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Scenario-based functional modularization framework for consumer electronics using MFD and AHP: A case study on audio
1School of Art and Design, Beijing Forestry University, Beijing, China.
This study introduces a scenario-based functional modularization framework to address consumer electronics (CE) personalization and sustainability. It reduces electronic waste (e-waste) by designing adaptable products for diverse user needs and scenarios.
Area of Science:
- Engineering
- Product Design
- Sustainability Science
Background:
- Consumer electronics face pressure for personalization and sustainability, but traditional designs lead to underutilization and electronic waste (e-waste).
- Existing modularization methods prioritize production efficiency over multi-scenario adaptability and e-waste reduction.
- A systematic approach is needed to partition product functions based on distinct usage scenarios.
Purpose of the Study:
- To propose a novel scenario-based functional modularization framework for consumer electronics.
- To enhance product adaptability, personalization, and sustainability.
- To reduce functional redundancy and electronic waste (e-waste).
Main Methods:
- Integration of Modular Function Deployment (MFD) and Analytic Hierarchy Process (AHP) to quantify scenario-specific requirements.
- Development of a Modular Scenario Relevance Matrix (MSRM) for precise mapping of technical solutions to scenarios.
- Application of the framework to audio products for validation.
Main Results:
- Successful identification of a common module and scenario-specific functional modules (e.g., home entertainment, smart home, outdoor) for audio products.
- Demonstration of the framework's feasibility in designing adaptable consumer electronics.
- Quantification of scenario-specific requirements and mapping to technical solutions.
Conclusions:
- The proposed scenario-based functional modularization framework offers a systematic method for developing flexible and adaptable consumer electronics.
- Scenario-driven modularity enhances product sustainability by minimizing functional redundancy and e-waste.
- The approach effectively addresses diverse consumer demands for personalized and multi-scenario product usage.
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