On the availability of a k-out-of-N system given limited spares and repair capacity under a condition based maintenance strategy

Smidt-Destombes, Karin S. de; Heijden, Matthijs C. van der; Harten, Aart van

doi:10.1016/j.ress.2003.10.004

Cited by 85 publications

(40 citation statements)

References 21 publications

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“…While using RCM data for spare part inventory control has to our best knowledge not been described in literature before, there are some contributions on spare parts inventory control for redundant systems. In De Smidt-Destombes et al [3] the tradeoff between repair capacity and spare part inventory control is investigated for a single k out of N system under condition based maintenance; i.e. when the number of defect pieces of equipment exceeds some previously defined limit, maintenance is initiated.…”

Section: Introductionmentioning

confidence: 99%

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Integrating reliability centered maintenance and spare parts stock control

Jaarsveld¹,

Dekker²

2009

Reliability, Risk, and Safety

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In the classical approach to determine how many spare parts to stock, the spare parts shortage costs or the minimum fill rate are a key factor. A difficulty with this approach lies in the estimation of these shortage costs or the determination of appropriate minimum fill rates. In an attempt to overcome this problem, we propose to use the data gathered in reliability centered maintenance studies to determine shortage costs. We discuss benefits of this approach. At the same time, the approach gives rise to complications, as the RCM study determines downtime costs of the underlying equipment, which have a complex relation with the shortage cost for spare parts in case multiple pieces of equipment have different downtime costs. A further complication is redundancy in the equipment. We develop a framework that enables the modelling of these more complicated systems. We propose an approximative, analytic method based on the model that can be used to determine minimum stock quantities in case of redundancy and multiple systems. In a quantitative study we show that the method performs well. Moreover, we show that including redundancy information in the stocking decision gives significant cost benefits.

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Section: Introductionmentioning

confidence: 99%

“…Two methods are proposed to analyze the system availability as a function of the number of spare parts stocked and the block replacement interval. Their most recent contribution [6] on the subject considers the optimization of the control parameters in the models presented earlier [3,4,5] to reach the target availability at minimal cost.…”

Section: Introductionmentioning

confidence: 99%

Integrating reliability centered maintenance and spare parts stock control

Jaarsveld¹,

Dekker²

2009

Reliability, Risk, and Safety

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show abstract

“…Two parts may be built in in parallel, or, more generally, n parts are built in, out of which k (k < n) need to function, a so-called k-out-of-n sytem. Modern radar systems at Thales Nederland, for instance, are equiped with n transmitter-receiver units in one plane, of which only k need to function for the radar to function (De Smidt-Destombes et al, 2004).…”

Section: User Networkmentioning

confidence: 99%

“…A good way to address these factors is by going back to the reliability data of a system and to incorporate the above factors in the modeling. This has been done, for instance, by Van Jaarsveld and Dekker (2011). De Smidt-Destombes et al (2004 have proposed spare parts models for so-called k-out-of-n sytems in which there are n identical components, out of which k (k < n) need to function.…”

Section: Criticalitymentioning

confidence: 99%

System-oriented inventory models for spare parts

Basten

Houtum

2014

Surveys in Operations Research and Management Science

125

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“…They function immediately once upon a sensory data is available; otherwise the result of this unavailability is catastrophic. Various approaches have been introduced in literature to compute the availability of mout-of-n systems by considering different techniques and different scenarios of failures [12]- [17], [21]. The novelty of this work is to use Markov process for modeling the availability of PHmn system and calculating related equations by applying the steady state condition.…”

Section: Nomenclature Nmentioning

confidence: 99%