A bi‐objective optimization approach for the maintenance planning of networked systems

Li, Wanshan; Zhang, Chi

doi:10.1002/qre.2633

Cited by 7 publications

(5 citation statements)

References 43 publications

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“…We aim at the last type of model, but the bulk of research literature has only been found in the two first types (with static traffic flow modeling). From the coarse models we have not found any applicable modeling inspiration apart from Li and Zhang (2020) which use different time scales for track works and link status. This is an idea that could be applied to our case for upgrade projects and traffic flow.…”

Section: Literature Overviewmentioning

confidence: 99%

An optimization model for renewal scheduling and traffic flow routing

Lidén¹,

Aronsson²

2021

Preprint

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This document is the third sub-report from the research project SATT (Samplanering av trafikpåverkande åtgärder och trafikflöden, modellstudie / Coordinated planning of temporary capacity restrictions and traffic flows, model study). The report summarizes the modelling alternatives that have been considered. The main result of the model study is that we propose a bi-level approach for handling the two parts of the problem, i.e. the scheduling of renewal projects and the subsequent adjustments of railway traffic flow. The contributions are: (1) a mixed integer formulation for scheduling project tasks, and (2) a network flow formulation for establishing the possible volumes of railway traffic during the imposed capacity restrictions of these project tasks. The intended usage of the model is for economical planning of a specific production year, which takes place before the timetabling process starts. This document introduces the problem and gives a full description of (1) along with results from computational experiments that have been conducted with this model. An accompanying report gives the details of the final formulation of (2).

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Section: Literature Overviewmentioning

confidence: 99%

An optimization model for renewal scheduling and traffic flow routing

Lidén¹,

Aronsson²

2021

Preprint

View full text Add to dashboard Cite

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“…Many studies chose an NHPP with a Weibull power law intensity function because of its flexibility in terms of describing all of the reliability patterns in the system life phase. 14,15 Along with deterioration of the system, the system can experience failure at any time and will begin to produce defective products at a certain level. In other words, the quality of the product (yield rate) is related to the deterioration of the system.…”

Section: Introductionmentioning

confidence: 99%

“…The deterioration of a system can be described using stochastic models. Many studies chose an NHPP with a Weibull power law intensity function because of its flexibility in terms of describing all of the reliability patterns in the system life phase 14,15 . Along with deterioration of the system, the system can experience failure at any time and will begin to produce defective products at a certain level.…”

Section: Introductionmentioning

confidence: 99%

Condition‐based preventive maintenance with a yield rate threshold for deteriorating repairable systems

Huang

Fang

Wijaya

2022

Quality & Reliability Eng

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Repairable systems deteriorate with age and usage. In order to maintain acceptable reliability and prevent sudden failures, preventive maintenance (PM) is often applied to such systems. Scheduled PM actions can improve system availability and minimize losses due to breakdowns and failures. However, condition‐based PM is considered more relevant to system status than age‐based PM for deteriorating repairable systems. In this study, we consider the production yield rate as the condition variable when determining the optimal PM schedule. A non‐homogeneous Poisson process is used to describe the system deterioration, and the concept of system effective (virtual) age is also considered to make the proposed model more realistic. Three different condition‐based PM strategies are presented to provide more diverse choices for decision makers in terms of solving problems based on the situation at hand. The results show that the optimal yield rate threshold can reduce system failure while maintaining acceptable system availability and product quality with affordable costs due to a proper PM schedule. Furthermore, the results of the numerical application showed that the maintenance and penalty costs are the most sensitive to the total cost, where the adoption of the proposed PM strategies are more profitable when related costs are low.

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“…These update strategies are expected to assist industries to obtain the right balance between increasing availability, reliability, profit and revenues and decreasing breakdowns and maintenance costs 10 . Moreover, intensive maintenance activities could enhance asset reliability while increasing maintenance costs 11 . Optimising the asset maintenance schedule to maximise reliability and minimise maintenance costs is an essential and important research interest for water industries.…”

Section: Introductionmentioning

confidence: 99%

A reliability‐cost optimisation model for maintenance scheduling of wastewater treatment's power generation engines

Jolfaei

Jin

Linden

et al. 2021

Quality & Reliability Eng

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Power generation engines in wastewater treatment plants (WWTPs) are critical and strategic assets as major elements of an effective energy management system. Therefore, water utilities seek a smart tool to optimise the maintenance program on overall cost and reliability of these assets. In the previous study, a reliability model with consideration of redundancy was developed to estimate failure modes, reliability and availability of power generation engines in a WWTP. This study examines a joint model of reliability index using the Weibull model, operating maintenance cost using the steepest descent method and quasi‐Newton algorithm. This research is the first application of this joint model to power generation engines in WWTPs. A genetic algorithm has been employed to analyse and validate the modelling results as a global optimisation method. Results of the optimal solution are compared with conventional maintenance regimes of these engines based on recommended original equipment manufacturer (OEM). Results show an average of 22.3% reduction in maintenance costs of three engines after the implementation of the proposed cost‐optimization model. In addition, the manufacturer's recommended maintenance regime is not an appropriate maintenance strategy due to differences between the assumed and actual operating conditions. Also, hazard and reliability estimate using historical failure, operating and maintenance cost data has been ignored in the recommended OEM maintenance strategy.

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A bi‐objective optimization approach for the maintenance planning of networked systems

Cited by 7 publications

References 43 publications

An optimization model for renewal scheduling and traffic flow routing

An optimization model for renewal scheduling and traffic flow routing

Condition‐based preventive maintenance with a yield rate threshold for deteriorating repairable systems

A reliability‐cost optimisation model for maintenance scheduling of wastewater treatment's power generation engines

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