A product life cycle ontology for additive manufacturing
| Autor: | Barry Smith, J. Neil Otte, Rahul Rai, Munira Mohd Ali |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Process management General Computer Science business.industry Interoperability General Engineering 02 engineering and technology Ontology (information science) Product (business) 020901 industrial engineering & automation Product lifecycle Manufacturing Controlled vocabulary 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Digital manufacturing Software system business |
| Zdroj: | Computers in Industry. 105:191-203 |
| ISSN: | 0166-3615 |
| DOI: | 10.1016/j.compind.2018.12.007 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect