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doi:10.22028/D291-34122
Titel: | 16 Applications of RPA in manufacturing |
VerfasserIn: | Pfeiffer, Peter Fettke, Peter |
HerausgeberIn: | Czarnecki, Christian Fettke, Peter |
Sprache: | Englisch |
Titel: | Robotic Process Automation : Management, Technology, Applications |
Startseite: | 315 |
Endseite: | 346 |
Verlag/Plattform: | De Gruyter |
Erscheinungsjahr: | 2021 |
Erscheinungsort: | Berlin |
Dokumenttyp: | Buchbeitrag |
Abstract: | Robotic process automation (RPA) tools are nowadays frequently used in sectors with primarily office work like services, telecommunications, administration, finance, and insurance. However, industrial domains like manufacturing also have huge potential for RPA to automale a large variety of tasks. As in office work, there are a Iot of more or Iess complex activities and workflows that are repetitive and error prone. In this chapter, we will introduce potential use cases for RPA in manufacturing along the Y-CIM model and show one practical application of cognitive RPA in this domain for retrieving a computer·aided design (CAD) model from a query image. The digitalization of the industrial sector olfers a Iot of possibilities for automation. Many processes are supported by computer-aided machines and information is stored and shared using a unified database. During product development and production, CAD is frequently used nowadays to design and modify a workpiece realistically on a computer before going into production. During manufacturing, CAD data are available and can be used in computer·aided machin es to automale certain parts of the manufacturing process. A new artifidal intelligence application will be introduced which is able to propese a Iist of CAD models from a database given a photo of a workpiece. An operator can check this Iist and select the correct CAD model. This is not only a new method to retrieve CAD models from images but also one of the first approaches to enable the use of RPA in the industrial domain. |
DOI der Erstveröffentlichung: | 10.1515/9783110676693-016 |
URL der Erstveröffentlichung: | https://www.degruyter.com/document/doi/10.1515/9783110676693-016/html |
Link zu diesem Datensatz: | hdl:20.500.11880/31443 http://dx.doi.org/10.22028/D291-34122 |
ISBN: | 978-3-11-067669-3 978-3-11-067668-6 |
Datum des Eintrags: | 28-Jun-2021 |
Bemerkung/Hinweis: | 1. Auflage |
Fakultät: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Fachrichtung: | HW - Wirtschaftswissenschaft |
Professur: | HW - Prof. Dr. Peter Loos |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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