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Displaying 51 - 75 of 104

Proceedings of the 11th Model-Based Enterprise Summit (MBE 2020)

April 30, 2020
Author(s)
Thomas D. Hedberg Jr., Mark G. Carlisle
The National Institute of Standards and Technology (NIST) hosted the eleventh installment of the Model-Based Enterprise Summit (MBE 2020) on March 31 through April 2, 2020 in Gaithersburg, Maryland. The MBE 2020 witnessed another year-over-year

Industry Review of Distributed Production in Discrete Manufacturing

April 18, 2020
Author(s)
Moneer M. Helu, William Sobel, Saigopal Nelaturi, Russell Waddell, Scott Hibbard
Distributed production paradigms have grown in discrete manufacturing as discrete products are increasingly made by global, distributed networks. Current challenges faced by discrete manufacturing, such as increased globalization, market volatility

Formalizing ISA-95 Level 3 Control with Smart Manufacturing System Models

December 23, 2019
Author(s)
Leon F. McGinnis
Achieving the vision of "smart manufacturing and "Industrie 4.0" requires building on successes in computational control of processes to create generic approaches for management of manufacturing operations, or smart manufacturing operations management

CHALLENGES IN REPRESENTING MANUFACTURING PROCESSES FOR SYSTEMATIC SUSTAINABILITY ASSESSMENTS - WORKSHOP ON JUNE 21, 2018

November 27, 2019
Author(s)
Arvind Shankar Raman, Dustin Harper, Karl Haapala, Barbara S. Linke, William Z. Bernstein, KC Morris
A workshop on Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments, jointly sponsored by the U.S. National Science Foundation, the U.S. National Institute of Standards and Technology, ASTM International, the American

Platform-Independent Debugging of Physical Interaction and Signal Flow Models

September 16, 2019
Author(s)
Mehdi Dadfarnia, Raphael Barbau
Systems engineering tools are used to organize development activities of a wide variety ofen gineers, many of which develop their own discipline-specific simulation models. To increase the efficiency of this process, systems modeling tools have been

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

Towards Operational Use of Unit Manufacturing Process Models

July 25, 2019
Author(s)
Amogh Kulkarni, William Z. Bernstein, David Lechevalier, Daniel Balasubramanian, Gabor Karsai, Peter O. Denno
Unit Manufacturing Processes (UMP) are models that capture succinct definitions of individual manufacturing steps in a manufacturing system. They are used to facilitate model composition and reuse. However, mainly due to their textual nature, they are

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

Proceedings of the 10th Model-Based Enterprise Summit (MBE 2019)

July 2, 2019
Author(s)
Thomas D. Hedberg Jr., Mark G. Carlisle
The National Institute of Standards and Technology (NIST) hosted the tenth installment of the Model-Based Enterprise Summit (MBE 2019) on April 2-4, 2019 in Gaithersburg, Maryland. The MBE Summit grew 114 percent over the past five MBE Summits. This

Foundations of information governance for smart manufacturing

June 11, 2019
Author(s)
KC Morris, Yan Lu, Simon P. Frechette
The manufacturing systems of the future will be even more heavily dependent on the data than they are today. More and more data and information are being collected and communicated throughout product development lifecycles and across manufacturing value
Displaying 51 - 75 of 104