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Displaying 1 - 25 of 38

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

Design, Manufacturing, and Inspection Data for a Three-Component Assembly

February 12, 2019
Author(s)
Thomas D. Hedberg, Michael E. Sharp, Toby M. Maw, Mostafizur M. Rahman, Swati Jadhav, James J. Whicker, Allison Barnard Feeney, Moneer M. Helu
To better understand and address the challenges faced in linking all stages of a manufacturing and design process, an investigative fabrication process was designed and enacted as part of a collaboration between the National Institute of Standards and

A Standards and Technology Roadmap for Scalable Distributed Manufacturing Systems

June 19, 2018
Author(s)
Thomas D. Hedberg Jr., Moneer Helu, Timothy A. Sprock
The increasing decentralization of manufacturing has contributed to the growing interest in scalable distributed manufacturing systems (DMSs). The emerging body of work from smart manufacturing, Industrie 4.0, Industrial Internet of Things (IIoT), and

Contextualizing Manufacturing Data for Lifecycle Decision Making

March 12, 2018
Author(s)
William Z. Bernstein, Thomas D. Hedberg, Moneer M. Helu, Allison Barnard Feeney
Product Lifecycle Management (PLM) systems manage the flow of data about the product and the processes that are used throughout the product's lifecycle so that the right information is delivered at the right time to the right systems. Manufacturing in the

Design and Configuration of the Smart Manufacturing Systems Test Bed

December 18, 2017
Author(s)
Thomas D. Hedberg, Moneer M. Helu
The purpose of this document is to describe the design and configuration of the NIST Smart Manufacturing Systems Test Bed. Prospective developers, technical-assessment personnel, researchers, and interested end-users are the intended audience of this

Software Requirements Specification to Distribute Manufacturing Data

December 18, 2017
Author(s)
Thomas D. Hedberg, Moneer M. Helu, Marcus W. Newrock
The purpose of this document is to describe the requirements specifications for applications and a data repository to distribute manufacturing data. Prospective developers, technical-assessment personnel, and interested end-users are the intended audience

Even Small Factories Can Get Smarter

October 1, 2017
Author(s)
Thomas D. Hedberg, Moneer M. Helu
Smart manufacturing uses data to deliver value the way automation, mechanical machinery, and labor did in the past. Yet engineers often worry that transitioning to smarter factories involves navigating a deluge of unfamiliar and possibly expensive

A Classification Scheme for Smart Manufacturing Systems Performance Metrics

February 28, 2017
Author(s)
Yung-Tsun T. Lee, Senthilkumaran Kumaraguru, Sanjay jain, Qais Hatim, Stefanie Robinson, Moneer M. Helu, Sudarsan Rachuri, Soundar Kumara, Christopher Saldana, David Dornfeld
This paper proposes a classification framework for performance metrics for smart manufacturing systems. The discussion focuses on agility, asset utilization, and sustainability, and we discuss classification themes for each of these areas that lead to the

Towards a generalized energy prediction model for machine tools

November 9, 2016
Author(s)
Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri
Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the

Enabling Smart Manufacturing Technologies for Decision-Making Support

August 21, 2016
Author(s)
Moneer M. Helu, Don E. Libes, Joshua Lubell, Kevin W. Lyons, Katherine C. Morris
Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and
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