Selection of commercially available alternative passenger vehicle in automotive environment
DOI:
https://doi.org/10.31181/oresta200113bKeywords:
Alternate passenger vehicle selection, CoCoSo, CRITIC, sensitivity analysisAbstract
There has been a paradigm shift in the automobile industry due to e-mobility which reduces green-house gas emission and air pollution. In this context, selection of the most feasible automotive passenger vehicle is a complex decision-making problem due to the use of different power source, technology, specification and price. In this paper, five alternative vehicles based on fuel cell, hybrid electric, battery electric, plug in hybrid electric and compressed natural gas bi-fuel are evaluated using an integrated criteria importance through inter-criteria correlation (CRITIC) - Combined Compromise Solution (CoCoSo) method. CRITIC method is used to obtain the weights of the vehicle selection criteria, whereas, CoCoSo method is employed to rank the vehicles considering different technical and operational criteria such as greenhouse gas emission, fuel economy, vehicle range, accelerating time, annual fuel cost and vehicle base model cost. It is found that battery electric vehicle out performs all other considered alternatives. The validity of the results is verified by comparing with other well popular MCDM methods. Further, a sensitivity analysis is conducted by changing the criteria weights to establish the stability of the model.
Downloads
References
Acharya, K.K., Murmu., K.K., Bagal., D. K., & , Pattanaik., A.K. (2019). Optimization of the process parameters of dissimilar welded joints in FSSW welding process of aluminum alloy with copper alloy using Taguchi optimization technique. International Journal of Applied Engineering Research, 14(13), 54-60.
Axsen, J., & Kurani, K.S. (2011). Interpersonal influence in the early plug-in hybrid market: observing social interactions with an exploratory multi-method approach. Transport Research. Part D: Transport Environment. 16, 150-159.
Biswas,T. K., Stevik, J., Chatterjee, P. & Yazdani, M. (2019). An Integrated Methodology for Evaluation of Electric Vehicles under Sustainable Automotive Environment. In P. Chatterjee, M. Yazdani, S. Chakraborty, D. Panchal & S. Bhattacharyya (Eds.), Advanced Multi-Criteria Decision Making for Addressing Complex Sustainability Issues (pp. 41-62). IGI Global, United States.
Biswas, T., & Das, M. (2018a). Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method, Management Science Letters, 8 (2), 121-130.
Biswas, T., & Das, M. C. (2018b). Selection of commercially available electric vehicle using fuzzy AHP-MABAC, Journal of the Institution of Engineers (India): Series C, 100(3), 531-537.
Biswas, T. K., & Saha, P. (2019). Selection of commercially available scooters by new MCDM method, International Journal of Data and Network Science, 3, 137-144.
Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2008). Multi-objective decision-making for road design. Transport, 23, 183-193.
Chiang, K.F., & Cheng, S.W.(2009). Using Analytic Hierarchy Process Method and Technique for Order Preference by Similarity to Ideal Solution to Evaluate Curriculum in Department of Risk Management and Insurance, Journal of Social Sciences, 19(1), 1-8.
Diakoulaki, D., Mavrotas, G., & L. Papayannakis. (1995). Determining objective weights in multiple criteria problems: The CRITIC method, Computers & Operations Research, 22(7), 763-770.
Guo, C., Wang, Y., & Jiang, W. (2013). An empirical study of evaluation index system and measure method on city’s soft power: 17 cities in Shandong province. Cross-Cultural Communication, 9(6), 27-31.
IEA (2019). Global EV Outlook 2019. www.iea.org/publications/reports/globalevoutlook2019 (date of accession: 22/11/2019)
Kazan, H., & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and CRITIC methods. International Journal of Management and Sustainability, 3(4), 203-224.
Madic, M. & Radovanovic, M. (2015). Ranking of some most commonly used nontraditional machining processes using ROV and CRITIC methods. UPB Scientific Bulletin, Series D: Mechanical Engineering, 77(2), 193-204.
Ozaki, R. & Sevastyanova, K. (2011). Going hybrid: an analysis of consumer purchase motivations. Energy Policy, 39, 2217-2227.
Pamucar, D., & Cirovic, G. (2015).The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC), Expert Systems with Applications, 42, 3016-3028.
Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research: a review and research agenda. Transport Research. Part D: Transport Environment,34, 122-136.
Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis. Z. (2019). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519.
Yılmaz, B. & Harmancıoglu, N. B. (2010). Multi-criteria decision making for water resource management: a case study of the Gediz River Basin, Turkey. Water SA, 36(5), 563-576.
Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019). A structured framework for sustainable supplier selection using a combined BWM-COCOSO model. Procs. of international scientific conference: contemporary issues in business, management and economics engineering, 9th - 10th May, Vilnius, Lithuania. https://doi.org/10.3846/cibmee.2019.081.
