Mukund Subramaniyan

Doctoral Student at Chalmers, Industrial and Materials Science, 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 a holistic approach towards the analysis and decision making.

Source: chalmers.se

Showing 10 publications

2019

Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Vol. 2019-September, p. 993-1000
Paper in proceedings
2019

Stream-IT: Continuous and dynamic processing of production systems data - Throughput bottlenecks as a case-study

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Symposium on Industrial Electronics. Vol. 2019-June, p. 1328-1333
Paper in proceedings
2019

A prognostic algorithm to prescribe improvement measures on throughput bottlenecks

Mukund Subramaniyan, Anders Skoogh, Muhammad Azam Sheikh et al
Journal of Manufacturing Systems. Vol. 53, p. 271-281
Journal article
2019

Data Analytics in Maintenance Planning – DAIMP

Maheshwaran Gopalakrishnan, Mukund Subramaniyan, Antti Salonen et al
Other
2018

Applications of Big Data analytics and Related Technologies in Maintenance - Literature-Based Research

Jens Baum, Christoph Laroque, Benjamin Oeser et al
Machines. Vol. 6 (54), p. 1-12
Journal article
2018

A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines

Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson et al
Computers and Industrial Engineering. Vol. 125, p. 533-544
Journal article
2018

Data-driven algorithm for throughput bottleneck analysis of production systems

Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson et al
Production and Manufacturing Research. Vol. 6 (1), p. 225-246
Journal article
2016

An algorithm for data-driven shifting bottleneck detection

Mukund Subramaniyan, Anders Skoogh, Maheshwaran Gopalakrishnan et al
Cogent Engineering. Vol. 3 (1), p. 1-19
Journal article
2016

Real-Time data-driven average active period method for bottleneck detection

Mukund Subramaniyan, Anders Skoogh, Maheshwaran Gopalakrishnan et al
International Journal of Design and Nature and Ecodynamics. Vol. 11 (3), p. 428-437
Journal article
2016

Analysis of Critical Factors for Automatic Measurement of OEE

Richard Hedman, Mukund Subramaniyan, Peter Almström
Procedia CIRP. Vol. 57, p. 128-133
Paper in proceedings

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Showing 2 research projects

2018–2019

5G-Enabled Manufacturing II (5GEMII)

Johan Stahre Production Systems
Åsa Fasth Berglund Production Systems
Maja Bärring Production Systems
Magnus Åkerman Production Systems
Anders Skoogh Production Systems
Mukund Subramaniyan Production Systems
Björn Johansson Production Systems
Clarissa Alejandra Gonzalez Chavez Production Systems
VINNOVA

2016–2019

DAIMP - Data Analytics in Maintenance Planning

Anders Skoogh Production Systems
Omkar Salunkhe Production Systems
Maheshwaran Gopalakrishnan Production Systems
Mukund Subramaniyan Production Systems
Torbjörn Ylipää Production Systems
VINNOVA

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