Reliability analysis of repairable systems using system dynamics modeling and simulation

• Published in: Journal of industrial engineering international Vol. 10; no. 3; pp. 1 - 10
• Main Authors: Rao, M. Srinivasa, Naikan, V.N.A
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.09.2014; Springer Berlin Heidelberg; Islamic Azad University, South Tehran Branch
• Subjects: Complex systems; Computer simulation; Dynamic implications of standby systems; Engineering; Engineering Economics; Facility Management; Industrial and Production Engineering; Logistics; Marketing; Markov system dynamics approach; Mathematical and Computational Engineering; Organization; Original Research; Quality Control; Reliability; Reliability analysis; Safety and Risk; Simulation; Simulation approach; System dynamics; System reliability; Systems analysis; Reliability analysis; Markov system dynamics approach; Simulation approach; Dynamic implications of standby systems; Complex systems
• ISSN: 2251-712X; 1735-5702; 2251-712X
• DOI: 10.1007/s40092-014-0069-3

Repairable standby system's study and analysis is an important topic in reliability. Analytical techniques become very complicated and unrealistic especially for modern complex systems. There have been attempts in the literature to evolve more realistic techniques using simulation approach for reliability analysis of systems. This paper proposes a hybrid approach called as Markov system dynamics (MSD) approach which combines the Markov approach with system dynamics simulation approach for reliability analysis and to study the dynamic behavior of systems. This approach will have the advantages of both Markov as well as system dynamics methodologies. The proposed framework is illustrated for a standby system with repair. The results of the simulation when compared with that obtained by traditional Markov analysis clearly validate the MSD approach as an alternative approach for reliability analysis.