Preventive maintenance optimization on the basis of operating data analysis

Vintr, Zdeněk; Holub, R.

doi:10.1109/rams.2003.1182022

Cited by 10 publications

(7 citation statements)

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“…These results suggest that the use of cost minimization paradigm for a reliability-based (probabilistic) PM optimization model does not yield practical results which may be used to fix an actual PM schedule for a process unit. It may be noted that deterministic models used traditionally for this purpose, however, suggests the existence of an optimal PM schedule (Vintr & Holub, 2003). Clearly, a better paradigm is needed for optimizing PM schedule within the framework of a reliabilitybased PM model.…”

Section: Cost Minimization Model Resultsmentioning

confidence: 99%

“…Deterministic models (Vintr & Holub, 2003) on preventive maintenance optimization have established minima in costs based on operating cost parameters (repair, maintenance and acquisition). The use of deterministic methods, however, does not provide information about potential risk that results in nonoptimal maintenance planning for process plants (Desjardins, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Maintenance optimization using probabilistic cost-benefit analysis

Ghosh

Roy

2009

Journal of Loss Prevention in the Process Industries

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Section: Cost Minimization Model Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maintenance optimization using probabilistic cost-benefit analysis

Ghosh

Roy

2009

Journal of Loss Prevention in the Process Industries

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“…Preventive vehicle maintenance consists of optimizing and scheduling frequent and preventive repairs, extending the lifetime of vehicles (Vintr & Holub, 2003).…”

Section: Adoption Of Vehicles Preventive Maintenancementioning

confidence: 99%

Contribution of Best Practices to Promote Sustainable Urban Freight Transport

Assis¹,

Abreu²,

Carneiro³

et al. 2021

revistageintec

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Urban logistics decision makers face serious challenges in trying to make urban freight transport (UFT) efficient and sustainable. Therefore, it is necessary to identify best practices (BPs) to promote improvements on activity levels, modal shifts to lower-carbon transport systems, lowering energy and intensity, and reducing fuel carbon intensity. This paper conducts an exhaustive literature review that seeks to identify that are directly applicable to BPs promoting sustainable UFT and that indicate the opportunities and challenges of urban logistics. The results indicate that, although BPs make sense for themselves, the most powerful effect occurs when two or more of them are used together, multiplying their strengths. Furthermore, there is an expressive participation of environmental and economic indicators (costs and service levels) to the detriment of social indicators, thus indicating a literary gap.

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“…In reference IEEE standard (1999), the safe train separation and typical safe braking model were introduced. In reference Vintr et al (2003), preventive maintenance optimization on the basis of operating data analysis was presented. In reference Military Standard (2005), Binomial distribution was introduced.…”

Section: Introductionmentioning

confidence: 99%

Reliability Calculation for Dormant k-out-of-n Systems with Periodic Maintenance

2016

Int J Math, Eng, Manag Sci

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In this paper, a dormant k-out-of-n systems redundancy calculation will be introduced. Dormant failure is a failure that cannot be detected when it occurs because of the nature of the failure characteristic. Therefore, a dormant failure becomes the blind point to the design for reliability and maintainability because of its inability to be detected. The most popular approach in detecting a dormant failure is to carry out a scheduled periodic inspection, test or maintenance activity. The scheduled periodic maintenance is applied to prevent and reduce the unexpected dormant failures that could lead to safety consequences, or costly corrective maintenance. This paper will introduce a methodology on how to calculate the reliability parameter such as Mean Time Between Failure (MTBF) for the dormant k-out-of-n redundant systems. The mathematical relationship between the effective MTBF and the scheduled periodic inspection/maintenance interval is also elaborated. Case studies are adopted to illustrate how to apply the developed reliability calculation methodology in the mass transit train reliability and safety design.

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Preventive maintenance optimization on the basis of operating data analysis

Cited by 10 publications

References 0 publications

Maintenance optimization using probabilistic cost-benefit analysis

Maintenance optimization using probabilistic cost-benefit analysis

Contribution of Best Practices to Promote Sustainable Urban Freight Transport

Reliability Calculation for Dormant k-out-of-n Systems with Periodic Maintenance

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