QFD-ANP Approach for Improving Conceptual Product Design of a Mattress Manufacturing Company
Kiran K John1, Harikrishna Yadav AV
Corresponding Author : Kiran K John
Government College of Engineering, Kannur, Kerala, India.
Email ID : firstname.lastname@example.org
Received : 2018-06-02 Accepted : 2018-07-11 Published : 2018-07-11
Abstract : As the market competition is high, the impact of customer requirements on the conceptual design of any product cannot be underestimated. QFD is one of the efficient tool to convey customer requirements CRs to Technical requirements TRs. In case of mattress manufacturing companies, the QFD tool usage is very limited. However, there are increasing trends of ergonomic and clinical studies regarding the comfort aspect. Massive efforts have already been done on increasing the effectiveness of QFD tool by hybridising with suitable decision making algorithm. QFD-ANP approach is one of the hybrid algorithms considering both inner dependency and inter (outer) dependency of various attributes (CRS and TRs). In this paper, a study was aimed to improve the conceptual product design of a mattress manufacturing company. The QFD-ANP approach was employed to gather the information and to find the overall interdependent priorities of TRs considering both inner and outer dependencies. The study results showed that the QFD approach is a design tool of vital importance, which enables companies to convey the customer needs to relevant product technical requirements and the overall priorities of TRs were identified. The algorithm such as ANP make the multiple criteria (collective) decision making more systematic. The designer can keep in mind and improve the existing product by considering the overall priority results.
Keywords : Quality, Manufacturing Company, QFD, ANP
Citation : Kiran K John et al. (2018). QFD-ANP Approach for Improving Conceptual Product Design of a Mattress Manufacturing Company, J. of Advancement in Engineering and Technology, V6I4.04. DOI : 10.5281/zenodo.1309001
Copyright : © 2018 Kiran K John. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Advancement in Engineering and Technology
ISSN : 2348-2931
Volume 6 / Issue 4
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