Availability optimisation of multi-state series-parallel systems with human failures

Seyed Sirvan Karimi, Mahdi Karbasian and Reza Tavakkoli-Moghaddam

International Journal of Industrial and Systems Engineering, 2018, vol. 29, issue 2, 127-143

Abstract: Nowadays, the availability of systems and tendency to commit errors has become an important issue during the design of many engineering systems. Humans play a key role in the overall availability of engineering systems because many systems are interconnected by human links to a certain degree. Obviously, if the system is multi-state, methods to achieve the availability values of the system have an important role. In this paper, a redundancy optimisation problem for multi-state systems subject to human failures is formulated to minimise the system cost. Human failures are recognised with a fault tree analysis method, the universal generating function algorithm is used to compute the system availability and the genetic algorithm to optimise the system structure. To illustrate the credibility and applicability of the model, a case study is offered and analysed. The result of the solved model is corroborated and shows the efficiency of the used methods.

Keywords: human failures; minor and major failures; multi-state systems; MSS; UGF algorithm; genetic algorithm. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=91896 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:29:y:2018:i:2:p:127-143

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().