Optimal age-replacement policy of a system subject to shocks with random lead-time

Sheu, Shey‐Huei; Chien, Yu‐Hung

doi:10.1016/s0377-2217(03)00409-0

Cited by 75 publications

(27 citation statements)

References 36 publications

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“…In which, the maintenance work includes minor maintenance, and the delivery time of spare parts ordering is random. Sheu et al [15] studied the age replacement policy like document [14] for single equipment system, which includes impact deterioration system. Alenka [1] studied the joint optimization problem of periodic batch replacement and periodic spare procurement.…”

Section: Introductionmentioning

confidence: 99%

Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy

Wang¹,

Zhao²,

Cheng³

et al. 2015

EiN

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Integrated decIsIon on spare parts orderIng and equIpment maIntenance under condItIon based maIntenance strategy ZIntegrowany system decyZyjny dotycZący ZamawIanIa cZęścI ZamIennych I utrZymanIa ruchu urZądZeń w ramach strategII utrZymanIa Zależnej od bIeżącego stanu technIcZnego WAng Y, ZhAo J, Cheng Z, YAng Z. Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy. eksploatacja i niezawodnosc -Maintenance and Reliability 2015; 17 (4): 591-599, http://dx

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Section: Introductionmentioning

confidence: 99%

Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy

Wang¹,

Zhao²,

Cheng³

et al. 2015

EiN

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show abstract

“…The component terms for various probabilities in (14) and (15) can be calculated using (1), (2), (5), (6), (7), (9), (10), and (13) and the minimization of the long-run expected cost per unit time is chosen as the objective of the proposed joint inspection-based PM and spare ordering policy and the decisions variables are the inspection interval and the value of . Clearly, the system will be restored to be as good as new after each replacement.…”

Section: Casementioning

confidence: 99%

“…Some works have investigated and presented the joint optimization model of preventive maintenance policy and spare ordering policy for single-unit systems. Most of the past studies modeled the age-based replacement policy and spare provisioning policy jointly; we can refer to Osaki and Yamada [11], Sheu and Griffith [12], Jhang [13], Sheu and Chien [14], and Sheu et al [15], Sheu et al [16]. In the proposed models of these works, only one spare is ordered at time 0, that is, the initial time of the system operation, and is delivered after a fixed or random lead time.…”

Section: Introductionmentioning

confidence: 99%

A Joint Inspection-Based Preventive Maintenance and Spare Ordering Optimization Policy Using a Three-Stage Failure Process

et al. 2017

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Separated decision-making for maintenance and spare ordering is unrealistic in the industry, so this paper aims to optimize them together. A joint policy of inspection-based preventive maintenance (PM) and spare ordering considering two modes of spare ordering, namely, a regular order and an emergency order, is proposed for single-unit systems using a three-stage failure process. If the system is recognized to be in the minor defective stage, the original inspection interval is shortened and a regular order is placed. However, replacement is undertaken preventively or correctively if the severe defective stage is identified or a failure occurs. Depending on the system state and the state of the regular ordered spare when replacement is needed, all possible scenarios are considered to construct optimization model I. The decision variables are the optimal inspection interval and the times of shortening the original inspection interval. Additionally, model II on the basis of an assumption that the spare is always ordered at time 0 is also developed. The results from a numerical example illustrated the applicability and the effectiveness of model compared to model II, and the irregular inspection policy is validated to be cost-saving compared to the regular inspection policy.

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“…In a recent work Sheu and Chien [7] deal with a generalized age-replacement model by means of the non-homogeneous Poisson process approach, extending previously maintenance models. In addition Sheu and Chien [7] provide a helpful survey on maintenance policies for revealed failures.…”

Section: Introductionmentioning

confidence: 99%

“…In addition Sheu and Chien [7] provide a helpful survey on maintenance policies for revealed failures.…”

Section: Introductionmentioning

confidence: 99%

Minimal repair model for systems under both unrevealed minor failures and unrevealed catastrophic failures

Badía¹,

Berrade²

2007

imf

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This paper considers an extension of the minimal repair model policy to be carried out when testing is needed to detect the failures of a system. It is assumed that the system is subject to both types of failures, unrevealed minor failures or unrevealed catastrophic ones. The inspection policy minimizing the expected cost per unit of time for an infinite time span is discussed. Mathematics Subject Classification: 90B25, 60K10

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Optimal age-replacement policy of a system subject to shocks with random lead-time

Cited by 75 publications

References 36 publications

Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy

Integrated decision on spare parts ordering and equipment maintenance under condition based maintenance strategy

A Joint Inspection-Based Preventive Maintenance and Spare Ordering Optimization Policy Using a Three-Stage Failure Process

Minimal repair model for systems under both unrevealed minor failures and unrevealed catastrophic failures

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