Dataanalys inom underhållsplanering
Projektet syftar till att öka produktivitet, robusthet och resurseffektivitet I produktionssystem genom datadriven underhållsplanering.
2016 – 2019
Ph.D. Student
E-post: mukunds@chalmers.se
Tel: +46728500693
Lärosäte/Institut: Chalmers tekniska högskola
Throughput bottleneck analysis in production systems
Mukund Subramaniyan is a Ph.D. student at the division of Production Systems. He has a background in production engineering and his research focus is on the application of data analytics in production flow development and maintenance scheduling. In his research, he puts emphasis on an interdisciplinary approach in combining data science and manufacturing domains and the need for a holistic approach towards the analysis and decision making.
Personal Website: https://www.smukund.com
Mukund Subramaniyan focuses on developing real-time data-driven algorithms for production and maintenance improvement activities. His research emphasis on an interdisciplinary approach in combining manufacturing domain and data science data domain in developing real-time algorithms, thus creating value for manufacturing industries.