معرفی
Andreas Lind is a researcher at the University of Skövde, School of Engineering Science, with a focus on multi-objective factory layout optimization and digital support tools aligned with Industry 4.0–5.0 principles. His work bridges human well-being and system performance through advanced simulation and optimization techniques.
- Affiliations: University of Skövde, Scania CV AB
- Research Themes: Digital Twin, Ergonomics, Production Systems
Education: Completed a doctoral dissertation titled Planning and designing manufacturing factory layouts: Applying multi-objective optimization and digital support (2024). His PhD research systematized layout planning by integrating rules and regulations into digital tools, reducing subjectivity and errors.
Research Interests include:
- Multi-Objective Optimization
- Digital Human Modeling (DHM)
- Industry 4.0–5.0
- Virtual Environments for Layout Planning
- Worker Well-Being and Productivity
- Digital Twin Concept
Article Trends show a focus on applying nature-inspired algorithms (NSGA-II, PSO) and digital twin frameworks to optimize factory layouts for safety, walking distance, and ergonomic risk reduction. Publications emphasize cross-disciplinary integration and automation.
Funding: Supported by Scania CV AB and the Knowledge Foundation via projects like LITMUS (20240013) and Virtual Factories with Knowledge-Driven Optimization (2018-0011). Collaborations with institutions such as IOS Press and MDPI highlight his industry and academic partnerships.
Key Contributions: Development of decision support functions for space claims, integration of regulatory compliance into digital tools, and demonstrators for concurrent optimization of productivity and worker well-being.