Follow
Mukund Subramaniyan
Mukund Subramaniyan
Managing Consultant, Capgemini ; PhD in Production Engineering, Chalmers University of
Verified email at chalmers.se - Homepage
Title
Cited by
Cited by
Year
Analysis of critical factors for automatic measurement of OEE
R Hedman, M Subramaniyan, P Almström
Procedia Cirp 57, 128-133, 2016
1352016
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, J Bokrantz
Computers & Industrial Engineering 125, 533-544, 2018
1112018
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Journal of Manufacturing Systems 55, 143-158, 2020
612020
An algorithm for data-driven shifting bottleneck detection
M Subramaniyan, A Skoogh, M Gopalakrishnan, H Salomonsson, ...
Cogent Engineering 3 (1), 1239516, 2016
492016
Data-driven algorithm for throughput bottleneck analysis of production systems
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, ...
Production & Manufacturing Research 6 (1), 225-246, 2018
402018
Applications of big data analytics and related technologies in maintenance—literature-based research
J Baum, C Laroque, B Oeser, A Skoogh, M Subramaniyan
Machines 6 (4), 54, 2018
382018
Data-driven machine criticality assessment–maintenance decision support for increased productivity
M Gopalakrishnan, M Subramaniyan, A Skoogh
Production Planning & Control 33 (1), 1-19, 2022
362022
Artificial intelligence for throughput bottleneck analysis–State-of-the-art and future directions
M Subramaniyan, A Skoogh, J Bokrantz, MA Sheikh, M Thürer, Q Chang
Journal of Manufacturing Systems 60, 734-751, 2021
352021
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Computers & Industrial Engineering 150, 106851, 2020
332020
Real-time data-driven average active period method for bottleneck detection
M Subramaniyan, A Skoogh, M Gopalakrishnan, A Hanna
International Journal of Design & Nature and Ecodynamics 11 (3), 428-437, 2016
232016
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, ET Bekar
Journal of Manufacturing Systems 53, 271-281, 2019
222019
An enhanced data-driven algorithm for shifting bottleneck detection
C Roser, M Subramaniyan, A Skoogh, B Johansson
Advances in Production Management Systems. Artificial Intelligence for …, 2021
72021
Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM
J Bokrantz, M Subramaniyan, A Skoogh
Production Planning & Control, 1-21, 2023
42023
Adaptive stream-based shifting bottleneck detection in iot-based computing architectures
H Najdataei, M Subramaniyan, V Gulisano, A Skoogh, M Papatriantafilou
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
32019
Stream-IT: Continuous and dynamic processing of production systems data-throughput bottlenecks as a case-study
H Najdataei, M Subramaniyan, V Gulisano, A Skoogh, M Papatriantafilou
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019
12019
Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes
A Skoogh, M Thürer, M Subramaniyan, A Matta, C Roser
Production & Manufacturing Research 11 (1), 2283031, 2023
2023
Introduction to innovation analytics
M Subramaniyan, N Subramanian, S Ponnambalam, M Janardhanan
2023
The system can't perform the operation now. Try again later.
Articles 1–17