AI support and digital human models for Time Data Management

Purpose and goals

The project aims to strengthen competitiveness and flexibility in the industry through more precise time bases, better management of time data and maintaining good ergonomics during complex manual assembly and material handling. The project wants to take advantage of AI and digital human models (DHM) to streamline preparation work and improve planning and workplace design in early development phases.

Planned structure and implementation

The project builds on previous knowledge of Time Data Management and is implemented in four work packages: AI interpretation of assembly methods, AI interpretation of movements from video, DHM-based movements with elementary times and optimization, and development of user-friendly, efficient and ethically sustainable AI applications. Using a design science approach, researchers and participating industrial and software companies collaborate to design and test new AI-based models, methods and working methods. Demonstrators will be used to demonstrate the effects of the techniques both individually and in combination.

Expected effects and results

The project is expected to provide new AI-supported tools and methods that increase the precision of time data, streamline preparation processes and enable optimized workplace design. Participating companies and established networks create good conditions for the results to be implemented and disseminated widely within the industry. The results will support both manual assembly processes and circular product flows that include disassembly and reassembly.