Towards a Data-oriented Optimization of Manufacturing Processes – A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods
- 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.
| Author: | Günther SchuhORCiDGND, Matthias BlumGND |
|---|---|
| DOI: | https://doi.org/10.5220/0006326002570264 |
| ISBN: | 978-989-758-247-9 |
| Parent Title (English): | Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017); Bd. 1 |
| Publisher: | SCITEPRESS - Science and Technology Publications |
| Place of publication: | Setúbal, Portugal |
| Editor: | Slimane Hammoudi, Michal Smialek, Olivier Camp, Joaquim Filipe |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2023/07/24 |
| Date of first Publication: | 2017/10/31 |
| Release Date: | 2023/08/31 |
| Tag: | Digitaler Schatten; Echtzeit data analytics; digital shadow; digital twin; real-time architecture |
| GND Keyword: | Industrie 4.0GND |
| First Page: | 257 |
| Last Page: | 264 |
| FIR-Number: | SV6864 |
| Name of the conference: | International Conference on Enterprise Information Systems |
| place of the conference: | Porto, Portugal |
| Date of the conference: | 26.04.2017-29.04.2017 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
