U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by:

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 26 - 50 of 88

Prognostics and Health Management to Improve Resilient Manufacturing

October 23, 2020
Author(s)
Michael P. Brundage, Brian A. Weiss
Manufacturers need to be resilient to effectively mitigate substantial disruptions to manufacturing operations so they may remain competitive. Disruptions resulting from the COVID-19 global pandemic have caused manufacturers to experience new challenges

MSEC: A QUANTITATIVE RETROSPECTIVE

June 25, 2020
Author(s)
Rachael Sexton, Michael Brundage, Alden A. Dima, Michael Sharp
The Manufacturing Science and Engineering Conference (MSEC) in 2020 is the 15th annual conference put on by the Manufacturing Engineering Division (MED) of ASME. MED and ASME MSEC focuses on manufacturing sciences, technology, and applications, including

Using Text Visualization to aid Analysis of Machine Maintenance Logs

April 30, 2020
Author(s)
Michael P. Brundage, Senthil K. Chandrasegaran, Xiaoyu Zhang, Kwan-Liu Ma
Maintenance and error logs for machines in manufacturing organizations are typically written as informal notes by operators or technicians working on the machines. These logs are written using a combination of common language and internally-used

Nestor: A Tool for Natural Language Annotation of Short Texts

November 1, 2019
Author(s)
Michael Brundage, Rachael Sexton
Nestor is a software tool that annotates natural language CSV (comma-separated variable) files, with a UTF-8 encoding, using a process called tagging [1]. The outputted annotated datasets (as either a CSV or .h5 file) can be used for different analysis

Agreement Behavior of Isolated Annotators for Maintenance Work-Order Data Mining

September 27, 2019
Author(s)
Emily Hastings, Thurston Sexton, Michael Brundage, Melinda Hodkiewicz
Maintenance work orders (MWOs) are an integral part of the maintenance workflow. These documents allow technicians to capture vital aspects of a maintenance job: observed symptoms, potential causes, solutions implemented, etc. These MWOs have often been

Categorization Errors for Data Entry in Maintenance Work-Orders

September 24, 2019
Author(s)
Thurston B. Sexton, Melinda Hodkiewicz, Michael P. Brundage
In manufacturing, there is a significant push toward the digitization of processes and decision making, by increasing the level of automation and networking via cyber-physical systems, and machine learning methods that can parse useful patterns from these

Integrated Operations Management for Distributed Manufacturing

August 28, 2019
Author(s)
Timothy A. Sprock, Michael E. Sharp, William Z. Bernstein, Michael P. Brundage, Moneer M. Helu, Thomas D. Hedberg Jr.
In traditional manufacturing operations management systems, the four pillars of ISA-95 (production, quality, maintenance, inventory) are each implemented as separate software systems. Each system independently manages its own data, operational decision

Where do we start? Guidance for technology implementation in maintenance management for manufacturing

July 23, 2019
Author(s)
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Katherine C. Morris, Jorge Arinez, Farhad Ameri, Jun Ni, Guoxian Xiao
Recent efforts in Smart Manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications and computational platforms, along with statistical methods to collect and analyze real-time performance data

WHERE DO WE START? GUIDANCE FOR TECHNOLOGY IMPLEMENTATION IN MAINTENANCE MANAGEMENT FOR MANUFACTURING

July 23, 2019
Author(s)
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Katherine C. Morris, Jorge Arinez, Farhad Ameri, Jun Ni, Guoxian Xiao
Recent efforts in Smart Manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications and computational platforms, along with statistical methods to collect and analyze real-time performance data