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Development of a Methodology for the Analysis and Evaluation of Alternative Actions in Disruption Management in Production
- Due to Digital Transformation, also called Industry 4.0 or the Industrial Internet of Things, the barrier for implementing data collecting technology on the shop floor has decreased dramatically in the past years – leading to an increasingly growing amount of data from a multitude of IT systems in production companies worldwide. Despite that, the production controller still relies heavily on intrinsic knowledge and intuition for the management of disruptions in production. Thanks to advances in the fields of production control and artificial intelligence, potentials for the collected data for disruption management arise. However, in order to transform data into usable information and allow drawing conclusions for disruption management in production, the relevant data-objects, disturbances and alternative actions must be known. Thus, the decision-making can be supported, reducing the decision latency and increasing benefit of alternative actions. Therefore, the goal of this paper is to discuss the prerequisites necessary to perform a data based disruption management and the methodology itself, serving as an approach to allow companies to build a data basis, classify disruptions and alternative actions in order to improve decision making in the future. [https://link.springer.com/chapter/10.1007/978-3-030-28464-0_13]
Author: | Ben LuetkehoffGND, Volker StichGND, Moritz SchröterGND, Felix SteinleinGND |
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URL: | https://link.springer.com/chapter/10.1007/978-3-030-28464-0_13 |
DOI: | https://doi.org/10.1007/978-3-030-28464-0_13 |
ISBN: | 978-3-030-28463-3 |
ISBN: | 978-3-030-28464-0 |
Parent Title (English): | Collaborative Networks and Digital Transformation. 20th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2019, Turin, Italy, September 23–25, 2019, Proceedings |
Series (Serial Number): | IFIP advances in information and communication technology (568) |
Publisher: | Springer |
Place of publication: | Cham [u. a.] |
Editor: | Luis M. Camarinha-Matos, Hamideh Afsarmanesh, Dario Antonelli |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2023/08/21 |
Date of first Publication: | 2019/08/15 |
Release Date: | 2023/08/21 |
Tag: | decision making; decision support; disruption management; reaction strategy |
First Page: | 143 |
Last Page: | 150 |
FIR-Number: | SV7744 |
Name of the conference: | 20th IFIP WG 5.5 Working Conference on Virtual Enterprises (PRO-VE 2019) |
place of the conference: | Turin |
Date of the conference: | 23.09.2019-25.09.2019 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Produktionsmanagement | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |