QUANTITATIVE AND QUALITATIVE METHODS IN RISK-BASED RELIABILITY ASSESSING UNDER EPISTEMIC UNCERTAINTY

Authors

  • M. Khalaj Department of Industrial Engineering, Science and Research Branch, University of Islamic Azad University, Tehran, Iran
  • A. Makui Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  • R. Tavakkoli-Moghaddam Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

DOI:

https://doi.org/10.7166/23-2-332

Abstract

ENGLISH ABSTRACT: The overall objective of the reliability allocation is to increase the profitability of the operation and optimise the total life cycle cost without losses from failure issues. The methodology, called risk-based reliability (RBR), is based on integrating a reliability approach and a risk assessment strategy to obtain an optimum cost and acceptable risk. This assessment integrates reliability with the smaller losses from failures issues, and so can be used as a tool for decision-making. The approach to maximising reliability should be replaced with the risk-based reliability assessment approach, in which reliability planning, based on risk analysis, minimises the probability of system failure and its consequences. This paper proposes a new methodology for risk-based reliability under epistemic uncertainty, using possibility theory and probability theory. This methodology is used for a case study in order to determine the reliability and risk of production systems when the available data are insufficient, and to help make decisions.

AFRIKAANSE OPSOMMING: Die hoofdoelwit van betroubaarheidstoedeling is die verhoging van winsgewendheid van sisteemgebruik teen die agtergrond van optimum totale leeftydsikluskoste. Die metodologie genaamd

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Published

2011-11-05

How to Cite

Khalaj, M., Makui, A., & Tavakkoli-Moghaddam, R. (2011). QUANTITATIVE AND QUALITATIVE METHODS IN RISK-BASED RELIABILITY ASSESSING UNDER EPISTEMIC UNCERTAINTY. The South African Journal of Industrial Engineering, 23(2). https://doi.org/10.7166/23-2-332

Issue

Vol. 23 No. 2 (2012)

Section

General Articles

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