Contribution to optimization of preventive replacement

Legát, Václav; Žaludová, A.H.; Červenka, Vladimír; Jurča, V.

doi:10.1016/0951-8320(96)00124-x

Cited by 46 publications

(22 citation statements)

References 4 publications

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“…Therefore, the objective of this paper is to contribute to the optimization of predictive maintenance with a new simple semi-stochastic model. A further objective was to give maintenance staff evidence that preventive maintenance improves operational reliability based on a mathematical theory of reliability [1,20] and authors works [9,12,13]. Finally, all models are demonstrated using numerical simulation with a three parameters Weibull distribution supported by table processor Excel.…”

Section: Science and Technologymentioning

confidence: 99%

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Preventive maintenance models – higher operational reliability

Legát

Mošna

Aleš

et al. 2016

EiN

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Article citation info: Introduction and literature surveyMany maintenance strategies, policies and methods have been developed, which are aimed at making maintenance cheaper and more effective. Such programs have the minimization of costs, downtime and losses due to failure of critical objects of the equipment as their main objective. Cost minimization improves the effectiveness and profitability of the organization [1,2,9,12,13,20].For creation of the maintenance policies, well described data mining input is very important. [4].In recent years, useful models of preventive and predictive maintenance optimization with different complexity and applicability have been further developed.In the paper, [5] the authors proposed a quasi-periodic imperfect preventive maintenance policy. Finally, a real case study of preventive maintenance on Chinese diesel locomotives is examined to illustrate the proposed maintenance policy.The paper [6] proposes an approach in which preventive and failure replacement costs as well as inspection cost are taken into account to determine the optimal replacement policy and an age-based inspection scheme, such that the total average costs of replacements and inspections is minimized.Determination of the preventive effect of optimal replacement policies in the paper [8] is based on aging intensity and the cost ratio of failure and preventive replacements. One of its conclusions is that not every preventive maintenance is fully effective and a policy of, "run to failure" can be more effective (note: in some cases).The proposed model in the paper [10] takes into consideration the stochastic nature of equipment failures. The output from the model is a cost distribution against the time from which the minimum cost may be found for a particular period and this period is defined as the optimum lifespan of the machine part.The paper [11] considers periodic preventive maintenance policies for a deteriorating repairable system. On each failure, the system is repaired and, at the planned times, it is periodically maintained to improve its performance reliability. Most periodic preventive maintenance (PM) models for repairable systems have been studied assuming that the failure process between two PMs follows the nonhomogeneous Poisson process (NHPP), implying the minimal repair on each failure.The paper [14] regarding warranty policy considering three maintenance options for products with multiple failure modes also showed the broad usability of the Weibull distribution. This fact supports the decision of the authors to also use the Weibull function.The paper [15] presents a new mathematical function to model an improvement based on the ratio of maintenance and repair costs, and demonstrate how it outperforms fixed improvement factor models by analyzing the effectiveness in terms of cost and reliability of a system. Legát V, MošnA F, ALeš Z, JurčA V. Preventive maintenance models -higher operational reliability. eksploatacja i niezawodnosc - Maintenance and reliability 2017; 19 (1): 134-141, http://dx...

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Section: Science and Technologymentioning

confidence: 99%

“…Such programs have the minimization of costs, downtime and losses due to failure of critical objects of the equipment as their main objective. Cost minimization improves the effectiveness and profitability of the organization [1,2,9,12,13,20].For creation of the maintenance policies, well described data mining input is very important. [4].…”

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confidence: 99%

Preventive maintenance models – higher operational reliability

Legát

Mošna

Aleš

et al. 2016

EiN

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“…It may easily be obtained thanks to numerical methods for various probability distributions [10]. The vector of optimal times, where…”

Section: Age Replacement Policymentioning

confidence: 99%

“…If elements are independent, the best time interval between two preventive replacements may be obtained according to the well known formula of ARP [10], [16]. A modified expression taking into consideration the cost of the new element purchase is [9]:…”

Section: Age Replacement Policymentioning

confidence: 99%

Block Maintenance Policy of Multicomponent Systems with Economic Dependency

Jodejko¹

2008

Journal of Konbin

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Abstract. The article proposes a simple algorithm to define parameters of block maintenance policy of multi-unit systems composed of elements with economic dependency. The procedure may be used especially in the case when elements of a system are not identical in the sense of their probability characteristics and analytical solution is inaccessible.Keywords: block replacement policy, maintenance decision, economic dependency, availability Streszczenie: Opracowanie zawiera algorytm, który pozwala wyznaczyć parametry polityki wymian grupowych w systemie z zależnością ekonomiczną. Procedura ma zastosowanie w systemach o niejednorodnych elementach. Kryterium optymalizacji jest minimalizacja kosztów i maksymalizacja gotowości systemu.Słowa kluczowe: strategia wymian blokowych, decyzje obsługowe, zależność ekonomiczna, gotowość

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“…It was proved that both technically (Legát et al 1996;Edwards 2001) and practically (Jehlička 1997) an impact exists of the using time of the machines on the level of the realisation of the operational parameters. The impact is analysed in the article of the using time of selected agricultural machines and tractors on the residual market price, repairs costs, and annual use based on a selective statistic survey.…”

mentioning

confidence: 99%

Influence of using time of selected agricultural machines and tractors on residual market price, repair costs, and annual utilisation

Sailer¹,

Kavka²,

Kavka³

2008

Res. Agric. Eng.

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For each new machine designed operational parameters exist and the realisation of these parameters determines the ability to perform the operations which it is designed for. It was proved both technically and practically that there is an impact of the using time of machines on the level of realisation of the operational parameters. based on a selective the statistic survey, the impact is analysed in the article of the using time of selected agricultural machines and tractors on the residual market price, repair costs, and the trend of annual utilisation. The outcome is a functional dependency of decreased residual market price, the growth of repair costs, and the trend of annual utilisation. The changes are presented by means of the proportions to the designed parameters and the outcomes can be used for the calculation of operational costs of the machines.

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Contribution to optimization of preventive replacement

Cited by 46 publications

References 4 publications

Preventive maintenance models – higher operational reliability

Preventive maintenance models – higher operational reliability

Block Maintenance Policy of Multicomponent Systems with Economic Dependency

Influence of using time of selected agricultural machines and tractors on residual market price, repair costs, and annual utilisation

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