Guest: Mukund Subramaniyan, PhD student, Chalmers University of
Technology
“The data speaks about the behavior of the production
system”
Instead of defining big data in terms of “what” and “how”,
Mukund Subramaniyan invites us to asks: “why” big data? In this
episode, Mukund Subramaniyan shares his adventure and precious
knowledge as cross-disciplinary PhD student, bridging the gap
between computer science and production engineering. His motto? Big
data for big decisions.
Mukund sees the potential of data in the production system, and
uses his mathematical skills, combined with his knowledge about
production systems’ operations, to find the most efficient and
effective way to transform data into knowledge. His mission is to
help managers and engineers in the production and maintenance
departments to make more accurate decisions with higher degree of
confidence.
Mukund’s position in terms of balance between automation and
human’s contribution is that algorithms should be giving an
augmented intelligence to humans as opposed to be the
representatives of an artificial intelligence that does all the
job, simply put. Mukund argues that 60-70 % of the work can be done
by algorithms, and the remaining part of the work is up to the
humans, who judge the results according to their experience, and
make the final decision.
Podcast Episode 7
Check out Mukund’s publications:
- Subramaniyan, M., Skoogh, A., Salomonsson, H., Bangalore, P.,
Gopalakrishnan, M., & Sheikh Muhammad, A. (2018). Data-driven
algorithm for throughput bottleneck analysis of production systems.
Production & Manufacturing Research, 6(1), 225-246. https://doi.org/10.1080/21693277.2018.1496491
- Subramaniyan, M., Skoogh, A., Gopalakrishnan, M., Salomonsson,
H., Hanna, A., & Lämkull, D. (2016). An algorithm for
data-driven shifting bottleneck detection. Cogent Engineering,
3(1), 1239516. DOI: 10.1080/23311916.2016.1239516