Renewable warranty policy for multiple-failure-mode product considering different maintenance options

Li, Xinyue; Jia, Yunyi; Wang, Peng; Zhao, Jiwen

doi:10.17531/ein.2015.4.10

Cited by 11 publications

(9 citation statements)

References 19 publications

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“…Further, the authors deduced equations for mean life and probability reliability function of predetermined maintained machine objects and equations for predictive maintenance optimization -equations (10), (12) and (14). Authors proof that preventive maintenance improves reliability.…”

Section: Resultsmentioning

confidence: 97%

“…Authors proof that preventive maintenance improves reliability. From equation (14) it is clear that mean life of preventive predetermined…”

Section: Resultsmentioning

confidence: 99%

“…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.…”

Section: Introduction and Literature Surveymentioning

confidence: 99%

“…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.…”

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confidence: 99%

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Preventive maintenance models – higher operational reliability

Legát

Mošna

Aleš

et al. 2016

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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: Resultsmentioning

confidence: 97%

“…Authors proof that preventive maintenance improves reliability. From equation (14) it is clear that mean life of preventive predetermined…”

Section: Resultsmentioning

confidence: 99%

Section: Introduction and Literature Surveymentioning

confidence: 99%

mentioning

confidence: 99%

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Preventive maintenance models – higher operational reliability

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Aleš

et al. 2016

EiN

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“…The stochastic process model is related to models of repairable systems in the reliability and maintainability literature [1,26,28]. The widely used stochastic process models for repairable systems are the Poisson process, the renewal process (RP), the generalized renewal process (GRP) and the nonhomogeneous Poisson process (NHPP) [4,11,26]. The renewal process is commonly used if all the maintenance repairs are preventive maintenance, bringing the system to a ''good-as-new'' state each time (known as perfect repair).…”

Section: Introductionmentioning

confidence: 99%

Research on time-varying characteristics of testability index based on renewal process

Zhao¹,

Qiu²,

Liu³

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Optimal Upgrade Policy for Used Products Sold with Two‐dimensional Warranty

Wang

2016

Quality & Reliability Eng

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aIn this paper, a pre-sale upgrade model is developed for repairable used products sold with two-dimensional warranty policies. Two kinds of two-dimensional warranty regions are considered, that is, rectangular and L-shaped regions. The marginal approach is used to describe the effect of age and usage on product reliability by treating usage as a random function of age. The optimal upgrade policy is determined to minimize the dealer's total expected servicing cost which is the sum of upgrade cost and warranty servicing cost. Analytical properties of the optimal solutions are also investigated. Furthermore, a five-step approach is presented to design flexible warranty contracts with optimized upgrade policies for used products, which allow customers to choose the most suitable warranty plans among the available options offered by the dealer. Numerical example and sensitivity analysis are provided to demonstrate the proposed models. This study provides the dealers of used products with useful guidelines on designing flexible and optimized warranty contracts.

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Renewable warranty policy for multiple-failure-mode product considering different maintenance options

Abstract: Li X, JiA Y, WAng P, ZhAo J. Renewable warranty policy for multiple-failure-mode product considering different maintenance options. Eksploatacja i niezawodnosc -Maintenance and Reliability 2015; 17 (4): 551-560, http://dx

Cited by 11 publications

References 19 publications

Preventive maintenance models – higher operational reliability

Preventive maintenance models – higher operational reliability

Research on time-varying characteristics of testability index based on renewal process

Optimal Upgrade Policy for Used Products Sold with Two‐dimensional Warranty

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