Published December 2021 | Version v1
Journal article

Estimation of the value of an inspection and maintenance program: A Bayesian gamma process model

  • 1. Department of Civil Engineering, Ryerson University, 350 Victoria Street, Toronto, ON (Canada)
  • 2. Department of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON (Canada)

Description

Highlights: • Economic value of an inspection and replacement program for ageing components. • Solution of the value of information (VOI) problem for gamma degradation process. • Study of role of epistemic & temporal uncertainties in a stochastic VOI problem. • Value of synergistic effect of information in a multiple component population. This paper presents a model to quantify the economic value gained by implementation of an inspection and preventive maintenance program for managing an ageing component population. The proposed approach is a refinement of the Bayesian value of information analysis through the consideration of an intricate interaction between parameter and temporal uncertainties associated with the gamma process of degradation. This paper presents an analytical formulation and computational approach to solve this complex problem in a multivariate setting. The paper shows that the economic value is significantly sensitive to the prior information and relative costs of preventive and corrective maintenance. Since the value of inspection is dominated by a reduction in the parameter uncertainty of the gamma process model, lifecycle cost optimization which ignores this aspect would lead to a sub-optimal solution of the problem.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2021.107912

Additional details

Identifiers

DOI
10.1016/j.ress.2021.107912;
PII
S0951832021004270;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
216
Journal Page Range
vp.
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54018613
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BAYESIAN STATISTICS; MAINTENANCE; MULTIVARIATE ANALYSIS; OPTIMIZATION; STOCHASTIC PROCESSES
Descriptors DEC
MATHEMATICS; STATISTICS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.