Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Analyzing maintenance strategies by agent-based simulations : a feasibility study
Autor/-in: Kaegi, Manuel
Mock, Ralf Günter
Kröger, Wolfgang
DOI: 10.1016/j.ress.2009.02.002
Erschienen in: Reliability Engineering & System Safety
Band(Heft): 94
Heft: 9
Seiten: 1416
Seiten bis: 1421
Erscheinungsdatum: 2009
Verlag / Hrsg. Institution: Elsevier
ISSN: 0951-8320
Sprache: Englisch
Schlagwörter: Agent-based modeling; Monte Carlo simulation; Markov chains; Maintenance; Reliability analysis; Risk analysis; Instandhaltung; Simulation
Fachgebiet (DDC): 004: Informatik
Zusammenfassung: Thoroughly planned and implemented maintenance strategies save time and cost. However, the integration of maintenance work into reliability analysis is difficult as common modeling techniques are often not applicable due to state explosion which calls for restrictive model assumptions and oversimplification. From authors’ point of view, agent-based modeling (ABM) of technical and organizational systems is a promising approach to overcome such problems. But since ABM is not well established in reliability analysis its feasibility in this area still has to be demonstrated. For this purpose ABM is compared with Markov chains, namely by analyzing the reliability of a maintained n-unit system with dependent repair events, applying both modeling approaches. Although ABM and Markov chains lead to the same numerical results, the former points out the potentiality of an improved system state handling. This is demonstrated by extending the ABM with operators as additional “agents” featuring their location (x;y) availability (0;1) and different maintenance strategies. This extension highlights the capability of ABM to analyze complex emergent system behavior and allows a systematic refinement and optimization of the maintenance strategies.
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Angewandte Informationstechnologie (InIT)
Enthalten in den Sammlungen:Publikationen School of Engineering

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