Developments in delay time analysis for modelling plant maintenance

Christer, A. H.

doi:10.1057/palgrave.jors.2600837

Cited by 134 publications

(45 citation statements)

References 35 publications

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“…The idea of using more than one curve in this way is consistent with delay time modelling concepts which in turn are founded on P-F interval reliability theory [3]. A delay time model is based around the P-F curve where P is the point where a potential failure can be detected and F is where the functional failure occurs.…”

Section: Basis For Using Several Curvesmentioning

confidence: 83%

Managing uncertainty and updating parameters in electricity distribution asset condition based risk investment models

Black¹,

Howarth²,

Nicholson³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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This paper draws on several years of experience of developing condition based risk models at Northern Powergrid, examining how actual experience has influenced further model development in particular with regard to forecasting techniques and the updating of model parameters. Of special interest are the following aspects of our experience: degradation forecast error; unforeseen effects on asset condition; parameter uncertainty. We conclude that, models developed at Northern Powergrid provide useful investment decision support in the production of robust business plans as long as the model limitations are fully understood and managed.

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Section: Basis For Using Several Curvesmentioning

confidence: 83%

Managing uncertainty and updating parameters in electricity distribution asset condition based risk investment models

Black¹,

Howarth²,

Nicholson³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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“…We suggest that maintenance crew has to keep the filter as the inventory control stock and change it at least once in every six months. Further analysis on delay time modeling introduced by [16] could help to provide better preventive maintenance strategies for machines, G and B. iv) Machine C (Coconut milk siever) fall in matrix, DMG 2,3 and subsequently, Machine M (Jetprinter and labels) falls in matrix, DMG 3,2 . Both fall in FTM's region.…”

Section: Examples and Resultsmentioning

confidence: 99%

An Application of Decision Making Grid to Improve Maintenance Strategies in Small and Medium Industries

Burhanuddin

Ahmad

Desa

2007

2007 2nd IEEE Conference on Industrial Electronics and Applications

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Competitive disadvantages for small and medium industries (SMI), in comparison with the larger ones, essentially result from the restricted personnel possibilities in the administrative and production departments and also the decreasing lot sizes to be fabricated in the productions with reference to a growing product range. Also less number of machines use in the SMI's, in comparison to the larger ones, which are always grouped together in serial lines. Therefore, it is important to well organize their maintenance structure individually to ensure the effectiveness of the entire production lines. In order to increase the effectiveness of the units, we studied some decision support systems (DSS) to maintain the equipment. Choosing and optimizing maintenance strategies is of formost importance in maintenance management. In this paper, we identified maintenance strategies to the machines based on 2 factors: the downtime and the frequency of machines failures with multiple criterions. We use decision making grid (DMG) model introduced by [1]. Next, maintenance management department can implement these strategies for their machines respectively. The case study is taken from the SMI's, one of the food processing company in West Malaysia. We have collected a dataset, conduct data analysis and provide few recommendations to the maintenance management.

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“…Recent state of art works, dedicated strictly to delay-time modelling are given in e.g. [7,8,36,37]. In the area of maintenance modelling of single-unit systems with the use of delay-time approach, one of the first developed works is [13].…”

Section: Abstract: Delay Time Block-based Maintenance Inspectionmentioning

confidence: 99%

“…The sensitivity analysis of the developed cost and availability modes is begun by analysing the expected number of performed maintenance actions (failures (equation (8), preventive replacements (equation (7), and inspection actions (equation (3) As we can see in the Figures 8-10, the expected number of performed inspection actions (Fig. 8) is inversely proportional to the rate of failure of the object due to the fact that only in the event of the object failure the renewal cycle does not end by inspection action performance.…”

Section: Sensitivity Analysis Of the Developed Availability And Cost mentioning

confidence: 99%

Development and sensitivity analysis of a technical object inspection model based on the delay-time concept use

Jodejko-Pietruczuk¹,

Werbińska-Wojciechowska²

2017

EiN

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Developments in delay time analysis for modelling plant maintenance

Cited by 134 publications

References 35 publications

Managing uncertainty and updating parameters in electricity distribution asset condition based risk investment models

Managing uncertainty and updating parameters in electricity distribution asset condition based risk investment models

An Application of Decision Making Grid to Improve Maintenance Strategies in Small and Medium Industries

Development and sensitivity analysis of a technical object inspection model based on the delay-time concept use

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