The use of fuzzy set modelling for maintenance planning in a manufacturing industry

Jones, B.; Jenkinson, Ian; Wang, J

doi:10.1243/09544089jpme267

Cited by 10 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the work of Yang, 8 a combination of FRB inference system and evidential reasoning (ER) is employed in risk assessment and control of basic events in container supply chain systems. Other relevance of the FRB method has been illustrated in the works of Jones et al 10 and Durga et al 11 The capability of the FRB in addressing maritime problems associated with uncertainty is not in doubt as evidenced in the literature above. These literature reviews justify the use of FRB method in combination with the UT method in FCR prediction of marine vessels.…”

Section: Introductionmentioning

confidence: 95%

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

Nwaoha

Ombor

Okwu

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

Prediction of fuel consumption rate level of a vessel per voyage posed to be a challenge under uncertainties. In such uncertain conditions, revealing of fuel consumption rate levels of the fleet of vessels is deemed imperative to ensure effective and efficient operations of the vessels per voyage. Therefore, development of uncertainty treatment model is necessary in this research. A combined algorithm that is made up of fuzzy rule base and utility theory methods is incorporated in the investigation of the fuel consumption rate levels of marine vessels. The mechanism of the algorithm is used to capture and combine all the important parameters that determine the fuel consumption rate level of each marine vessel. The workability of the model is demonstrated. The produced results revealed that the combined algorithm can support estimation of the fuel consumption rate levels of marine vessels and show which vessel is better than the other. Based on the results of this article, the management and crew of a marine vessel are equipped with the necessary decision support tool to optimize, implement and manage improvements on the performance characteristics and fuel consumption rate of their marine vessels during voyages.

show abstract

Section: Introductionmentioning

confidence: 95%

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

Nwaoha

Ombor

Okwu

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

show abstract

“…Although the definition of states by crisp sets is mathematically correct, in many cases it may be regarded as unrealistic in the face of unavoidable measurement errors. Fuzzy set theory has been applied in a variety of fields, including fuzzy CREAM methodology for HRA, ( 9 ) maritime security risk assessment, ( 10 ) port security risk assessment, ( 11 ) decision‐making problems, ( 12,13 ) facility site selection problems, ( 14 ) maintenance planning for the manufacturing industry, ( 15 ) human error assessment in port operations, ( 2 ) fuzzy HEP assessment in a robot drilling system, ( 16 ) and fuzzy HEP analysis in building performance. ( 17 ) In such studies, the use of linguistic variables provides flexible modeling of imprecise data and information.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Human Error Probability Assessment Using Fuzzy Modeling

Ung

Shen²

2010

Risk Analysis

View full text Add to dashboard Cite

Human error is one of the significant factors contributing to accidents. Traditional human error probability (HEP) studies based on fuzzy number concepts are one of the contributions addressing such a problem. It is particularly useful under circumstances where the lack of data exists. However, the degree of the discriminability of such studies may be questioned when applied under circumstances where experts have adequate information and specific values can be determined in the abscissa of the membership function of linguistic terms, that is, the fuzzy data of each scenario considered are close to each other. In this article, a novel HEP assessment aimed at solving such a difficulty is proposed. Under the framework, the fuzzy data are equipped with linguistic terms and membership values. By establishing a rule base for data combination, followed by the defuzzification and HEP transformation processes, the HEP results can be acquired. The methodology is first examined using a test case consisting of three different scenarios of which the fuzzy data are close to each other. The results generated are compared with the outcomes produced from the traditional fuzzy HEP studies using the same test case. It is concluded that the methodology proposed in this study has a higher degree of the discriminability and is capable of providing more reasonable results. Furthermore, in situations where the lack of data exists, the proposed approach is also capable of providing the range of the HEP results based on different risk viewpoints arbitrarily established as illustrated using a real-world example.

show abstract

“…Fuzzy Logic ( [47]) has been applied to address the cases in which the lack of knowledge concerns both the degradation model of a component and its parameters (e.g., [1]- [3], [27]). …”

Section: Introductionmentioning

confidence: 99%

Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence

Baraldi

Compare

Zio

2013

Information Sciences

View full text Add to dashboard Cite

To cite this version:Piero Baraldi, Michele Compare, Enrico Zio. Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence. Information Sciences, Elsevier, 2013, 245, pp.112 -131 Abstract: The aim of this work is to assess the performance of a maintenance policy when a stochastic model of the life of the component of interest is known, but relies on parameters that are imprecisely known, and only through information elicited from experts. The case in which the information used to feed the model comes from a single expert has been investigated by the authors in a previous work. This paper deals with the different situation in which a number of experts are involved in the elicitation of the uncertain parameters; in particular, each expert provides an interval he/she believes containing the unknown value of the parameter which he/she is knowledgeable about. The different type of available information calls for the development of a different method to represent and propagate the associated uncertainty. Resorting to Probability theory to address this issue is questionable. Then, a technique based on the Dempster-Shafer Theory of Evidence (DSTE) is embraced in this work, which allows facing a practical case study concerning the check valve of a turbo-pump lubricating system in a Nuclear Power Plant. The output of such method consists of couples of Lower and Upper cumulative distributions describing the uncertainty in the maintenance performance indicators of interest (i.e., unavailability and costs), which accounts for both the aleatory and epistemic contributions.

show abstract

The use of fuzzy set modelling for maintenance planning in a manufacturing industry

Cited by 10 publications

References 15 publications

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine-powered marine vessels

A Novel Human Error Probability Assessment Using Fuzzy Modeling

Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence

Contact Info

Product

Resources

About