Monitoring and automating factories using semantic models

5Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Keeping factories running at any time is a critical task for every manufacturing enterprise. Optimizing the flows of goods and services inside and between factories is a challenge that attracts much attention in research and business. The idea to fully describe a factory in a digital form to improve decision making is called a virtual factory. While promising virtual factory frameworks have been proposed, their semantic models lack depth and suffer from limited expressiveness. We propose an enhanced semantic model of a factory, which enables views spanning from the high level of supply chains to the low level of machines on the shop floor. The model includes a mapping to relational production databases to support federated queries on different legacy systems in use. We evaluate the model in a production line use case, demonstrating that it can be used for typical factory tasks, such as assembly line identification or machine availability checks.

Cite

CITATION STYLE

APA

Petersen, N., Galkin, M., Lange, C., Lohmann, S., & Auer, S. (2016). Monitoring and automating factories using semantic models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10055 LNCS, pp. 315–330). Springer Verlag. https://doi.org/10.1007/978-3-319-50112-3_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free