Determining the Optimum Schedule for Preventive Maintenance

Dodson, Bryan

doi:10.1080/08982119408918757

Cited by 26 publications

(19 citation statements)

References 1 publication

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“…The above problem has been previously addressed in the literature, and detailed routines under various distributional assumptions have been developed [refer, for example, to Brick, Michael, and Morganstein ( 1989)) Dodson ( 1994)) or any basic text on reliability or operations management, like Nahmias ( 1993)]. A typical solution procedure requires three stages: ( 1) identifying the TTF distribution by some explorative techniques, followed by goodness-of-fit significance testing, (2) estimating the parameters of the selected distribution, and (3 ) solving for the optimal To*.…”

Section: Introductionmentioning

confidence: 99%

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Optimum Schedule for Preventive Maintenance: A General Solution for a Partially Specified Time‐to‐failure Distribution

Shore

1996

Production and Operations Management

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The classic problem of determining an optimum schedule for preventive maintenance when the time‐to‐failure (TTF) is random has been previously addressed in the literature under various distributional assumptions. However, no general solution that requires only partial distributional information (in the form of the first few moments) has been suggested. In this paper we develop solution procedures characterized by four features: (1) The solutions are general in the sense that only the first few moments of the TTF distribution need to be specified. (2) The optimal solution is given explicitly in terms of the decision variables, thus allowing simple sensitivity analysis. (3) When the TTF moments are unknown, a new two‐moment (partial and complete) distributional fitting procedure, used in the solution routine, ensures a better representation for the underlying TTF distribution relative to three‐moment or four‐moment distributional fitting. (4) When the TTF observations are truncated, simple routines to calculate maximum likelihood estimates are developed. We demonstrate that the partiál distributional specification, required for the new solution procedures, does not detract meaningfully from the optimality of the solution.

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Section: Introductionmentioning

confidence: 99%

“…The problem is even more exacerbated when data are truncated, and maximum likelihood estimates have to be employed. Dodson ( 1994), for example, presents a detailed procedure when the TTF follows a Weibull distribution and data are truncated. However, the detailed procedure relies heavily on the validity of the Weibull assumption.…”

Section: Introductionmentioning

confidence: 99%

Optimum Schedule for Preventive Maintenance: A General Solution for a Partially Specified Time‐to‐failure Distribution

Shore

1996

Production and Operations Management

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“…There are several systematic and operational issues that could lead to the asset early failure. In general, inappropriate installation, improper operation and maintenance, overstressed components, inadequate quality control, poor materials, handling damage, and power surges have been indicated as potential reasons for early failures . Further analysis of the operation and maintenance strategies of these engines revealed that inappropriate operation and maintenance regimes are a major contributor to early failures and low reliability of these assets.…”

Section: Resultsmentioning

confidence: 99%

Reliability modelling with redundancy—A case study of power generation engines in a wastewater treatment plant

Jolfaei

Jin

Linden

et al. 2019

Quality & Reliability Eng

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Power generators are critical assets in wastewater treatment plants (WWTPs) in Australia and many countries. Better managing the lifetime, minimising failures, improving reliability and availability, and reducing operating and maintenance costs of the power generation assets are still challenging topics for water utilities. This case study aims to develop power generation system reliability and availability modelling considering redundancy to minimise operation and maintenance costs. The two‐parameter Weibull model was used to assess system reliability and availability to power generation engines in WWTPs. The Kaplan‐Meier method (a time‐driven estimation technique) and the log beta‐Weibull model (which is suitable for modelling censored and uncensored data) were used to analyse and validate the modelling results. Shape and scale parameters of the Weibull models were estimated by maximising the log‐likelihood function using non‐linear optimisation. Hazard and reliability functions were calculated using the Weibull model. Results using two‐parameter Weibull, Kaplan‐Meier, and log beta‐Weibull models display low reliability and high hazard rate over time, which was associated with spark plug failure due to a suboptimal start and stop operation strategy.

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“…Repairs of broken down machines are also expensive [7], because the breakdowns consume resources; manpower, spare parts, and even lose of production [8]. Consequently, the repair costs become an important component of the total machine ownership costs [9].…”

Section: Introductionmentioning

confidence: 99%

Causes of Tractor Breakdowns and Requisite Solutions a Case Study of Small Tractor Use in Riau Province, Indonesia

Paman

Uchida

Inaba

et al. 2017

AJSTD

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A survey has been undertaken to look into the causes of tractor breakdowns on field operations and the main constraints associated with repair and maintenance, and to recommend a solution to the problems in Riau Province. The owners of sixty-two small tractors were interviewed, from three regencies chosen of the Province in 2003. As a result, the working capacity of the tractors was relatively high and the average annual use was relatively low compared to the national average. Most tractor operators did not have sufficient skill to operate tractors. The tractor breakdowns resulted from operators' mistakes, fuel and oil defilement, rough field conditions, poor maintenance, intense use, and factory design. Inadequate repair shops, a lack of spare parts, and a shortage of mechanics in the local vicinity were the main factors curbing tractor repair. It was also found that inadequate finances led many farmers to ignore tractor maintenance. These suggest that tractor operators should be well trained and tractor-supporting facilities should be provided in rural areas. A mechanical extension officer and credit options should be made available for farmers.

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Determining the Optimum Schedule for Preventive Maintenance

Cited by 26 publications

References 1 publication

Optimum Schedule for Preventive Maintenance: A General Solution for a Partially Specified Time‐to‐failure Distribution

Optimum Schedule for Preventive Maintenance: A General Solution for a Partially Specified Time‐to‐failure Distribution

Reliability modelling with redundancy—A case study of power generation engines in a wastewater treatment plant

Causes of Tractor Breakdowns and Requisite Solutions a Case Study of Small Tractor Use in Riau Province, Indonesia

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