Two Criteria for Preventive Maintenance

Chan, Ply; Downs, T.

doi:10.1109/tr.1978.5220367

Cited by 46 publications

(18 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In literature, there are many contributions on imperfect maintenance, and, at the same time, worse and worst maintenance were studied, for example, by Kay [28], Nakagawa and Yasui [29] and Chan and Downs [30], which considered a kind of preventive maintenance causing the failure of the maintained equipment.…”

Section: The "New" Maintenance Classification and Imperfect Maintenancementioning

confidence: 99%

“…The first interest in imperfect maintenance dates back to the second part of 1970s thanks to researchers like Kay [28], Ingle and Siewiorek [31], Chaudhuri and Sahu [32], Chan and Downs [30] and Nakagawa [33]. In particular: Figure 3.…”

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

“…• Chan and Downs [30] presented two criteria for preventive maintenance analysis (the maximization of the steady-state availability and the minimization of the expected maintenance cost per unit time under specific assumptions). The authors suggested a state transition diagram to represent preventive maintenance, considering a probability p of not restoring the component in an AGAN condition but in a failed state (worst preventive maintenance) [30].…”

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

“…The authors suggested a state transition diagram to represent preventive maintenance, considering a probability p of not restoring the component in an AGAN condition but in a failed state (worst preventive maintenance) [30].…”

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Imperfect Maintenance Models, from Theory to Practice

Carlo¹,

Arleo²

2017

System Reliability

View full text Add to dashboard Cite

The role of maintenance in the industrial environment changed a lot in recent years, and today, it is a key function for long-term profitability in an organization. Many contributions were recently written by researchers on this topic. A lot of models were proposed to optimize maintenance activities while ensuring availability and high-quality requirements. In addition to the well-known classification of maintenance activities-preventive and corrective-in the last decades, a new classification emerged in the literature regarding the degree of system restoration after maintenance actions. Among them, the imperfect maintenance is one of the most studied maintenance types: it is defined as an action after which the system lies in a state somewhere between an "as good as new" state and its pre-maintenance condition "as bad as old." Most of the industrial companies usually operate with imperfect maintenance actions, even if the awareness in actual industrial context is limited. On the practical definition side, in particular, there are some real situations of imperfect maintenance: three main specific cases were identified, both from literature analysis and from experience. Considering these three implementations of imperfect maintenance actions and the main models proposed in the literature, we illustrate how to identify the most suitable model for each real case.

show abstract

Section: The "New" Maintenance Classification and Imperfect Maintenancementioning

confidence: 99%

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

Section: Imperfect Maintenance Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Imperfect Maintenance Models, from Theory to Practice

Carlo¹,

Arleo²

2017

System Reliability

View full text Add to dashboard Cite

show abstract

“…maintenances are imperfect. Some imperfect PM models have been considered in Nakagawa (2005Nakagawa ( , 2007, Wang and Pham (2003), Chan and Downs (1978), Murthy and Nguyen (1981) and Brown and Proschan (1983). In some practical situations, it may be more economical to work a used system than do a new one.…”

Section: Introductionmentioning

confidence: 99%

Optimal imperfect preventive maintenance policies for a used system

Zhao

Nakagawa

Qian

2012

International Journal of Systems Science

View full text Add to dashboard Cite

In some practical situations, it may be more economical to work a used system than do a new one. From this viewpoint, this article considers three basic preventive maintenance (PM) policies for a used system: the system with initial variable damage Y 0 begins to operate at time 0, and suffers damage due to shocks. It fails when the total damage exceeds a failure level K and corrective maintenance is made immediately. To prevent such failure, it undergoes PM at a planned time T, a shock number N and a damage level k, but maintenances are imperfect. However, failure rate of a used system maybe higher than that of a new one, so some maintenance is applied to the policies at each shock in the extended models. Using the theory of cumulative processes, expected cost rate models are obtained, optimal policies which minimise them are derived analytically and discussed numerically.

show abstract

Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime

Jayabalan

Chaudhuri

1992

Naval Research Logistics

View full text Add to dashboard Cite

The problem of imperfect preventive maintenance (pm) and replacement schedule for a system which works below a specified failure rate is studied. For a given planning period, the optimal schedule for replacements to minimize the total cost is obtained. This article presents a branching algorithm with effective dominance rules to obtain the optimal schedule. Numerical illustration and computational experience are also presented.

show abstract

Two Criteria for Preventive Maintenance

Cited by 46 publications

References 2 publications

Imperfect Maintenance Models, from Theory to Practice

Imperfect Maintenance Models, from Theory to Practice

Optimal imperfect preventive maintenance policies for a used system

Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime

Contact Info

Product

Resources

About