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.2017.03.023Additional 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.