Matthias Wolfgang Hofmair
Papers
1
Total Citations
5
H-Index
1
About
Matthias Wolfgang Hofmair is a researcher focused on the intersection of industrial automation and resource optimization, with a particular emphasis on agent-controlled manufacturing systems. His most notable contribution, "Patching process optimization in an agent-controlled timber mill" (2014), addresses the challenge of improving efficiency in wood processing through intelligent, decentralized decision-making. By modeling the patching process—where defects in timber are identified and repaired—Hofmair demonstrates how multi-agent systems can reduce waste and enhance throughput in real-world industrial settings. Though his citation count (5) is modest, this work represents a targeted, practical application of agent-based control in a niche but economically significant domain. His research bridges theoretical computer science and traditional manufacturing, offering a blueprint for smarter, more adaptive production lines. Hofmair’s approach is particularly relevant for students and researchers interested in Industry 4.0, cyber-physical systems, and sustainable manufacturing, as it shows how even small-scale optimizations can yield meaningful operational gains. His work underscores the value of domain-specific problem-solving in advancing automation.
Research Focus
Key Achievements
Top Papers
- 1Patching process optimization in an agent-controlled timber mill5 citations · 2014