M. Mostafizur Rahman
Papers
1
Total Citations
9
H-Index
1
About
Dr. M. Mostafizur Rahman is a researcher focused on advancing intelligent manufacturing systems, with key contributions in reference architectures for agile production and predictive maintenance. His most cited work, "Validation of PERFoRM reference architecture demonstrating an application of data mining for predicting machine failure" (2018, 9 citations), is central to the PERFoRM project, which develops a reference architecture enabling plug-and-produce integration of devices, robots, and machines in flexible manufacturing environments. Rahman’s major contribution lies in demonstrating how data mining techniques can be applied within this architecture to predict machine failure, thereby improving operational reliability and reducing downtime. This work directly addresses the need for adaptable, data-driven control systems in mechanical manufacturing, particularly for housing parts in industrial compressors. By validating the PERFoRM architecture in a real-world context, Rahman has helped bridge the gap between theoretical frameworks and practical implementation, enhancing the flexibility and efficiency of production lines. His research is significant for students and engineers exploring Industry 4.0, cyber-physical systems, and predictive analytics in smart factories, offering a concrete example of how reference architectures can support agile, resilient manufacturing.
Research Focus
Key Achievements
Top Papers
- 1