Metadata Modeling for Manufacturing Enterprise Integration

Published

January 6, 2025

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

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 January 17, 2025)