A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms

Zhong, Shuya; Pantelous, Athanasios A.; Goh, Mark; Zhou, Jian

doi:10.1016/j.ymssp.2019.02.012

Cited by 83 publications

(33 citation statements)

References 66 publications

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“…The authors in [174] proposed a new multi-objective nonlinear model for preventive maintenance scheduling for offshore wind farms. [199] Miscellaneous 3 Randomly Generated MOPSO [197] 2 Problem instances are developed MOPSO Here, NSGA-II was implemented to obtain the trade-off between two conflicting objectives, maximum utilization, and minimum costs.…”

Section: D) Scheduling Problemmentioning

confidence: 99%

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

2021

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This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz. assignment problem, allocation problem, travelling salesman problem, vehicle routing problem, scheduling problem, and knapsack problem. It is identified that based on the manner in which NSGA-II has been implemented for solving the aforementioned group of problems, there can be three categories: Conventional NSGA-II, where the authors have implemented the basic version of NSGA-II, without making any changes in the operators; the second one is Modified NSGA-II, where the researchers have implemented NSGA-II after making some changes into it and finally, Hybrid NSGA-II variants, where the researchers have hybridized the conventional and modified NSGA-II with some other technique. The article analyses the modifications in NSGA-II and also discusses the various performance assessment techniques used by the researchers, i.e., test instances, performance metrics, statistical tests, case studies, benchmarking with other state-of-the-art algorithms. Additionally, the paper also provides a brief bibliometric analysis based on the work done in this study.

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Section: D) Scheduling Problemmentioning

confidence: 99%

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

2021

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“…Given the effectiveness of the operational law in Zhou et al (2016), it has been gradually employed to dispose of sorts of optimization problems. For example, Zhong et al (2019) devised a two-phase approach by integrating the operational law in Zhou et al (2016) into a genetic algorithm to handle with the preventive maintenance scheduling problem. Yang et al (2019) developed an improved method to tackle a fuzzy facility location problem by using the operational law proposed in Zhou et al (2016).…”

Section: Introductionmentioning

confidence: 99%

An Extensive Operational Law for Monotone Functions of LR Fuzzy Intervals with Applications to Fuzzy Optimization

Zhao

Han

Zhou

2021

Preprint

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The operational law put forward by Zhou et al. on strictly monotone functions with regard to regular LR fuzzy numbers makes a valuable push to the development of fuzzy set theory. However, its applicable conditions are confined to strictly monotone functions and regular LR fuzzy numbers, which restricts its application in practice to a certain degree. In this paper, we propose an extensive operational law that generalizes the one proposed by Zhou et al. to apply to monotone (but not necessarily strictly monotone) functions with regard to regular LR fuzzy intervals (LR-FIs), of which regular fuzzy numbers can be regarded as particular cases. By means of the extensive operational law, the inverse credibility distributions (ICDs) of monotone functions regarding regular LR-FIs can be calculated efficiently and effectively. Moreover, the extensive operational law has a wider range of applications, which can deal with the situations hard to be handled by the original operational law. Subsequently, based on the extensive operational law, the computational formulae for expected values (EVs) of LR-FIs and monotone functions with regard to regular LR-FIs are presented. Furthermore, the proposed operational law is also applied to dispose fuzzy optimization problems with regular LR-FIs, for which a solution strategy is provided, where the fuzzy programming is converted to a deterministic equivalent first and then a newly-devised solution algorithm is utilized. Finally, the proposed solution strategy is applied to a purchasing planning problem, whose performances are evaluated by comparing with the traditional fuzzy simulation-based genetic algorithm. Experimental results indicate that our method is much more efficient, yielding high-quality solutions within a short time.

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“…al. 2014); lack of personnel (Safaei et al, 2011;George-Williams and Patelli 2017); short-term financial constraints (Litzka and Weninger-Vycudil, 2012); unpredictable events (Liu et al, 2018;Zhong et al, 2019;Finkelstein et al, 2020); maintenance time-constraints (Irawan, 2017;Yang et al, 2017); system mission-constraints (Khatab et. al.…”

Section: Introductionmentioning

confidence: 99%

Preventive replacement with defaulting

Alotaibi

Cavalcante

Lopes

et al. 2020

IMA Journal of Management Mathematics

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This paper models age replacement and block replacement when there is the possibility of defaulting on the planned maintenance. A default occurs when a planned preventive replacement is not executed, and we discuss how defaults can arise in practice. Our aim is to study the robustness of block replacement and age replacement, bearing in mind that (a) these policies are frequently used in practice, (b) in the standard scenario (no defaulting) age replacement has a lower economic cost rate than block-replacement and (c) block replacement is simple to manage because component age does not have to be monitored. We model defaults as independent Bernoulli trials. We prove that a cost-minimizing critical age for replacement in the age policy with defaulting exists if the time to failure distribution has an increasing failure rate. A numerical study of the policies indicates that: age replacement is effective if maintenance control is good, that is, when there is only a small chance of defaulting; block replacement is relatively robust to defaulting (postponement), but less so to lack of knowledge about component reliability.

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A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms

Cited by 83 publications

References 66 publications

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

An Extensive Operational Law for Monotone Functions of LR Fuzzy Intervals with Applications to Fuzzy Optimization

Preventive replacement with defaulting

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