Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design

Area of Science:

• Environmental Science
• Engineering
• Business Management

Background:

• Reducing greenhouse gas emissions is crucial for sustainable development.
• Customer collaborative product innovation (CCPI) is a growing trend in product design.
• Integrating CCPI into low-carbon product design requires understanding customer needs.

Purpose of the Study:

• To develop and test a novel method for identifying key customer requirements in low-carbon product design using CCPI.
• To address consumer heterogeneity and uncertainty in evaluating low-carbon preferences.
• To enhance the effectiveness of low-carbon product development through customer insights.

Main Methods:

• Utilized fuzzy grey relational analysis to process uncertain customer evaluations.
• Employed a genetic algorithm to develop a nonlinear optimization model for information aggregation and customer weighting.
• Incorporated consumer heterogeneity by allowing diverse evaluation formats reflecting uncertainty.

Main Results:

• Successfully identified key low-carbon requirements from customer collaboration.
• The proposed method effectively aggregated information from heterogeneous customer groups.
• Demonstrated the method's validity through a case study on low-carbon liquid crystal displays.

Conclusions:

• The novel method provides an effective framework for customer-driven low-carbon product design.
• Understanding and integrating diverse customer needs is vital for successful low-carbon innovation.
• This approach can guide businesses in developing more sustainable and customer-aligned products.