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Michael P Brundage
Michael P Brundage
Associate Research Engineer, Applied Research Laboratory for Intelligence and Security
Verified email at arlis.umd.edu
Title
Cited by
Cited by
Year
An overview of a smart manufacturing system readiness assessment
K Jung, B Kulvatunyou, S Choi, MP Brundage
Advances in Production Management Systems. Initiatives for a Sustainable …, 2016
1852016
Analyzing environmental sustainability methods for use earlier in the product lifecycle
MP Brundage, WZ Bernstein, S Hoffenson, Q Chang, H Nishi, T Kliks, ...
Journal of Cleaner Production 187, 877-892, 2018
1262018
Technical language processing: Unlocking maintenance knowledge
MP Brundage, T Sexton, M Hodkiewicz, A Dima, S Lukens
Manufacturing Letters 27, 42-46, 2021
1142021
A review of current machine learning techniques used in manufacturing diagnosis
TT Ademujimi, MP Brundage, VV Prabhu
Advances in Production Management Systems. The Path to Intelligent …, 2017
1132017
Maturity models and tools for enabling smart manufacturing systems: comparison and reflections for future developments
A De Carolis, M Macchi, B Kulvatunyou, MP Brundage, S Terzi
Product Lifecycle Management and the Industry of the Future: 14th IFIP WG 5 …, 2017
1082017
Procedure for selecting key performance indicators for sustainable manufacturing
D Kibira, MP Brundage, S Feng, KC Morris
Journal of Manufacturing Science and Engineering 140 (1), 011005, 2018
1052018
Hybrid datafication of maintenance logs from AI-assisted human tags
T Sexton, MP Brundage, M Hoffman, KC Morris
2017 ieee international conference on big data (big data), 1769-1777, 2017
842017
Energy efficiency management of an integrated serial production line and HVAC system
MP Brundage, Q Chang, Y Li, G Xiao, J Arinez
IEEE Transactions on Automation Science and Engineering 11 (3), 789-797, 2014
802014
Adapting natural language processing for technical text
A Dima, S Lukens, M Hodkiewicz, T Sexton, MP Brundage
Applied AI Letters 2 (3), e33, 2021
662021
Using graph-based visualizations to explore key performance indicator relationships for manufacturing production systems
MP Brundage, WZ Bernstein, KC Morris, JA Horst
Procedia Cirp 61, 451-456, 2017
572017
Benchmarking for keyword extraction methodologies in maintenance work orders
T Sexton, M Hodkiewicz, MP Brundage, T Smoker
Proceedings of the Annual Conference of the PHM Society 10 (1), 2018
562018
Where do we start? Guidance for technology implementation in maintenance management for manufacturing
MP Brundage, T Sexton, M Hodkiewicz, KC Morris, J Arinez, F Ameri, J Ni, ...
International Manufacturing Science and Engineering Conference 58745 …, 2019
482019
Sustainable manufacturing performance indicators for a serial production line
MP Brundage, Q Chang, Y Li, J Arinez, G Xiao
IEEE Transactions on Automation Science and Engineering 13 (2), 676-687, 2014
472014
Smart manufacturing through a framework for a knowledge-based diagnosis system
MP Brundage, B Kulvatunyou, T Ademujimi, B Rakshith
International Manufacturing Science and Engineering Conference 50749 …, 2017
402017
Market demand oriented data-driven modeling for dynamic manufacturing system control
Y Li, Q Chang, MP Brundage, S Biller, J Arinez, G Xiao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (1), 109-121, 2014
402014
Event-based supervisory control for energy efficient manufacturing systems
Y Li, Q Chang, J Ni, MP Brundage
IEEE Transactions on Automation Science and Engineering 15 (1), 92-103, 2016
392016
Implementing a real-time, energy-efficient control methodology to maximize manufacturing profits
MP Brundage, Q Chang, Y Li, J Arinez, G Xiao
IEEE transactions on systems, man, and cybernetics: systems 46 (6), 855-866, 2015
392015
Developing maintenance key performance indicators from maintenance work order data
MP Brundage, KC Morris, T Sexton, S Moccozet, M Hoffman
International manufacturing science and engineering conference 51371 …, 2018
372018
Discovering critical KPI factors from natural language in maintenance work orders
M Navinchandran, ME Sharp, MP Brundage, TB Sexton
Journal of Intelligent Manufacturing, 1-19, 2022
342022
Energy economics in the manufacturing industry: A return on investment strategy
MP Brundage, Q Chang, J Zou, Y Li, J Arinez, G Xiao
Energy 93, 1426-1435, 2015
302015
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