Optimisation of product design through QFD, AHP, Entropy and TOPSIS method: a case study of a Bathtub

International Journal of Industrial Engineering

© 2016 by SSRG - IJIE Journal

Volume 3 Issue 1

Year of Publication : 2016

Authors : M.S. Parvez, S. M. Tamjid Al Rifat, S. M. Moshur Siddiquei and A.S.M. Hoque

10.14445/23499362/IJIE-V3I1P101

How to Cite?

M.S. Parvez, S. M. Tamjid Al Rifat, S. M. Moshur Siddiquei and A.S.M. Hoque, "Optimisation of product design through QFD, AHP, Entropy and TOPSIS method: a case study of a Bathtub," SSRG International Journal of Industrial Engineering, vol. 3,  no. 1, pp. 1-7, 2016. Crossref, https://doi.org/10.14445/23499362/IJIE-V3I1P101

Abstract:

This paper proposes a hybrid framework combining AHP (Analytical Hierarchy Process), QFD (Quality Function Deployment), Entropy and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to incorporate customer preference and perception into the process of product development. QFD is a useful analysing tool in product design and development to identify these latent customer requirements. In this paper, first by using AHP several customer requirements are identified and prioritised. Secondly, by using fishbone diagram the relationship between technical attributes and customer requirements are listed and these relationships are put in a house of quality. Entropy method is used to calculate sales point. Afterward, TOPSIS method is used to find the best and worst alternative solution. The proposed method is used for evaluating the performance of the bathtub. Then the rankings of the four renowned bathtub companies are determined according to their results.

Keywords:

QFD, Customer Requirements, AHP, Entropy Method, TOPSIS

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