Michael P. Brundage

17 papers B 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Demystifying the Accuracy-Interpretability Trade-Off: A Case Study of Inferring Ratings from Reviews.
CoRR
Pranjal Atrey, Michael P. Brundage, Min Wu, Sanghamitra Dutta
2022 J jnl
Discovering critical KPI factors from natural language in maintenance work orders.
J. Intell. Manuf.
Madhusudanan Navinchandran, Michael Sharp, Michael P. Brundage, Thurston Sexton
2022 J jnl
Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search.
IEEE Trans Autom. Sci. Eng.
Michael Hoffman, Eunhye Song, Michael P. Brundage, Soundar R. T. Kumara
2021 B conf
A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data.
PacificVis
Xiaoyu Zhang, Takanori Fujiwara, Senthil K. Chandrasegaran, Michael P. Brundage, Thurston Sexton, Alden Dima, Kwan-Liu Ma
2018 J jnl
Event-Based Supervisory Control for Energy Efficient Manufacturing Systems.
IEEE Trans Autom. Sci. Eng.
Yang Li, Qing Chang, Jun Ni, Michael P. Brundage
2017 — conf
A Review of Current Machine Learning Techniques Used in Manufacturing Diagnosis.
APMS (1)
Toyosi Toriola Ademujimi, Michael P. Brundage, Vittaldas V. Prabhu
2017 J jnl
An event-based analysis of condition-based maintenance decision-making in multistage production systems.
Int. J. Prod. Res.
Yang Li, Qirong Tang, Qing Chang, Michael P. Brundage
2017 — conf
Hybrid datafication of maintenance logs from AI-assisted human tags.
IEEE BigData
Thurston Sexton, Michael P. Brundage, Michael Hoffman, K. C. Morris
2017 — conf
Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments.
PLM
Anna De Carolis, Marco Macchi, Boonserm Kulvatunyou, Michael P. Brundage, Sergio Terzi
2017 — conf
Toward Semi-autonomous Information - Extraction for Unstructured Maintenance Data in Root Cause Analysis.
APMS (1)
Michael Sharp, Thurston Sexton, Michael P. Brundage
2016 — conf
An Overview of a Smart Manufacturing System Readiness Assessment.
APMS
Kiwook Jung, Boonserm Kulvatunyou, Sang Su Choi, Michael P. Brundage
2016 J jnl
Implementing a Real-Time, Energy-Efficient Control Methodology to Maximize Manufacturing Profits.
IEEE Trans. Syst. Man Cybern. Syst.
Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao
2016 J jnl
Sustainable Manufacturing Performance Indicators for a Serial Production Line.
IEEE Trans Autom. Sci. Eng.
Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao
2015 — conf
Evaluating and reducing production impact on HVAC cooling load.
CASE
Michael P. Brundage, Qing Chang, Jorge Arinez, Jon Longtin, Tao He
2015 J jnl
Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control.
IEEE Trans. Syst. Man Cybern. Syst.
Yang Li, Qing Chang, Michael P. Brundage, Stephan R. Biller, Jorge Arinez, Guoxian Xiao
2014 J jnl
Energy Efficiency Management of an Integrated Serial Production Line and HVAC System.
IEEE Trans Autom. Sci. Eng.
Michael P. Brundage, Qing Chang, Yang Li, Guoxian Xiao, Jorge Arinez
2014 — conf
Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line.
CASE
Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao