Risk identification method for automotive styling design tasks based on an improved FAHP-VIKOR approach.

Area of Science:

• Automotive Engineering
• Design Management
• Risk Assessment

Background:

• Current automotive styling-design task management faces challenges in quantifying risks.
• Effective risk identification is crucial for project success and resource allocation.

Purpose of the Study:

• To propose a novel quantitative risk identification method for automotive styling design tasks.
• To enhance decision-making support for risk management in automotive design projects.

Main Methods:

• Constructed Work Breakdown Structure (WBS) and Risk Breakdown Structure (RBS) to form a WBS-RBS coupling matrix.
• Employed an improved Fuzzy Analytic Hierarchy Process (FAHP) to determine risk factor weights.
• Utilized the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for comprehensive risk ranking.

Main Results:

• The proposed method successfully classified 27 core design tasks into high, medium, and low risk categories.
• Identified critical high-risk areas, including front bumper surface, lidar surface, and rear bumper surface.
• Demonstrated more stable and reasonable risk identification compared to single FAHP, FAHP-TOPSIS, and FAHP-VIKOR methods.

Conclusions:

• The improved FAHP-VIKOR approach provides a robust framework for quantitative risk assessment in automotive styling design.
• Offers valuable decision-making support for optimizing resource allocation and managing risks in complex design projects.
• Highlights the importance of a structured approach to risk identification in the automotive design lifecycle.