NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Metadata Modeling for Manufacturing Enterprise Integration

Published

Author(s)

Yan Lu, Boonserm Kulvatunyou, James Jim Wilson, Michael Figura, Josh Ki, David Noller

Abstract

The continuous digitalization and digital transformation are expanding enterprise information exchange scenarios that span product data, process data sets, and supply chain documents. This paper samples common manufacturing enterprise metadata exchange scenarios, provides a survey on existing metadata standards and proposes a modeling approach for manufacturing enterprise metadata standards development. The report first introduces a few enterprise-data object exchange use cases and their needs of metadata data. After that a survey on existing standards for metadata modeling and state-of-art metadata technology is presented as a base for the proposed Uniform Metadata Model for Manufacturing Enterprise Integration (UMM4Mei). UMM4Mei is a novel, extensible, hierarchical metadata modeling approach for CAD model, process data set and supply chain document metadata modeling. The report concludes with standards development plans.
Citation
Advanced Manufacturing Series (NIST AMS) - 100-65
Report Number
100-65
NIST Pub Series
Advanced Manufacturing Series (NIST AMS)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.AMS.100-65
Local Download

Keywords

Enterprise integration, metadata modeling, metadata management, metadata standards, manufacturing ontology
Systems integration, Manufacturing and Interoperability in manufacturing

Citation

Lu, Y. , Kulvatunyou, B. , Wilson, J. , Figura, M. , Ki, J. and Noller, D. (2025), Metadata Modeling for Manufacturing Enterprise Integration, Advanced Manufacturing Series (NIST AMS), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.AMS.100-65, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959073 (Accessed October 27, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created January 6, 2025
Was this page helpful?