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Manufacturing

Factory operations planning & control

Search Publications

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  • Published Date
Displaying 26 - 50 of 69

DIGITAL TWIN FOR SMART MANUFACTURING: THE SIMULATION ASPECT

December 11, 2019
Author(s)
Guodong Shao, Sanjay Jain, Christoph Laroque, Loo Hay Lee, Peter Lendermann, Oliver Rose
The purpose of this panel is to discuss the state of the art in digital twin for manufacturing research and practice from the perspective of the simulation community. The panelists come from the US, Europe, and Asia representing academia, industry, and

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

A SysML Representation of the Wireless Factory Work-cell

June 6, 2019
Author(s)
Richard Candell, Mohamed T. Hany, Yongkang Liu, Sebti Foufou
Smart Manufacturing, also known as Industry 4.0, provides a vision of future manufacturing systems that incorporate highly dynamic physical systems, robust and responsive communications systems, and computing paradigms to maximize efficiency, enable

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

Improving Rigid-Body Registration Based on Points Affected by Bias and Noise

December 31, 2018
Author(s)
Marek Franaszek, Geraldine S. Cheok
The task of registering two coordinate frames is frequently accomplished by measuring the same set of points in both frames. Noise and possible bias in the measured locations degrade the quality of registration. It was shown that the performance of

A New SCAP Information Model and Data Model for Content Authors

December 18, 2018
Author(s)
Joshua Lubell
The Security Content Automation Protocol (SCAP) data model for source data stream collections standardizes the packaging of security content into self-contained bundles for easy deployment. But no single data model can satisfy all requirements. The source

ENABLING CONTROL SYSTEM AND CLOUD-BASED SIMULATION SERVICE INTEROPERABILITY

December 12, 2018
Author(s)
Albert W. Jones, Guodong Shao, Frank H. Riddick
The latest innovations in Information and Communication Technologies (ICT) will change manufacturing and simulation forever. Ideas such as Industry 4.0, Internet of Things, and Industrial Internet are dictating those changes. One of those changes involves

Categorical Models for Process Planning

November 19, 2018
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Albert W. Jones
Process plans provide a structure for 1) identifying the tasks involved in a given process, 2) the resources needed to accomplish them, and 3) a variety of relationships and constraints between these. This information guides important operational decisions

Condition-based Real-time Production Control for Smart Manufacturing Systems

August 19, 2018
Author(s)
Yan Lu, Feifan Wang, Feng Ju
In this paper, we present condition-based real-time production control for smart manufacturing which is aimed at improving system performance by automatically assessing a production system's condition and dynamically configuring the processing routes for
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