International Journal of Industrial Engineering and Management

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Vol. 5 No. 2 (2014)
Original Research Article

Priority Analysis on the Reliability Parameters of an Existing Model

Seyed Hossein Khodaei
Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia
Bio
Adnan Hassan
Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia
Bio
Masoud Rahiminezhad Galankashi
Department of Material, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia
Bio

Published 2014-06-30

abstract views: 19 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Redundancy Allocation,
  • k-out-of-n,
  • Failure rate,
  • Cost,
  • Weight,
  • Preferences
  • ...More
    Less

How to Cite

Khodaei, S. H., Hassan, A., & Galankashi, M. R. (2014). Priority Analysis on the Reliability Parameters of an Existing Model. International Journal of Industrial Engineering and Management, 5(2), 77–84. https://doi.org/10.24867/IJIEM-2014-2-109

Abstract

The basic goal of this paper is to create an alternative based analysis in a reliability model. Despite the vast amount of studies on reliability analysis and related techniques, the evaluation of the importance of different alternatives is less investigated. In order to fill this gap, this research was carried out to systematically investigate the result of setting three different scenarios on a reliability model. A model of reliability system was proposed based on redundancy allocation problems. There are certain limitations (Weight and Cost)of proposed model. In particular, three different scenarios (the results of Failure Rate preference, Weight preference and Cost Preference) was presented. This investigation operated based on the assumption of allocating only one redundant component for the subsystems, and the main goal of this investigation is to determine what would be the results when lowest possibleWeight, lowest possible Cost and lowest possible failure rate is needed.

 

Article history: Received (23.03.2014); Revised (19.06.2014); Accepted (28.06.2014)  

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