Dominik Remling

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About

Dominik Remling is a researcher focused on advancing decision-making frameworks for industrial automation, particularly in manufacturing and assembly systems. His work centers on evaluating and comparing automation concepts—such as full automation, human-robot collaboration (HRC), and manual assembly—through multi-criteria decision analysis (MCDA). Remling’s key contribution lies in developing systematic methods that go beyond traditional cost and quantity metrics, incorporating factors like flexibility, ergonomics, and operational efficiency to guide optimal automation choices. His most-cited paper, "Quantification and Evaluation of Automation Concepts based on a Multi-Criteria Decision Analysis" (2019, 4 citations), provides a foundational framework for this approach, enabling engineers and managers to make data-driven decisions in complex production environments. While his citation count is modest, his work addresses a critical gap in production engineering, offering practical tools for balancing automation benefits with human factors. Remling’s research is particularly relevant for industries transitioning to Industry 4.0, where selecting the right level of automation is pivotal for productivity and worker well-being. His contributions underscore the importance of holistic evaluation in modern manufacturing systems.