Published December 2017 | Version v1
Journal article

On preventive maintenance of systems with lifetimes dependent on a random shock process

  • 1. Department of Statistics, Ewha Womans University, Seoul 120-750 (Korea, Republic of)
  • 2. ITMO University, 49 Kronverkskiy pr., St. Petersburg 197101 (Russian Federation)
  • 3. Department of Mathematical Statistics, University of the Free State, Bloemfontein (South Africa)
  • 4. The Israel Electric Corporation, Haifa (Israel)

Description

We consider preventive maintenance (age replacement) of items operating in a random environment modeled by a Poisson process of shocks. An item is replaced either on failure or on the predetermined replacement time, whichever comes first. Each shock in our stochastic model has a double effect. On one hand, it acts directly on the failure rate of an item, which results in the corresponding stochastic failure rate process. On the other hand, each shock causes additional 'damage', which can be attributed, e.g., to a short drop in the output of an item. The corresponding optimization problem is considered and illustrated by detailed numerical examples. - Highlights: • We consider preventive maintenance of items under a Poisson random shock process. • This paper deals with a double effect of shocks. • This paper presents an analytical solution for the long-run cost rate. • This paper presents examples and discussion on optimal preventive maintenance time.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2017.03.023

Additional details

Identifiers

DOI
10.1016/j.ress.2017.03.023;
PII
S0951-8320(16)30592-0;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
168
Journal Page Range
p. 90-97
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49091346
Subject category
S42: ENGINEERING;
Descriptors DEI
ANALYTICAL SOLUTION; FAILURES; MAINTENANCE; RANDOMNESS; STOCHASTIC PROCESSES
Descriptors DEC
MATHEMATICAL SOLUTIONS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.