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Displaying 1 - 25 of 76

Defining requirements for integrating information between design, manufacturing, and inspection

May 11, 2021
Author(s)
Thomas D. Hedberg Jr., Michael Sharp, Toby M. Maw, Moneer Helu, Mostafizur M. Rahman, Swati Jadhav, James J. Whicker, Allison Barnard Feeney
Industry desires a digital thread of information that aligns as-designed, as-planned, as-executed, and as-inspected viewpoints. An experiment was conducted to test selected open data standards' ability to integrate the lifecycle stages of engineering

A Case Study for Modeling Machine Tool Systems Using Standard Representations

December 9, 2020
Author(s)
Maja V. Baerring, Guodong Shao, Moneer Helu, Bjorn Johansson
It is challenging to represent a complete machining tool system including geometric and kinematics information to support different decisions including purchasing, scheduling, and routing. A model of a fully assembled machining system in a neutral format

Connecting, Deploying, and Using the Smart Manufacturing Systems Test Bed

July 16, 2020
Author(s)
Moneer M. Helu, Thomas D. Hedberg Jr.
This report describes how different smart manufacturing standards and technologies, such as MTConnect, were integrated in the National Institute of Standards and Technology (NIST) Smart Manufacturing Systems (SMS) Test Bed to support the collection

Recommendations for Collecting, Curating, and Re-Using Manufacturing Data

July 16, 2020
Author(s)
Moneer M. Helu, Thomas D. Hedberg Jr.
This report provides general recommendations for collecting, curating, and re-using manufacturing data from both additive and subtractive processes. The intended audience includes researchers, technical-assessment personnel, and end-users who would like to

Production Method for Machine-Readable Manufacturing Data Standards

June 19, 2020
Author(s)
Tim Shinbara, Russell Waddell, Moneer Helu
Standards to represent and manage manufacturing data are proliferating as industry rapidly digitizes. The existing global standards development paradigm for manufacturing data needs to shift to digital tools and workflows that produce machine-readable

Big Data Analytics for Smart Factories of the Future

June 18, 2020
Author(s)
Robert Gao, Lihui Wang, Moneer Helu, Roberto Teti
Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these "big data," how to

Scalable Data Pipeline Architecture to Support the Industrial Internet of Things

May 17, 2020
Author(s)
Moneer M. Helu, Timothy A. Sprock, Daniel Hartenstine, Rishabh Venketesh, William Sobel
Managing manufacturing data remains challenging despite the growth of the Industrial Internet of Things (IIoT). While various standards and technologies enable greater access to data, scaling data processing and distribution can be difficult given the

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

FRAMEWORK FOR A DIGITAL TWIN IN MANUFACTURING

April 11, 2020
Author(s)
Guodong Shao, Moneer M. Helu
Digital twin has the potential to be an important technology for achieving smart manufacturing. However, there remains a lot of confusion about the concept and how it can be implemented in real manufacturing systems, especially among small-to-medium

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
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