Volume 4, No. 2, April 2015

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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International Journal of Mechanical Engineering and Robotics Research
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Customer Oriented Product Attributes Ranking Using Fuzzy Normalization

Sachin Agarwal
Department of Mechanical Engineering, SAIT, Indore, MP, India.

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 attributes

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.