IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v29y2018i2p127-143.html
   My bibliography  Save this article

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

Author

Listed:
  • Seyed Sirvan Karimi
  • Mahdi Karbasian
  • Reza Tavakkoli-Moghaddam

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.

Suggested Citation

  • Seyed Sirvan Karimi & Mahdi Karbasian & Reza Tavakkoli-Moghaddam, 2018. "Availability optimisation of multi-state series-parallel systems with human failures," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 29(2), pages 127-143.
  • Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:127-143
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=91896
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:127-143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.