Selecting Product Configuration Using a Combination of Fuzzy-ANP and ELECTRE-TOPSIS Approaches

Abstract

Product selection is done according to its specifications. In modern competitive markets, product survival refers back to its appropriate price, quality, and innovations in accordance with customers' needs. In order to increase customers' satisfaction, the quality of products and services should be improved. In this study, we evaluated different configurations of laptops using Multi-criteria Decision Making (MCDM) approaches. First, we employed a structured questionnaire to collect important features about laptop selection from customers' viewpoints, and the customers scored the features based on their own opinions. Then, in solving the problem, it was used fuzzy Analytical Hierarchy Process (AHP) to weigh criteria such as product weight, price and time spending for full battery charge. Afterwards, TOPSIS-ELECTRE approach was used to rank laptop alternatives to propose the best one. Based on the results, good price and having main features at a desirable level were identified as main factors to improve configuration and customer satisfaction.