• Title/Summary/Keyword: non-renewing warranty

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Preventive maintenance model following the expiration of NFRRW (비재생무료교체-수리보증이 종료된 이후의 예방보전모형)

  • Jung, Ki-Mun
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.4
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    • pp.775-784
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    • 2011
  • In this paper, we consider the periodic preventive maintenance model for repairable system following the expiration of non-renewing free replacement-repair warranty (NFRRW). Under this preventive maintenance model, we derive the expressions for the expected cycle length, the expected total cost and the expected cost rate per unit time. Also, we determine the optimal preventive maintenance period and the optimal preventive maintenance number by minimizing the expected cost rate per unit time. Finally, the optimal periodic preventive maintenance policy is given for Weibull distribution case.

최적의 베이즈 교체정책 : 비재생보증인 경우

  • Jeong, Gi-Mun;Han, Seong-Sil;Gwon, Yeong-Seop
    • 한국데이터정보과학회:학술대회논문집
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    • 2001.10a
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    • pp.34-41
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    • 2001
  • 본 논문에서는 비재생보증을 갖는 수리 가능한 시스템에 대한 베이즈 관점에서의 최적의 교체정책을 제안한다. 비재생무료보증(non-renewing free-replacement warranty : NFRW)과 비재생비례보증(non-renewing pro-rata warranty : NPRW)의 두 가지 경우에 대하여 각각 기스템의 고장시간이 와이블분포일 때 베이즈 관점에서의 단위시간당 기대비용을 최소화하는 최적의 교체정책과 순응적 교체정책에 대하여 설명한다.

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Two stage maintenance policy under non-renewing warranty (비재생보증 하에서의 이단계 보전정책)

  • Jung, Ki Mun
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.6
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    • pp.1557-1564
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    • 2016
  • Recently, an extended warranty of a system following the expiration of the basic warranty is becoming increasingly popular to the user. In this respect, we suggest a two stage maintenance policy under the non-renewing warranty from the user's point of view in this paper. In the first stage, the user has to decide whether or not to purchase the extended warranty period. And, in the second stage, the optimal replacement period following the expiration of the warranty is determined. Under the extended warranty, the failed system is minimally repaired by the manufacturer at no cost to the user. We utilize the expected cost from the user's perspective to determine the optimal two stage maintenance policy. Finally, a few numerical examples are given for illustrative purpose.

Replacement Model Based on Cost and Downtime

  • Jung, Ki-Mun;Han, Sung-Sil;Lim, Jae-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.889-901
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    • 2003
  • In this paper, we consider the optimal replacement policies following the expiration of the combination warranty. The combination warranty can be divided into the renewing combination warranty and the non-renewing combination warranty. The criterion used to determine the optimal replacement period is the overall value function based on the expected cost and the expected downtime. Thus, we obtain the expected cost rate per unit time and the expected downtime per unit time for our model. And then the overall value function suggested by Jiagn and Ji(2002) is applied to obtain the optimal replacement period. The numerical examples are presented for illustrative purpose.

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Periodic PM Policy for Repairable System with RCW or NCW

  • Jung, Gi-Mum;Kim, Dae-Kyung;Park, Dong-Ho
    • International Journal of Reliability and Applications
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    • v.3 no.3
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    • pp.113-124
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    • 2002
  • This paper suggests the optimal periodic preventive maintenance policies after the combination warranty is expired. After the combination warranty is expired, a repairable system undergoes PM periodically and is minimally repaired at each failure. And also the system is replaced by a new system at the N th PM. In this case, we derive the mathematical formula for the expected cost rate per unit time. The optimal number and period for the periodic PM that minimize the expected cost rate per unit time are obtained. Some numerical examples are presented for illustrate purpose.

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A Bayesian approach to maintenance strategy for non-renewing free replacement-repair warranty

  • Jung, K.M.
    • International Journal of Reliability and Applications
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    • v.12 no.1
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    • pp.41-48
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    • 2011
  • This paper considers the maintenance model suggested by Jung and Park (2010) to adopt the Bayesian approach and obtain an optimal replacement policy following the expiration of NFRRW. As the criteria to determine the optimal maintenance period, we use the expected cost during the life cycle of the system. When the failure times are assumed to follow a Weibull distribution with unknown parameters, we propose an optimal maintenance policy based on the Bayesian approach. Also, we describe the revision of uncertainty about parameters in the light of data observed. Some numerical examples are presented for illustrative purpose.

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Optimization of Improvement Level for Second-Hand Product with Periodic Maintenance Schedule (주기적인 유지보수 계획에 따른 중고제품에 대한 최적 향상수준)

  • Kim, Dae-Kyung;Kim, Jin Woo;Park, Dong Ho
    • The Korean Journal of Applied Statistics
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    • v.26 no.1
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    • pp.151-162
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    • 2013
  • Due to a growing demand for the second-hand product, especially for the expensive one, the warranty and maintenance policies for such products have been studied to improve the product reliability of late. In this paper we study a periodic maintenance model for the second-hand product which is purchased by the customer at the age of $x$. When purchased, the dealer provides a warranty of a fixed length during which the product is maintained periodically to reduce the failure rate of the product and thus, to improve the reliability after each maintenance is served. If a failure occurs between two successive maintenances, only minimal repair is conducted. As for the warranty policy, we adopt free non-renewing repair action on each failure, in addition to the periodic maintenance service during the warranty period. Thus, under the given warranty policy, all the maintenance and repair costs incurred during the warranty period are charged to the dealer. For the proposed periodic maintenance scheme, we formulate a cost model to evaluate the expected total cost charged to the dealer during the warranty period and derive an optimal upgrade level of the failure rate at each maintenance to minimize the expected total warranty cost from the perspective of the dealer. We also present numerical results for an optimal upgrade level based on the proposed methods.