A Product Life Cycle Ontology for Additive Manufacturing

Computers in Industry 105:191-203 (2019)

Authors
Barry Smith
State University of New York, Buffalo
J. Neil Otte
Johns Hopkins University Applied Physics Laboratory
Abstract
The manufacturing industry is evolving rapidly, becoming more complex, more interconnected, and more geographically distributed. Competitive pressure and diversity of consumer demand are driving manufacturing companies to rely more and more on improved knowledge management practices. As a result, multiple software systems are being created to support the integration of data across the product life cycle. Unfortunately, these systems manifest a low degree of interoperability, and this creates problems, for instance when different enterprises or different branches of an enterprise interact. Common ontologies (consensus-based controlled vocabularies) have proved themselves in various domains as a valuable tool for solving such problems. In this paper, we present a consensus-based Additive Manufacturing Ontology (AMO) and illustrate its application in promoting re-usability in the field of dentistry product manufacturing.
Keywords digital manufacturing  materials science  industrial ontology
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

Our Archive
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

Add more citations

Similar books and articles

The Industrial Ontologies Foundry Proof-of-Concept Project.Evan Wallace, Dimitris Kiritsis, Barry Smith & Chris Will - 2018 - In Ilkyeong Moon, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis & Gregor von Cieminski (eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0. IFIP. pp. 402-409.
Agile Manufacturing Strategy and Business Ethics.J. Poesche - 2002 - Journal of Business Ethics 38 (4):307 - 326.
In Dirty Chains? Purchasing and Greener Manufacturing.Lutz Preuss - 2001 - Journal of Business Ethics 34 (3-4):345 - 359.

Analytics

Added to PP index
2018-12-24

Total views
549 ( #7,041 of 2,259,729 )

Recent downloads (6 months)
380 ( #879 of 2,259,729 )

How can I increase my downloads?

Downloads

My notes

Sign in to use this feature