Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—The paper proposed a methodology to rank the attributes of any product which is beneficial in
product design and development. The paper is accomplish with a survey which is conducted to
know the required customer choice, attributes preferences in the products. Suggested
methodology help the enterprise to know the market demand, according to which product is to
be manufactured to satisfy a mass marketing segment. Design and development of the product
should mainly focus on those attributes which are as per the ranking of customer’s preferences.
Changing requirement of the market, mass customization, timely response and customer
satisfaction attributes are the main driving force for modularity concept. Fuzzy logic concept is
used to address the uncertainty and imprecise decision in analysis of the attributes of the product.
In order to meet the customer’s satisfaction it is presumed that the enterprise should be flexible
to meet the rapid changes of the market demand.
Index Terms—Fuzzy logic, Customer preferences, Customer satisfaction, Normalization, Product
Cite: Sachin Agarwal, "Customer Oriented Product Attributes Ranking Using Fuzzy Normalization," International Journal of Mechanical Engineering and Robotics Research, Vol.4, No. 2, pp. 14-21, April 2015.
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