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Search Publications

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Displaying 51 - 75 of 599

A Graph-based Automatic Services Composition based on Cost Estimation Heuristic

October 31, 2019
Author(s)
Boonserm Kulvatunyou, Yunsu Lee, Minchul Lee, Yun Peng, Nenad Ivezic
Currently, software and hardware are being virtualized and offered as services on the internet. Companies have an opportunity to improve their workflow by composing these services that best suitable their requirements from both quality and cost objectives

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

Design-for-Cost – An Approach for Distributed Manufacturing Cost Estimation

September 2, 2019
Author(s)
Minchul Lee, Boonserm Kulvatunyou
Researches have shown that design changes cost more in later stages of product development. Therefore, companies adopt Design-for-X methods to optimize product designs from many aspects in the early design stage. Despite such efforts, they often encounter

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

Integrating four-dimensional ontology and systems requirements modelling

July 18, 2019
Author(s)
Conrad E. Bock, Charles Galey
Ontology has many applications to engineering but is not easily taken up by engineers. For example, specifying products in space and time together (four dimensions) enables more reliable modelling and analysis, but this work is primarily ontological and

The Unit Manufacturing Process (UMP) Builder: User's Guide

July 3, 2019
Author(s)
David Lechevalier, William Z. Bernstein
The ASTM E3012-16 Standard Guide for Characterizing Environmental Aspects of Manufacturing Processes provides guidelines for formally characterizing manufacturing processes. However, the difficulty that has arisen in the early use of the standard

FEA solver integration framework

June 20, 2019
Author(s)
Conrad E. Bock, Jerome Szarazi
Integrating finite element analysis (FEA) with systems engineering (SE) would improve traceability, consistency, and interoperability between SE and FEA activities in multiple engineering disciplines. The first step in achieving this is a software

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

A Reference Schema for the Unit Manufacturing Process Information Model

May 7, 2019
Author(s)
William Bernstein, David Lechevalier
This document presents supporting documentation for a reference implementation of the Unit Manufacturing Process (UMP) information model presented in ASTM E3012, Standard Guide for Characterizing Environmental Aspects of Manufacturing Processes. A version

2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems

April 22, 2019
Author(s)
Nenad Ivezic, Boonserm Kulvatunyou, Michael P. Brundage, Yan Lu, Evan K. Wallace, Albert W. Jones
This report summarizes the results from the 2018 NIST/OAGi Workshop: Enabling Composable Service-Oriented Manufacturing Systems, which was held at the National Institute of Standards and Technology campus in Gaithersburg, MD, on April 23-24, 2018. This was

Factory Optima: A Web-based System for Composition and Analysis of Manufacturing Service Networks based on a Reusable Model Repository

February 6, 2019
Author(s)
Alexander Brodsky, Mohan Krishnamoorthy, Mohomad O. Nachawati, William Z. Bernstein, Daniel A. Menasce
This paper reports on the development of Factory Optima, a web-based system that allows manufacturing process engineers to compose, optimize and perform trade-off analysis of manufacturing and contract service networks based on a reusable repository of

A Survey on Knowledge Transfer for Manufacturing Data Analytics

November 5, 2018
Author(s)
Seung Hwan Bang, Ronay Ak, Anantha Narayanan Narayanan, Yung-Tsun T. Lee, Hyunbo Cho
Data analytics techniques have been used for numerous manufacturing applications in various areas. A common assumption of data analytics models is that the environment that generates data is stationary, that is, the feature (or label) space or distribution

A more efficient method for calibrating discrete element method parameters for simulations of metallic powder used in additive manufacturing

October 31, 2018
Author(s)
Stephen R. Geer, Michelle Bernhardt, Edward Garboczi, Justin Whiting, Alkan Donmez
Laser powder bed fusion (LPBF) is an additive manufacturing (AM) process that uses a high-power laser to selectively melt metal powder that has been spread, layer-by-layer, to create parts with highly complex features. Because of the strong influence that

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

October 2, 2018
Author(s)
Saideep Nannapaneni, Anantha Narayanan Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Lee
Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A

Towards a Platform for Smart Manufacturing Improvement Planning

August 20, 2018
Author(s)
Boonserm Kulvatunyou, Sangsu Choi, Thorsten Wuest
The manufacturing industry is transitioning towards smart manufacturing systems (SMS). Small and medium size manufacturers (SMMs) are particularly be-hind in this transition, plagued by lack of knowledge and resources. Several smart manufacturing

Model-Based Approach Towards Integrating Manufacturing Design and Analysis

July 10, 2018
Author(s)
Anantha Narayanan Narayanan, Yung-Tsun T. Lee
As internet technologies and cloud-based services evolve, a new market structure is emerging across various industries, and particularly in the data-driven-analytics-services industry. This could have a great impact in the smart manufacturing sector, where
Displaying 51 - 75 of 599