Michael Brundage

According to our database, Michael Brundage authored at least 19 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search.

Michael Hoffman, Eunhye Song, Michael P. Brundage, Soundar Kumara

IEEE Trans Autom. Sci. Eng., 2022

Discovering critical KPI factors from natural language in maintenance work orders.

Madhusudanan Navinchandran, Michael Sharp, Michael P. Brundage, Thurston Sexton

J. Intell. Manuf., 2022

Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning.

Michael Hoffman, Eunhye Song, Michael Brundage, Soundar Kumara

J. Comput. Inf. Sci. Eng., 2022

2021

A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data.

Xiaoyu Zhang, Takanori Fujiwara, Senthil K. Chandrasegaran, Michael P. Brundage, Thurston Sexton, Alden Dima, Kwan-Liu Ma

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2018

Event-Based Supervisory Control for Energy Efficient Manufacturing Systems.

Yang Li, Qing Chang, Jun Ni, Michael P. Brundage

IEEE Trans Autom. Sci. Eng., 2018

2017

An event-based analysis of condition-based maintenance decision-making in multistage production systems.

Yang Li, Qirong Tang, Qing Chang, Michael P. Brundage

Int. J. Prod. Res., 2017

Toward Semi-autonomous Information - Extraction for Unstructured Maintenance Data in Root Cause Analysis.

Michael Sharp, Thurston Sexton, Michael P. Brundage

Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

Improvement Strategies for Manufacturers Using the MESA MOM Capability Maturity Model.

Quanri Li, Michael Brundage, Boonserm (Serm) Kulvatunyou, Dennis Brandl, Sang Do Noh

Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

A Review of Current Machine Learning Techniques Used in Manufacturing Diagnosis.

Toyosi Toriola Ademujimi, Michael P. Brundage, Vittaldas V. Prabhu

Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments.

Anna De Carolis, Marco Macchi, Boonserm Kulvatunyou, Michael P. Brundage, Sergio Terzi

Proceedings of the Product Lifecycle Management and the Industry of the Future, 2017

Hybrid datafication of maintenance logs from AI-assisted human tags.

Thurston Sexton, Michael P. Brundage, Michael Hoffman, K. C. Morris

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Implementing a Real-Time, Energy-Efficient Control Methodology to Maximize Manufacturing Profits.

Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao

IEEE Trans. Syst. Man Cybern. Syst., 2016

Sustainable Manufacturing Performance Indicators for a Serial Production Line.

Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao

IEEE Trans Autom. Sci. Eng., 2016

An Overview of a Smart Manufacturing System Readiness Assessment.

Kiwook Jung, Boonserm Kulvatunyou, Sang Su Choi, Michael P. Brundage

Proceedings of the Advances in Production Management Systems. Initiatives for a Sustainable World, 2016

2015

Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control.

Yang Li, Qing Chang, Michael P. Brundage, Stephan Biller, Jorge Arinez, Guoxian Xiao

IEEE Trans. Syst. Man Cybern. Syst., 2015

Evaluating and reducing production impact on HVAC cooling load.

Michael P. Brundage, Qing Chang, Jorge Arinez, Jon Longtin, Tao He

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

Energy Efficiency Management of an Integrated Serial Production Line and HVAC System.

Michael P. Brundage, Qing Chang, Yang Li, Guoxian Xiao, Jorge Arinez

IEEE Trans Autom. Sci. Eng., 2014

Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line.

Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013

Energy Savings Opportunities and Energy Efficiency Performance Indicators for a Serial Production Line.

Michael Brundage, Qing Chang, Shiyao Wang, Shaw C. Feng, Guoxian Xiao, Jorge Arinez

Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013