Galaske, Nadia ; Anderl, Reiner (2016)
Disruption management for resilient processes in cyber-physical production systems.
In: Procedia CIRP
Buchkapitel, Bibliographie
Kurzbeschreibung (Abstract)
The increasing complexity and dynamics of cyber-physical production systems (CPPS) lead to a high vulnerability to disturbances during production processes. In the event of process disruptions, decisions must be made in short time in order to minimize the impact on production systems. In this paper, a simulation-based decision support for the disruption management process in a resilient cyber-physical production system is presented. Scenarios for disruption events and response strategies are modeled and simulated. The simulation results for each disruption event scenario are evaluated and the best possible strategy is recommended to the decision-maker including the expected impact on production processes.
Typ des Eintrags: | Buchkapitel |
---|---|
Erschienen: | 2016 |
Autor(en): | Galaske, Nadia ; Anderl, Reiner |
Art des Eintrags: | Bibliographie |
Titel: | Disruption management for resilient processes in cyber-physical production systems |
Sprache: | Englisch |
Publikationsjahr: | 9 August 2016 |
Verlag: | Elsevier |
Buchtitel: | Procedia CIRP |
Reihe: | 26th CIRP Design Conference |
Band einer Reihe: | Volume 50 |
URL / URN: | doi:10.1016/j.procir.2016.04.144 |
Kurzbeschreibung (Abstract): | The increasing complexity and dynamics of cyber-physical production systems (CPPS) lead to a high vulnerability to disturbances during production processes. In the event of process disruptions, decisions must be made in short time in order to minimize the impact on production systems. In this paper, a simulation-based decision support for the disruption management process in a resilient cyber-physical production system is presented. Scenarios for disruption events and response strategies are modeled and simulated. The simulation results for each disruption event scenario are evaluated and the best possible strategy is recommended to the decision-maker including the expected impact on production processes. |
Freie Schlagworte: | Cyber-physical production systems, Industrie 4.0, Disruption management, Decision support, Process simulation |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Datenverarbeitung in der Konstruktion (DiK) (ab 01.09.2022 umbenannt in "Product Life Cycle Management") |
Hinterlegungsdatum: | 17 Aug 2016 09:11 |
Letzte Änderung: | 17 Aug 2016 09:11 |
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