabilistic and Computational Intelligence Approach, Sci. Res. Essays, 6 (2011), 16, pp. 3485-3497
  4. *** PUC "Medijana", Report on the Effectiveness and Maintenance of Vehicles in 2013 and 2014, Pub-lic utility company - "Medijana", Nis, Serbia, 2013
  5. Fazeli, R., et al., A Multi-Criteria Evaluation Framework for Alternative Light-Duty Vehicles Technolo-gies, International Journal of Multicriteria Decision Making, 1 (2011), 2, pp. 230-251
  6. Tzeng, G. H., et al., Multi-Criteria Analysis of Alternative-Fuel Buses for Public Transportation, Energy Policy, 33 (2005), 11, pp. 1373-1383
  7. Tsita, K. G., Pilavachi, P. A., Evaluation of Alternative Fuels for the Greek Road Transport Sector Using the Analytic Hierarchy Process, Energy Policy, 48 (2012), Sep., pp. 677-686
  8. Vahdani, B., et al., Two Novel FMCDM Methods for Alternative-Fuel Buses Selection, Applied Mathe-matical Modelling, 35 (2011), 3, pp. 1396-1412
  9. Sakthivel, G., et al., A Hybrid Multi-Criteria Decision Modeling Approach for the Best Biodiesel Blend Selection Based on ANP-TOPSIS Analysis, Ain Shams Engineering Journal, 6 (2015), 1, pp. 239-256
  10. Mohamadabadi, H. S., et al., Development of a Multi-Criteria Assessment Model for Ranking of Re-newable and Non-Renewable Transportation Fuel Vehicles, Energy, 34 (2009), 1, pp. 112-125
  11. Maimoun, M., et al., Multi-Level Multi-Criteria Analysis of Alternative Fuels for Waste Collection Ve-hicles in the United States, Science of the Total Environment, 550 (2016), Apr., pp. 349-361
  12. Peters, S., et al., Automotive Manufacturing Technologies - an International Viewpoint. in: Manufactur-ing Review, 1 (2014), 10, pp. 1-12
  13. ***, Hydropower, E-Power and Dualpower, retrieved February 2, 2016, FAUN Product Brochure,
  14. de Oliveira, L. A., et al., A Financial and Environmental Evaluation for the Introduction of Diesel-Hydraulic Hybrid Drive System in Urban Waste Collection, Transp. Res. Part D: Transp. Enviro., 31 (2014), Avg., pp. 100-109
  15. Milutinović, B., et al., The Effect of Environmental Indicators on the Waste Treatment Scenarios Rank-ing, Facta universitatis Series: Mechanical Engineering 13 (2015), 2, pp. 155-167
  16. Maimoun, M. A., Environmental Study of Solid Waste Collection, M. Sc. thesis, University of Central Florida, Orlando, Fla., USA, 2011
  17. ***, The Association of Oil Companies of Serbia (UNKS), retrieved March 3, 2016, index.php?page=home&lang=2
  18. ***,, retrieved March 3, 2016
  19. ***,, (in Russian), retrieved March, 2016
  20. ***, Alternative Fuels Data Center Fuel Properties Comparison, United States Department of Energy. February 27, 2013, retrieved March 3, 2016, chart.pdf
  21. Keller, M., FOEN 2010: Pollutant Emissions from Road Transport, 1990 to 2035. Updated in 2010. Fed-eral Office for the Environment, Bern. Environmental studies no. 1021, Federal Office for the Environ-ment, Bern, Switzerland, 2010
  22. Papić, V., et al., Determination of Emissions of Gaseous Pollutants from Road Transport Using COPERT IV Model of the Environmental European Agency (in Serbian), Institute of the Faculty of Transport and Traffic Engineering, Belgrade, 2010
  23. Faiz, A., et al., Air Pollution from Motor Vehicles: Standards and Technologies for Controlling Emis-sions, Washington (D. C.): World Bank. ISBN: 0821334441, 1996
  24. Manojlović, A. V., et al., Fleet Renewal: An Approach to Achieve Sustainable road transport, Thermal science, 15 (2011), 4, pp. 1223-1236
  25. Zavadskas, E. K., et al., Optimization of Weighted Aggregated Sum Product Assessment, Elektronika ir Elektrotechnika - Electronics and Electrical Engineering, 122 (2012), 6, pp. 3-6
  26. Zavadskas, E. K., et al., Selecting a Contractor by Using a Novel Method for Multiple Attribute Analy-sis: Weighted Aggregated Sum Product Assessment with grey values (WASPAS-G), Studies in Infor-matics and Control 24 (2015), 2, pp. 141-150
  27. Turskis, Z., et al., Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selec-tion, International Journal of Computers Communications & Control, 10 (2015), 6, pp. 873-888
  28. Zavadskas, E. K., et al., Extension of Weighted Aggregated Sum Product Assessment with Interval-Valued Intuitionistic Fuzzy Numbers (WASPAS-IVIF), Applied Soft Computing, 24 (2014), Nov., pp. 1013-1021
  29. Madić, M., et al., Business and Engineering Decision Making by Using Multi-Criteria Decision Making Methods (in Serbian), University of Kragujevac, Kragujevac, Serbia, 2015
  30. Chakraborty, S., Zavadskas, E. K., Applications of WASPAS Method in Manufacturing Decision Mak-ing, Informatica, 25 (2014), 1, pp. 1-20
  31. Triantaphyllou, E., Mann, S. H., An Examination of the Effectiveness of Multi-Dimensional Decision- -Making Methods: A Decision-Making Paradox, Decision Support Systems, 5 (1989), 3, pp. 303-312
  32. Saparauskas, J., et al., Selection of Façade's Alternatives of Commercial and Public Buildings Based on Multiple Criteria, International Journal of Strategic Property Management, 15 (2011), 2, pp. 189-203
  33. Brauers, W. K. M., Zavadskas, E. K., The MOORA Method and its Application to Privatization in a Transition Economy, Control and Cybernetics, 35 (2006), 2, pp. 445-469

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence