On time-dependent availability and maintenance optimization of standby units under various maintenance policies

Vaurio, J.K.

doi:10.1016/s0951-8320(96)00132-9

Cited by 98 publications

(44 citation statements)

References 16 publications

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“…The early methods focused on test interval optimization based on minimizing the time-average unavailability without considering cost (Jacobs, 1968;Hirsch, 1971;Signoret, 1976;Vaurio, 1991). This approach was later extended to optimization based on cost with safety primarily being a constraint (Vaurio, 1995;Vatn et al, 1996;Dekker, 1996;Vaurio, 1997;Vatn, 1997) and optimization based on equipment risk without consideration for risk to humans (Vaurio, 1995;Jo and Park, 2003;Khalaquzzaman et al, 2010Khalaquzzaman et al, , 2011Kančev andČepin, 2011a,b). Cost-based optimization is being widely applied in industrial engineering and features as a step in the RCM (Reliability Centered Maintenance) process, where it is used to optimize the maintenance interval after a suitable maintenance task would have been selected with the RCM decision tree (Rausand and Vatn, 2008).…”

Section: Review Of Existing Methods For the Optimization Of Maintenanmentioning

confidence: 99%

Optimization of recertification intervals for PSV based on major accident risk

Okoh

Haugen

Vinnem

2016

Journal of Loss Prevention in the Process Industries

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Overpressure is a major hazard in the process industry with the potential to lead to a major accident. Pressure Safety Valves (PSVs) are often used as the last layer of protection against such a hazard and require regular recertification in order to be dependable. The valve safely vents gas from a vessel when the pressure becomes excessive. It is often the practice in industry to apply one or two years as the normal recertification interval of PSV. However, experience from the Norwegian oil and gas industry is that the recertification process several times have caused leaks of gas. The process thus represents a certain risk in itself and the question is then whether the recertification intervals presently being used actually are optimal from a risk point of view? The objective of this paper is to look into this problem, applying typical data from an oil and gas installation. An optimal recertification interval will be calculated based on minimization of risk to personnel.

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Section: Review Of Existing Methods For the Optimization Of Maintenanmentioning

confidence: 99%

Optimization of recertification intervals for PSV based on major accident risk

Okoh

Haugen

Vinnem

2016

Journal of Loss Prevention in the Process Industries

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“…Although there are numerous research results with regard to the scheduling of jobs under a given maintenance policy, only a few results exist with regard to problems that concern the scheduling of jobs and the scheduling of preventive maintenance (PM) simultaneously. There are two basic methods for PM: time-based maintenance (TBM) and condition-based maintenance (CBM) [27]. As TBM usually deals with a primary problem that determines a periodic interval to perform PM, regardless of the health status of the machine, many companies have changed their strategy and use CBM, which is normally less costly [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Production scheduling with history‐dependent setup times

Lee

Lei

Pinedo

2012

Naval Research Logistics

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Abstract:We consider a parallel-machine scheduling problem with jobs that require setups. The duration of a setup does not depend only on the job just completed but on a number of preceding jobs. These setup times are referred to as history-dependent. Such a scheduling problem is often encountered in the food processing industry as well as in other process industries. In our model, we consider two types of setup times-a regular setup time and a major setup time that becomes necessary after several "hard-toclean" jobs have been processed on the same machine. We consider multiple objectives, including facility utilization, flexibility, number of major setups, and tardiness. We solve several special cases assuming predetermined job sequences and propose strongly polynomial time algorithms to determine the optimal timing of the major setups for given job sequences. We also extend our analysis to develop pseudopolynomial time algorithms for cases with additional objectives, including the total weighted completion time, the total weighted tardiness, and the weighted number of tardy jobs.

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“…Reference [13] presents an analysis of time-dependent unavailabilities of periodically tested components under various test and repair policies in which component renewals may eventually take place. Cost functions are developed under three different preventive maintenance policies, including test, maintenance, repair, and accident costs.…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Allowed Outage Time and Surveillance Test Interval Extensions for Angra 1

Gibelli

Melo

Leite

2012

International Journal of Quality, Statistics, and Reliability

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In this work, Probabilistic Safety Assessment (PSA) is used to evaluate Allowed Outage Times (AOT) and Surveillance Test Intervals (STI) extensions for three Angra 1 nuclear power plant safety systems. The interest in such an analysis lies on the fact that PSA comprises a risk-based tool for safety evaluation and has been increasingly applied to support both the regulatory and the operational decision-making processes. Regarding Angra 1, among other applications, PSA is meant to be an additional method that can be used by the utility to justify Technical Specification relaxation to the Brazilian regulatory body. The risk measure used in this work is the Core Damage Frequency, obtained from the Angra 1 Level 1 PSA study. AOT and STI extensions are evaluated for the Safety Injection, Service Water and Auxiliary Feedwater Systems using the SAPHIRE code. In order to compensate for the risk increase caused by the extensions, compensatory measures as (1) test of redundant train prior to entering maintenance and (2) staggered test strategy are proposed. Results have shown that the proposed AOT extensions are acceptable for two of the systems with the implementation of compensatory measures whereas STI extensions are acceptable for all three systems.

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On time-dependent availability and maintenance optimization of standby units under various maintenance policies

Cited by 98 publications

References 16 publications

Optimization of recertification intervals for PSV based on major accident risk

Optimization of recertification intervals for PSV based on major accident risk

Production scheduling with history‐dependent setup times

Risk-Based Allowed Outage Time and Surveillance Test Interval Extensions for Angra 1

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