A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
Journal article, 2020
Throughput bottlenecks
Machine learning
Maintenance
Manufacturing system
Production system
Data science
Author
Mukund Subramaniyan
Chalmers, Industrial and Materials Science, Production Systems
Anders Skoogh
Chalmers, Industrial and Materials Science, Production Systems
Muhammad Azam Sheikh
Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd
Jon Bokrantz
Chalmers, Industrial and Materials Science, Production Systems
Björn Johansson
Chalmers, Industrial and Materials Science, Production Systems
Christoph Roser
Karlsruhe University of Applied Sciences
Computers and Industrial Engineering
0360-8352 (ISSN)
Vol. 150 106851DAIMP - Data Analytics in Maintenance Planning
VINNOVA (2015-06887), 2016-03-01 -- 2019-02-28.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Reliability and Maintenance
Software Engineering
Driving Forces
Sustainable development
Areas of Advance
Production
DOI
10.1016/j.cie.2020.106851