Quality Function Deployment Methodologies in Product Design

Quality Function Deployment (QFD) is a structured approach that translates customer requirements into measurable technical specifications. Central to QFD is the House of Quality, a matrix that maps the Voice of the Customer to engineering characteristics, enabling multidisciplinary teams to prioritise design features. The methodology proceeds through successive planning matrices that refine technical requirements, assess interdependencies and evaluate trade-offs. Over the past decade, QFD has evolved beyond its initial automotive and manufacturing roots to address service design, sustainability and smart product development. Extensions incorporate fuzzy logic to manage uncertainty, multi-criteria decision methods to weigh competing attributes and network-based models to reflect interrelated criteria. These advancements have enhanced QFD’s capacity to integrate qualitative insights with quantitative analysis, facilitating agile responses to shifting market expectations. In practice, QFD applications span sectors as diverse as consumer electronics, healthcare infrastructure, apparel retail and open-plan office furniture. Recent trends emphasise the integration of optimisation algorithms, digital tools for real-time customer feedback and environmental considerations, underscoring QFD’s global significance for developing products that resonate with user values while meeting technical and sustainability objectives.

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Quality Function Deployment Methodologies in Product Design publication trend

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Technical terms

Quality Function Deployment (QFD): A customer-driven planning methodology that maps user requirements to technical characteristics across a series of matrices.

House of Quality: The primary QFD matrix that correlates customer needs (Voice of the Customer) with engineering attributes and shows interrelations among technical parameters.

Voice of the Customer: Collected insights into user expectations and preferences, serving as the starting point for defining design requirements.

Fuzzy logic: A mathematical framework for representing and processing uncertain or imprecise information, often used to handle vagueness in customer evaluations.

Linear Programming: An optimisation technique for determining the best outcome in a mathematical model whose requirements are represented by linear relationships.

Kano model: A customer satisfaction classification tool that categorises product attributes into must-be, one-dimensional and delightful features based on their impact on user satisfaction.

Analytic Hierarchy Process (AHP): A structured multi-criteria decision-making method that derives priority scales through pairwise comparisons of criteria and alternatives.

References

1. Enhancing collaborative apparel consumption model: Quality-driven insights from customers and industry professionals. Journal of Open Innovation: Technology, Market, and Complexity (2023).
2. A linear programming-based QFD methodology under fuzzy environment to develop sustainable policies in apparel retailing industry. Journal of Cleaner Production (2023).
3. Applying a Hybrid Kano/Quality Function Deployment Integration Approach to Wood Desk Designs for Open-Plan Offices. Forests (2022).