Title: Analyzing maintenance strategies by agent-based simulations : a feasibility study
Authors : Kaegi, Manuel
Mock, Ralf Günter
Kröger, Wolfgang
Published in : Reliability engineering & system safety
Volume(Issue) : 94
Issue : 9
Pages : 1416
Pages to: 1421
Publisher / Ed. Institution : Elsevier
Issue Date: 2009
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (publication)
Language : English
Subjects : Agent-based modeling; Monte Carlo simulation; Markov chains; Maintenance; Reliability analysis; Risk analysis; Instandhaltung; Simulation
Subject (DDC) : 004: Computer science
Abstract: 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.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Article in scientific journal
DOI : 10.1016/j.ress.2009.02.002
ISSN: 0951-8320
URI: https://digitalcollection.zhaw.ch/handle/11475/13302
Appears in Collections:Publikationen School of Engineering

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