A Product Life Cycle Ontology for Additive Manufacturing

Computers in Industry 105:191-203 (2019)
  Copy   BIBTEX

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.

Author Profiles

Barry Smith
University at Buffalo
J. Neil Otte
Johns Hopkins University Applied Physics Laboratory

Analytics

Added to PP
2018-12-24

Downloads
2,991 (#2,863)

6 months
195 (#13,987)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?