loading
Papers

Research.Publish.Connect.

Paper

Authors: Matthias Blum and Guenther Schuh

Affiliation: Institute for Industrial Management (FIR) at RWTH Aachen University, Germany

ISBN: 978-989-758-247-9

Keyword(s): Industrie 4.0, Data Analytics, Digital Twin, Digital Shadow, Real-Time Architecture.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Databases and Information Systems Integration ; Enterprise Information Systems ; Enterprise Resource Planning ; Enterprise Software Technologies ; Scheduling and Planning ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Engineering

Abstract: Real-time data analytics methods are key elements to overcome the currently rigid planning and improve manufacturing processes by analysing historical data, detecting patterns and deriving measures to counteract the issues. The key element to improve, assist and optimize the process flow builds a virtual representation of a product on the shop-floor - called the digital twin or digital shadow. Using the collected data requires a high data quality, therefore measures to verify the correctness of the data are needed. Based on the described issues the paper presents a real-time reference architecture for the order processing. This reference architecture consists of different layers and integrates real-time data from different sources as well as measures to improve the data quality. Based on this reference architecture, deviations between plan data and feedback data can be measured in real-time and countermeasures to reschedule operations can be applied.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.24.122.228

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Blum, M. and Schuh, G. (2017). Towards a Data-oriented Optimization of Manufacturing Processes - A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 257-264. DOI: 10.5220/0006326002570264

@conference{iceis17,
author={Matthias Blum. and Guenther Schuh.},
title={Towards a Data-oriented Optimization of Manufacturing Processes - A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={257-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006326002570264},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards a Data-oriented Optimization of Manufacturing Processes - A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods
SN - 978-989-758-247-9
AU - Blum, M.
AU - Schuh, G.
PY - 2017
SP - 257
EP - 264
DO - 10.5220/0006326002570264

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.