k-out-of-n system with repair: the max(N,T) policy

Ushakumari, P. V.; Krishnamoorthy, A.

doi:10.1016/j.peva.2003.10.006

Cited by 20 publications

(7 citation statements)

References 15 publications

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“…Pham and Wang proposed a time‐based opportunistic maintenance policy named as ( τ , T ) maintenance policy, where τ and T indicate the minimal and perfect repair times, respectively. Krishnamoorthy et al ., Krishnamoorthy and Rekha, Ushakumari and Krishnamoorthy, and Qi et al . proposed maintenance policies based on the number of failed components, fix time intervals, and combination of time interval and number of failed components.…”

Section: Literature Reviewmentioning

confidence: 99%

A Joint Reliability and Imperfect Opportunistic Maintenance Optimization for a Multi‐State Weighted k‐out‐of‐n System Considering Economic Dependence and Periodic Inspection

Atashgar

Abdollahzadeh

2017

Quality & Reliability Eng

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This paper formulates a model to simultaneously optimize the redundancy and imperfect opportunistic maintenance of a multi‐state weighted k‐out‐of‐n system. Different from existing approaches that consider binary or multi‐state elements, our approach considers modular redundancy in which each module/subsystem is composed of several multi‐state components in series. The status of each component is considered to degrade with use. Therefore, a new condition‐based opportunistic maintenance approach using three different thresholds for a component health state is developed. The objective is to determine 1) the minimal‐cost of k‐out‐of‐n system structure, 2) optimal imperfect opportunistic maintenance strategy, 3) optimal maintenance capacity, and 4) optimal inspection interval subject to an availability constraint. System availability is defined as the ability to satisfy consumer demand. Based on the three‐phase approach, a simulation procedure is used to evaluate the expected multi‐state system availability and life cycle costs. Also, a multi‐seed Tabu search heuristic algorithm with a proper neighborhood generation mechanism is proposed to solve the formulated problem. An application to the optimal design of a wind farm is provided to illustrate the proposed approach. Sensitivity analysis is conducted to discuss the influence of the different parameters of the simulation model. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Literature Reviewmentioning

confidence: 99%

A Joint Reliability and Imperfect Opportunistic Maintenance Optimization for a Multi‐State Weighted k‐out‐of‐n System Considering Economic Dependence and Periodic Inspection

Atashgar

Abdollahzadeh

2017

Quality & Reliability Eng

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“…she returns early if enough work has accumulated. In [128] the server returns at the later of these two times, i.e. she extends her vacation if there is not much work waiting.…”

Section: Server Availabilitymentioning

confidence: 99%

“…The maximization of the average machine availability is the objective in [102], whereas [54] seek to maximize the expected discounted total availability. Papers that considered k-outof-n:G (or k-out-of-n:F) systems, such as [15], [41], [44], [73], [87], [89], [90], [105], [123], [128], and [143], tend to focus on the reliability of the overall system, e.g. the probability of having at least k machines functioning, though they implement this in different ways.…”

Section: Performance Measures and Optimisationmentioning

confidence: 99%

A survey of the machine interference problem

Haque¹,

Armstrong

2007

European Journal of Operational Research

136

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“…Pham and Wang [12] proposed a time based opportunistic maintenance policy named as ( , ) maintenance policy, where and indicate the minimal and perfect repair times, respectively. Krishnamoorthy and Ushakumari [13], Krishnamoorthy et al [14], Krishnamoorthy and Rekha [15] and Ushakumari and Krishnamoorthy [16], Qi et al [17] proposed maintenance policies based on the number of failed components, fix time intervals, and combination of time interval and number of failed components. Ding and Tian [18] reported an opportunistic maintenance policy based on the component's age threshold.…”

Section: Introductionmentioning

confidence: 99%

Wind Power Performance Optimization Considering Redundancy and Opportunistic Maintenance

Sangroudi¹

2018

mendel

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In This paper the redundancy and imperfect opportunistic maintenance optimization of a multi-state weighted k-out-of-n system is formulated. The objective is to determine the k-out-of-n system redundancy level and the maintenance strategy which will minimize the wind farm life cycle cost subject to an availability constraint. A new condition based opportunistic maintenance approach is developed. Different component health state thresholds are introduced for imperfect maintenance of failed subsystems and working subsystems and preventive dispatching of maintenance teams. In addition, a simulation method is developed to evaluate the performance measures of the system considering different types of subsystems, maintenance activation delays and durations, limited number of maintenance teams, and discrete inspection of the system. Also, a multi-seed tabu search heuristic algorithm is also proposed to solve the formulated problem. An application to the optimal design of a wind farm is provided to illustrate the proposed approach.

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k-out-of-n system with repair: the max(N,T) policy

Cited by 20 publications

References 15 publications

A Joint Reliability and Imperfect Opportunistic Maintenance Optimization for a Multi‐State Weighted k‐out‐of‐n System Considering Economic Dependence and Periodic Inspection

A Joint Reliability and Imperfect Opportunistic Maintenance Optimization for a Multi‐State Weighted k‐out‐of‐n System Considering Economic Dependence and Periodic Inspection

A survey of the machine interference problem

Wind Power Performance Optimization Considering Redundancy and Opportunistic Maintenance

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