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New Product Design Using Chebyshev’s Inequality Based Interval-Valued Intuitionistic Z-Fuzzy QFD Method
Volume 33, Issue 1 (2022), pp. 1–33
Pub. online: 4 February 2022      Type: Research Article      Open accessOpen Access
Received
1 May 2021
Accepted
1 January 2022
Published
4 February 2022

Abstract

In Quality function deployment (QFD) approach, customers tend to express their needs in linguistic terms rather than exact numerical values and these needs generally contain vague and imprecise information. To overcome this challenge and to use the method more effectively for complex customer-oriented design problems, this paper introduces a novel intuitionistic Z-fuzzy QFD method based on Chebyshev’s inequality (CI) and applies it for a new product design. CI provides the assignment of a more objective reliability function. The reliability value is based on the maximum probability obtained from CI. Then, the expected values of lower and upper bounds of interval-valued intuitionistic fuzzy (IVIF) numbers are determined. A competitive analysis among our firm and competitor firms and an integrative analysis for the different functions of QFD is presented. The proposed Z-fuzzy QFD method is applied to the design and development of a hand sanitizer for struggling with COVID-19.

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Biographies

Haktanir Elif
https://orcid.org/
elif.haktanir@altinbas.edu.tr

E. Haktanır is currently a lecturer at Altinbas University. She received her MSc and PhD degrees in industrial engineering from Istanbul Technical University. Her research interests are fuzzy decision making, multi-criteria decision making, statistical decision making, quality control and management, and new product development. She is an organization committee member of International Conference on Intelligent and Fuzzy Systems, INFUS. Her refereed articles have appeared in a variety of journals including Computers & Industrial Engineering, Journal of Intelligent & Fuzzy Systems, Journal of Multiple-Valued Logic & Soft Computing.

Kahraman Cengiz
kahramanc@itu.edu.tr

C. Kahraman received his MSc and Phd degrees in industrial engineering from Istanbul Technical University. He is on the editorial board of some journals such as International Journal of Computational Intelligence Systems (Atlantis Press), Journal of Enterprise Information Management (Emerald), New Mathematics and Natural Computation (World Scientific), and Human and Ecological Risk Assessment (Taylor And Francis). He has also been the guest editor of special issues of some international journals such as Information Sciences (Elsevier), Journal of Enterprise Information Management (Emerald), International Journal of Approximate Reasoning (Elsevier), Human and Ecological Risk Assessment, and Stochastic Environmental Research and Risk Assessment. He is the editor of the Springer books Fuzzy Applications in Industrial Engineering, Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments, Fuzzy Engineering Economics with Applications, Intelligence Systems in Environmental Management: Theory and Applications, Computational Intelligence Systems in Industrial Engineering, Fuzzy Statistical Decision-Making – Theory and Applications, Production Engineering and Management under Fuzziness, Fuzzy Logic in Its 50th Year: New Developments, Directions and Challenges, Supply Chain Management Under Fuzziness Recent Developments and Techniques, Intelligent Techniques in Engineering Management Theory and Applications, and Intelligent Decision Making in Quality Management Theory and Applications.


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Keywords
quality function deployment interval-valued intuitionistic fuzzy sets Z-fuzzy numbers Chebyshev’s inequality new product design

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