Marius Michel
Papers
1
Total Citations
51
H-Index
1
About
Marius Michel is a rising authority in the field of sustainable production and operations management, with a core focus on remanufacturing, disassembly systems, and intelligent production control. His most-cited work, “Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning” (2022, 51 citations), addresses a critical gap in operations management: the complex, stochastic nature of disassembly planning. Michel’s major contribution lies in pioneering the application of reinforcement learning to dynamically control hybrid disassembly lines—systems that integrate both manual and autonomous workstations. By modelling condition-based decision-making, his research offers a practical pathway to improve efficiency and adaptability in remanufacturing, directly supporting the circular economy’s goals of reducing waste and emissions. This work has quickly gained traction among scholars and practitioners seeking data-driven solutions for end-of-life product recovery. Michel’s achievements mark him as an innovative thinker at the intersection of artificial intelligence and sustainable manufacturing, providing foundational insights for future research in smart remanufacturing and flexible production control.
Research Focus
Key Achievements
Top Papers
- 1