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Journal ArticleDOI

Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning

TLDR
In this paper, the authors present a new methodology for risk-based maintenance, which comprises three main modules: risk estimation module, risk evaluation module, and maintenance planning module, which helps management in making correct decisions concerning investment in maintenance or related field.
Abstract
The overall objective of the maintenance process is to increase the profitability of the operation and optimize the total life cycle cost without compromising safety or environmental issues. Risk assessment integrates reliability with safety and environmental issues and therefore can be used as a decision tool for preventive maintenance planning. Maintenance planning based on risk analysis minimizes the probability of system failure and its consequences (related to safety, economic, and environment). It helps management in making correct decisions concerning investment in maintenance or related field. This will, in turn, result in better asset and capital utilization. This paper presents a new methodology for risk-based maintenance. The proposed methodology is comprehensive and quantitative. It comprises three main modules: risk estimation module, risk evaluation module, and maintenance planning module. Details of the three modules are given. A case study, which exemplifies the use of methodology to a heating, ventilation and air-conditioning (HVAC) system, is also discussed.

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Citations
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Journal ArticleDOI

Maintenance management: literature review and directions

TL;DR: In this paper, a review of the literature on maintenance management and suggest possible gaps from the point of view of researchers and practitioners is presented, where important issues in maintenance management range from various optimization models, maintenance techniques, scheduling and information systems.
Journal ArticleDOI

Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009

TL;DR: In this paper, the main risk analysis and risk assessment methods and techniques by reviewing the scientific literature are classified into three main categories: (a) the qualitative, (b) the quantitative, and (c) the hybrid techniques (qualitative,quantitative, semi-quantitative).
Journal ArticleDOI

Risk-based maintenance—Techniques and applications

TL;DR: There is no unique way to perform risk analysis and risk-based maintenance, and the use of suitable techniques and methodologies, careful investigation during the risk analysis phase, and its detailed and structured results are necessary to make proper risk- based maintenance decisions.
Journal ArticleDOI

Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management

TL;DR: This paper investigates a knowledge-assisted BIM-based visual analytics approach for failure root-cause detection in FM and utilizes BIM visualization capabilities to provide FM technicians with visualizations that allow them to utilize their cognitive and perceptual reasoning for problem solving.
Journal ArticleDOI

Development of a risk-based maintenance (RBM) strategy for a power-generating plant

TL;DR: In this article, the authors proposed a risk-based maintenance (RBM) approach to minimize the risk resulting from breakdowns or failures in power-generating units (PGUs).
References
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Book

Fuzzy Sets and Systems: Theory and Applications

Didier Dubois, +1 more
TL;DR: This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy set theory and its applications or interactions in a wide spectrum of scientific disciplines.
Journal ArticleDOI

New algorithms for fault trees analysis

TL;DR: A new method is presented that allows the efficient computation of both the minimal cuts of a fault tree and the probability of its root event and results in a qualitative and quantitative improvement in safety analysis of industrial systems.
Journal ArticleDOI

Fault-Tree Analysis by Fuzzy Probability

TL;DR: In the present approach based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle.
Journal ArticleDOI

On fault tree analysis with fuzzy probability

TL;DR: In the present approach based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle.
Journal ArticleDOI

Analytical simulation and PROFAT II: a new methodology and a computer automated tool for fault tree analysis in chemical process industries

TL;DR: A new algorithm based on analytical simulation (named as AS-II) is developed, which makes the application of FTA simpler, quicker, and cheaper; thus opening up the possibility of its wider use in risk assessment in chemical process industries.
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