Alan Ogor
Papers
1
Total Citations
2
H-Index
1
About
Alan Ogor is a researcher focused on the intersection of human factors and industrial automation, with key contributions to production systems optimization and human-machine collaboration. His most-cited work, "Production Systems Performance Optimization through Human/Machine Collaboration" (2022), examines how enterprises can leverage centralized information systems and advanced machinery to enhance operational efficiency and competitive advantage. By analyzing the dynamics of integrating human expertise with automated processes, Ogor provides actionable insights for improving production workflows in modern manufacturing environments. With 2 citations, this paper is a foundational reference for scholars and practitioners exploring the socio-technical aspects of Industry 4.0. Ogor’s research addresses the critical challenge of balancing technological implementation with workforce adaptability, offering frameworks that help organizations streamline decision-making and resource allocation. His work is particularly valuable for students and researchers studying lean manufacturing, cyber-physical systems, and the evolving role of human operators in increasingly automated settings. Through his focus on practical optimization strategies, Ogor contributes to the broader discourse on sustainable industrial growth and the future of work in smart factories.
Research Focus
Key Achievements
Top Papers
- 1