Combining channel theory and semantic web technology to build up a production capability matching framework

Andreas Bildstein; Junkang Feng; Thomas Bauernhansl

doi:10.1016/j.procir.2019.03.025

Combining channel theory and semantic web technology to build up a production capability matching framework

Andreas Bildstein^*, Junkang Feng, Thomas Bauernhansl

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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Abstract

One of the main theories behind the worldwide ‘Factories of the Future’ movement is the idea that machines and systems, and thus the production system, should reach a certain level of self-organisation. We support this self-organisation of the production system by introducing a production capability matching framework that is based on an extended application of Channel Theory combined with the extensive use of Semantic Web technologies like OWL ontologies and rules based on SWRL. This approach shows that the combination of Channel Theory and Semantic Web technology is able to lay the groundwork for an automated equipment assignment process in global and local value chains.

Original language	English
Pages (from-to)	139-144
Number of pages	6
Journal	Procedia CIRP
Volume	81
DOIs	https://doi.org/10.1016/j.procir.2019.03.025
Publication status	Published - 24 Jun 2019

Keywords

channel theory
capability matching framework
semantic web technology

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10.1016/j.procir.2019.03.025Licence: CC BY-NC-ND

2019 06 24 Bildstein et al Channel finalFinal published version, 928 KBLicence: CC BY-NC-ND

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AU - Bildstein, Andreas

AU - Feng, Junkang

AU - Bauernhansl, Thomas

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N2 - One of the main theories behind the worldwide ‘Factories of the Future’ movement is the idea that machines and systems, and thus the production system, should reach a certain level of self-organisation. We support this self-organisation of the production system by introducing a production capability matching framework that is based on an extended application of Channel Theory combined with the extensive use of Semantic Web technologies like OWL ontologies and rules based on SWRL. This approach shows that the combination of Channel Theory and Semantic Web technology is able to lay the groundwork for an automated equipment assignment process in global and local value chains.

AB - One of the main theories behind the worldwide ‘Factories of the Future’ movement is the idea that machines and systems, and thus the production system, should reach a certain level of self-organisation. We support this self-organisation of the production system by introducing a production capability matching framework that is based on an extended application of Channel Theory combined with the extensive use of Semantic Web technologies like OWL ontologies and rules based on SWRL. This approach shows that the combination of Channel Theory and Semantic Web technology is able to lay the groundwork for an automated equipment assignment process in global and local value chains.

KW - channel theory

KW - capability matching framework

KW - semantic web technology

U2 - 10.1016/j.procir.2019.03.025

DO - 10.1016/j.procir.2019.03.025

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VL - 81

SP - 139

EP - 144

JO - Procedia CIRP

JF - Procedia CIRP

ER -

Combining channel theory and semantic web technology to build up a production capability matching framework

Abstract

Keywords

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