| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Analyzing maintenance strategies by agent-based simulations : a feasibility study |
| Authors: | Kaegi, Manuel Mock, Ralf Günter Kröger, Wolfgang |
| DOI: | 10.1016/j.ress.2009.02.002 |
| Published in: | Reliability Engineering & System Safety |
| Volume(Issue): | 94 |
| Issue: | 9 |
| Page(s): | 1416 |
| Pages to: | 1421 |
| Issue Date: | 2009 |
| Publisher / Ed. Institution: | Elsevier |
| ISSN: | 0951-8320 |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/13302 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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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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