An Approach Integrating Kano Model And Fuzzy Logic Into The Planning Matrix Of Quality Function Deployment: An Application For The Design of a Baby Diaper
It was demonstrated that the AKFQFD could effectively prioritize the importance weights of customer requirements.
📌 3 Key Takeaways
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Objective & Hypothesis:industries such as baby diapers, would help to prevent design repetitions and consequently wasting time and resources.
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Key Findings & Data:Quality Function Deployment (QFD) has turned out to be a key methodology to design products by getting the voice of the customer in the first place, as well as converting the customer’s voice into product engineering characteristics.
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Conclusion & Impact:It was demonstrated that the AKFQFD could effectively prioritize the importance weights of customer requirements.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Kano model · Quality function deployment · Fuzzy logic
Abstract
industries such as baby diapers, would help to prevent design repetitions and consequently wasting time and resources. Quality Function Deployment (QFD) has turned out to be a key methodology to design products by getting the voice of the customer in the first place, as well as converting the customer’s voice into product engineering characteristics. In addition, Kano model emphasizes the degree to which a customer is satisfied when a particular customer need is met. In this study, an approach integrating the Kano model into the planning matrix of QFD using Fuzzy logic, was proposed. The importance weights of customer requirements of a baby diaper were calculated using both the proposed Adjusted Kano-Fuzzy-QFD (AKFQFD) and traditional Kano-QFD model. It was demonstrated that the AKFQFD could effectively prioritize the importance weights of customer requirements.
Haroglu, D., Leblebici, İ. (2021). An Approach Integrating Kano Model And Fuzzy Logic Into The Planning Matrix Of Quality Function Deployment: An Application For The Design of a Baby Diaper. Academic Platform Journal of Engineering and Smart Systems, Volume: 9 Issue: 3. https://doi.org/10.21541/apjes.896648
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