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Behavioral study and availability optimization of a multi-state repairable system with hot redundancy

Amit Kumar (Department of Mechanical Engineering, Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Yamunanagar, India)
Vinod Kumar (Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Kurukshetra, India)
Vikas Modgil (Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Sonipat, India)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 6 February 2019

Issue publication date: 18 March 2019

119

Abstract

Purpose

The purpose of this paper is to identify the criticality of various sub-systems through the behavioral study of a multi-state repairable system with hot redundancy. The availability of the system is optimized to evaluate the optimum combinations of failure and repair rate parameters for various sub-systems.

Design/methodology/approach

The behavioral study of the system is conducted through the stochastic model under probabilistic approach, i.e., Markov process. The first-order differential equations associated with the stochastic model are derived with the use of mnemonic rule assuming that the failure and repair rate parameters of all the sub-systems are constant and exponentially distributed. These differential equations are further solved recursively using the normalizing condition to obtain the long-run availability of the system. A particle swarm optimization (PSO) algorithm for evaluating the optimum availability of the system and supporting computational results are presented.

Findings

The maintenance priorities for various sub-systems can easily be set up, as it is clearly identified in the behavioral analysis that the sub-system (A) is the most critical component which highly influences the system availability as compared to other sub-systems. The PSO technique modifies input failure and repair rate parameters for each sub-system and evaluates the optimum availability of the system.

Originality/value

A bottom case manufacturing system is under the evaluation, which is the main component of front shock absorber in two-wheelers. The input failure and repair rate parameters were parameterized from the information provided by the plant personnel. The finding of the paper provides the various availability measures and shows the grate congruence with the system behavior.

Keywords

Citation

Kumar, A., Kumar, V. and Modgil, V. (2019), "Behavioral study and availability optimization of a multi-state repairable system with hot redundancy", International Journal of Quality & Reliability Management, Vol. 36 No. 3, pp. 314-330. https://doi.org/10.1108/IJQRM-12-2017-0274

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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