Knowledge-Based Decision Making in a Cyber-Physical Production Scenario

J. Klöber-Koch; J. Pielmeier; S. Grimm; M. Miličić Brandt; M. Schneider; G. Reinhart

doi:10.1016/j.promfg.2017.04.014

Knowledge-Based Decision Making in a Cyber-Physical Production Scenario

J. Klöber-Koch, J. Pielmeier, S. Grimm, M. Miličić Brandt, M. Schneider, G. Reinhart

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

14 Scopus citations

Abstract

Market requirements such as shortened product life cycles as well as the increasing number of variants up to customized products lead to more complexity in production systems. Digitalization initiatives, such as the vision of “Industrie 4.0”, try to cope with this complexity by means of smart products and smart machines that are equipped with their own decision making capabilities for steering flexible ad-hoc production processes. In this paper, we discuss the use of semantic technologies together with cyber-physical systems for integrating decision making into smart production machinery. We report on the experiences with a prototypical realization based on Semantic Web technology on top of a complex cyber-physical production demo system at the Fraunhofer IGCV in Augsburg.

Original language	English
Pages (from-to)	167-174
Number of pages	8
Journal	Procedia Manufacturing
Volume	9
DOIs	https://doi.org/10.1016/j.promfg.2017.04.014
State	Published - Jan 2017
Externally published	Yes

Keywords

CPPS
Knowledge-Based Decision Making
Ontology Reasoning

Access to Document

10.1016/j.promfg.2017.04.014

Cite this

@article{a34f1d8b0bbe400ea61c363a712f0f04,

title = "Knowledge-Based Decision Making in a Cyber-Physical Production Scenario",

abstract = "Market requirements such as shortened product life cycles as well as the increasing number of variants up to customized products lead to more complexity in production systems. Digitalization initiatives, such as the vision of “Industrie 4.0”, try to cope with this complexity by means of smart products and smart machines that are equipped with their own decision making capabilities for steering flexible ad-hoc production processes. In this paper, we discuss the use of semantic technologies together with cyber-physical systems for integrating decision making into smart production machinery. We report on the experiences with a prototypical realization based on Semantic Web technology on top of a complex cyber-physical production demo system at the Fraunhofer IGCV in Augsburg.",

keywords = "CPPS, Knowledge-Based Decision Making, Ontology Reasoning",

author = "J. Kl{\"o}ber-Koch and J. Pielmeier and S. Grimm and Brandt, {M. Mili{\v c}i{\'c}} and M. Schneider and G. Reinhart",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors",

year = "2017",

month = jan,

doi = "10.1016/j.promfg.2017.04.014",

language = "English",

volume = "9",

pages = "167--174",

journal = "Procedia Manufacturing",

issn = "2351-9789",

}

TY - JOUR

T1 - Knowledge-Based Decision Making in a Cyber-Physical Production Scenario

AU - Klöber-Koch, J.

AU - Pielmeier, J.

AU - Grimm, S.

AU - Brandt, M. Miličić

AU - Schneider, M.

AU - Reinhart, G.

PY - 2017/1

Y1 - 2017/1

N2 - Market requirements such as shortened product life cycles as well as the increasing number of variants up to customized products lead to more complexity in production systems. Digitalization initiatives, such as the vision of “Industrie 4.0”, try to cope with this complexity by means of smart products and smart machines that are equipped with their own decision making capabilities for steering flexible ad-hoc production processes. In this paper, we discuss the use of semantic technologies together with cyber-physical systems for integrating decision making into smart production machinery. We report on the experiences with a prototypical realization based on Semantic Web technology on top of a complex cyber-physical production demo system at the Fraunhofer IGCV in Augsburg.

AB - Market requirements such as shortened product life cycles as well as the increasing number of variants up to customized products lead to more complexity in production systems. Digitalization initiatives, such as the vision of “Industrie 4.0”, try to cope with this complexity by means of smart products and smart machines that are equipped with their own decision making capabilities for steering flexible ad-hoc production processes. In this paper, we discuss the use of semantic technologies together with cyber-physical systems for integrating decision making into smart production machinery. We report on the experiences with a prototypical realization based on Semantic Web technology on top of a complex cyber-physical production demo system at the Fraunhofer IGCV in Augsburg.

KW - CPPS

KW - Knowledge-Based Decision Making

KW - Ontology Reasoning

UR - http://www.scopus.com/inward/record.url?scp=85020885234&partnerID=8YFLogxK

U2 - 10.1016/j.promfg.2017.04.014

DO - 10.1016/j.promfg.2017.04.014

M3 - Article

AN - SCOPUS:85020885234

SN - 2351-9789

VL - 9

SP - 167

EP - 174

JO - Procedia Manufacturing

JF - Procedia Manufacturing

ER -

Knowledge-Based Decision Making in a Cyber-Physical Production Scenario

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this