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dc.contributor.authorKaegi, Manuel-
dc.contributor.authorMock, Ralf Günter-
dc.contributor.authorKröger, Wolfgang-
dc.date.accessioned2018-11-27T17:55:13Z-
dc.date.available2018-11-27T17:55:13Z-
dc.date.issued2009-
dc.identifier.issn0951-8320de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13302-
dc.description.abstractThoroughly 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.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofReliability Engineering & System Safetyde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAgent-based modelingde_CH
dc.subjectMonte Carlo simulationde_CH
dc.subjectMarkov chainsde_CH
dc.subjectMaintenancede_CH
dc.subjectReliability analysisde_CH
dc.subjectRisk analysisde_CH
dc.subjectInstandhaltungde_CH
dc.subjectSimulationde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleAnalyzing maintenance strategies by agent-based simulations : a feasibility studyde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1016/j.ress.2009.02.002de_CH
zhaw.funding.euNode_CH
zhaw.issue9de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1421de_CH
zhaw.pages.start1416de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume94de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Kaegi, M., Mock, R. G., & Kröger, W. (2009). Analyzing maintenance strategies by agent-based simulations : a feasibility study. Reliability Engineering & System Safety, 94(9), 1416–1421. https://doi.org/10.1016/j.ress.2009.02.002
Kaegi, M., Mock, R.G. and Kröger, W. (2009) ‘Analyzing maintenance strategies by agent-based simulations : a feasibility study’, Reliability Engineering & System Safety, 94(9), pp. 1416–1421. Available at: https://doi.org/10.1016/j.ress.2009.02.002.
M. Kaegi, R. G. Mock, and W. Kröger, “Analyzing maintenance strategies by agent-based simulations : a feasibility study,” Reliability Engineering & System Safety, vol. 94, no. 9, pp. 1416–1421, 2009, doi: 10.1016/j.ress.2009.02.002.
KAEGI, Manuel, Ralf Günter MOCK und Wolfgang KRÖGER, 2009. Analyzing maintenance strategies by agent-based simulations : a feasibility study. Reliability Engineering & System Safety. 2009. Bd. 94, Nr. 9, S. 1416–1421. DOI 10.1016/j.ress.2009.02.002
Kaegi, Manuel, Ralf Günter Mock, and Wolfgang Kröger. 2009. “Analyzing Maintenance Strategies by Agent-Based Simulations : A Feasibility Study.” Reliability Engineering & System Safety 94 (9): 1416–21. https://doi.org/10.1016/j.ress.2009.02.002.
Kaegi, Manuel, et al. “Analyzing Maintenance Strategies by Agent-Based Simulations : A Feasibility Study.” Reliability Engineering & System Safety, vol. 94, no. 9, 2009, pp. 1416–21, https://doi.org/10.1016/j.ress.2009.02.002.


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