Integrated topsis-moora model for prioritization of new bike selection

Abstract

Nowadays purchasing two wheeler especially bike in this fluctuating market is backbreaker task for the customers due to lots of complex specifications like mileage, style, life span, cost and suspension, etc. To tame this problem, we have many techniques available with us like multi-criteria decision-making (MCDM), fuzzy logic, etc. We have used MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution and these methods are one of the best techniques among MCDM because it gives best results and it is used by most of the researcher. Using this technique, we find out the best optimal bike from the customer point of view based on their requirements. First time MOORA and TOPSIS methods are used together to solve this type of problem. Main ten attributes were identified through literature review, and discussion with the experts from the Indian automobile industry. Integrated TOPSIS-MOORA approach is proposed for prioritizing alternatives based on four selected attributes. Perusal of literature indicates that these methods have not been applied earlier for selection of new bikes in Indian automobile industry. Six Indian automobile companies were selected for evaluation of this methodology. Results indicate that best optimal bike based on customer requirements. Fuel economy, style, cylinder capacity and cost are top four prioritized factor taken in this study. The findings will be useful for every new customer and all automobile industry.