Selection of Optimal Four Wheeler Applying AHP & TOPSIS Technique
DOI:
https://doi.org/10.52756/ijerr.2019.v20.002Keywords:
AHP, breaking efficiency, MCDA, TOPSISAbstract
Now a day’s purchasing one car among the verities of model of car available in the market are very difficult task to the customers. Day by day various technical and operational parameter specifications like price, yearly maintenance cost, millage, breaking efficiency, comfort etc. are changed. Therefore, to overcome this confusion some selection procedure techniques are required. TOPSIS and AHP is the one of them selection procedure technique are adopted for this problem. These two techniques provide a base for decision-making processes, where there are limited numbers of alternatives but each has large number of criteria. It is very difficult to understand for all the demands of customer and to make a product which will fulfill the all demands completely. For the complicated decision making problem including qualitative and quantitative factors, different decision making techniques such as AHP and TOPSIS can also be used with MCDA for better results. In this research work the customer’s priorities are explored, while purchasing a four wheeler automobile segment using Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this study, different criteria to be considered during purchasing of four wheeler using structured questionnaire which based on SAATY scale. From the calculations, it is proved that FORD (ASPIRE) is ranked as best and appropriate alternative which has extremely good breaking efficiency compared to Volkswagen (Vento), Toyota (Etios), Hyundai (Verna), Nissan (Sunny), Honda (Amaze) and Tata (Nexon).
References
Agrawal, S., Singh, R. K. and Murtaza, Q. (2015). Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology. J. Ind. Eng. Int. 12: 15-27.
Aggarwal, R. and Singh, S. (2013). AHP and Extent Fuzzy AHP Approach for Prioritization of Performance Measurement Attributes. International Journal of Mechanical Aerospace Industrial Mechatronic and Manufacturing Engineering. 7: 6-11.
Alexandre, L., Vidal, F. M. and Bocquet, J. C. (2011). Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects. Expert Systems with Applications. 38: 5388-5405.
Apaka, S., Gogus, G. G. and Karakadilar, I. S. (2012). An analytic hierarchy process approach with a novel framework for luxury car selection. Procedia - Social and Behavioral Sciences. 58: 1301-1308.
Badri, M. A. (2001). A combined AHP GP model for quality control systems. International Journal of Production Economics. 72: 27-40.
Byun, D. H. (2001). The AHP approach for selecting an automobile purchase model. Information & Management. 38: 289-297.
Chang, C. W., Wu, C. R., Lin, C. T. and Chen, H. C. (2007). An application of AHP and sensitivity analysis for selecting the best slicing machine. Computers &Industrial Engineering. 52: 296-307.
Christopher, T. and Sunitha, J. J. (2014). Multi Criteria Decision Technique on Product Prioritiz action. International Journal of Emerging Engineering Research and Technology. 2: 194-200.
Dagdeviren, M. and Yuksel, I. (2008). Developing a fuzzy analytic hierarchy process (AHP) model for behaviorbased safety management. Information Sciences. 178: 1717-1733.
Dalila, M., Fontes, B. M. M. and Pereira, T. (2013). Multi criteria Decision making a case study in the automobile industry. Working paper series of University of Porto. Pp.1-8.
Deswal, M. and Garg, S. K. (2015). Application of TOPSIS: a multiple criteria decision making approach in supplier selection. 2nd International conference on Recent Innovations in science, engineering and management. 3: 577-581.
Karim, R. and Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS Methods. American Journal of Industrial Engineering. 4: 7-13.
Lapersonne, E., Laurent, G. and Goff, J. J. L. (1995). Consideration sets of size one: An empirical investigation of automobile purchases. International Journal of Research in Marketing. 12: 55-66.
Lee, C. P., Lou, S. J., Shih, R. C. and Tseng, K. H. (2011). An AHP-based weighted analysis of network knowledge management platforms for elementary school students. The Turkish Online Journal of Educational Technology. 10: 52-59.
Mehrbakhsh, N. and Othman, B. I. (2014). A Model for Detecting Customer Level Intentions to Purchase in B2C Websites Using TOPSIS and Fuzzy Logic RuleBased System. Arab. J. Sci. Eng. 39 : 907–1922.
Ngai, E. W. T. (2003). Selection of websites for online. Information & Management. 40: 233-242.
Ngai, E. W. T. and Chan, E. W. C. (2005). Evaluation of knowledge management tools using AHP. Expert Systems with Applications. 29(4): 889-899.
Ossadnik, W. and Lange, O. (2009). AHP-based evaluation of AHP-Software. European Journal of Operational Research. 118: 578-588.
Punj, G. and Brookes, R. (2002). The influence of pre-decisional constraints on information search and consideration set formation in new automobile purchases. International Journal of Research in Marketing. 19: 383-400.
Reddy, S. S. and Vani. (2014). A New Car Selection in the Market using TOPSIS Technique. International Journal of Engineering Research and General Science. 2(4): 177-181.
Saravanan, S. and Mahendran, P. (2014). An AHP based approach - selection of measuring instrument for engineering institution selection. Asia Pacific Journal of Research. 1: 143-150.
SriYogi, K. (2015). An empirical and fuzzy logic approach to product quality and purchase intention of customers in four wheelers. Pacific Science Review B: Humanities and Social Sciences. Pp. 57- 69.
Triantaphyllou, E. and Mann S. H. (1995). Using the analytic hierarchy process for decision making in engineering applications: some challenges. International Journal of Industrial Engineering: Applications and Practice. 2: 35-44.
Vaidya, O. S. and Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research. 169: 1-29.
Valamarthi, A. (2015). Factors Influencing the Students Buying Behavior of four Wheelers in Tirupur District. International Journal of Emerging Research in Management &Technology. 4: 90-94. Vincent, S., Lai, R. P., Trueblood, B. and Wong, K. (1999). Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management. 36: 221- 232.
Wei, C. C., Chien, C. F. and Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics. 96: 47-62.
Yoshi, T. S., Shang, J. and Chiang, W. C. (2009). A decision support framework for internal audit prioritization in a rental car company: A combined use between DEA and AHP. European Journal of Operational Research. 199: 219-231.
Yousefi, A. and Abdollah, H. V. (2010). An integrated group decision making model and its evaluation by DEA for automobile industry. Expert Systems with Applications. 37: 8543-8556.