Maintenance Today and Future Trends (original) (raw)
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Special Issue on Reliability, Risk and Maintenance
Pesquisa Operacional
Mathematical models in maintenance are an old topic: more than fifty years ago, researcher Efrain Turban published a paper in the prestigious journal "Management Science" (Turban, 1967) that analysed a national survey for identifying the gaps between the theory and practice. Specifically, their main question was why very few maintenance decision makers use the mathematical models to solve the main problems facing them. Surprisingly, however, the gap mentioned by the author is still present today. Fair to say that the gap is becoming smaller, which may be a result of some factors. Maintenance has earned a high level of reputation thanks to the recognition of its relationship with the good performance of systems. Failures in production processes and service delivery systems have very negative consequences, in financial, reliability and safety dimensions. As a result, the arsenal of models and approaches to handle maintenance problems has been increased substantially. A large spectrum of new techniques have been emerging from different areas and are being associated with classical operations research approaches applied in maintenance and reliability. This special issue brings a blend of the important problems on maintenance and reliability being treated under the field of operational research.
Reliability and maintenance - 2
2015
National Defense General Staff. He obtained his BEng (Hons) degree in Manufacturing Systems Engineering, his MSc in Quality Engineering, and his PhD in Systems Reliability from the University of Hertfordshire, UK. Dr. Kounis has worked as a senior quality engineer in a number of private companies in Greece and has acted as part-time lecturer and scientific advisor in academia. His research interests focus in the area of quality, transportation, and sustainable energy. He has published a number of scientific papers. Contents Preface XIII Section 1 Maintenance Models and Policies Chapter 1 Maintenance and Asset Life Cycle for Reliability Systems
2009
In a global world, the survival and sustainability of industrial companies depends on several factors: production continuity; quantity assurance; quality assurance; competitive prices for products; on time production; flexibility; operational safety and environmental safety. To achieve these goals, sustainable industrial operations must rely on dependable systems and equipments. Dependability is defined as “the collective term describing the availability performance of any simple to complex product” [1]. This definition can be extended for industrial operations, to their reliability and maintainability design characteristics. As there are no perfect systems and equipments designs, component degradation and failures will always occur during their life cycle. So to keep their dependability level during the life cycle good maintenance support is essential. In this paper we will discuss the importance of maintenance to achieve the required dependability and sustainability for industrial...
Handbook of Maintenance Management and Engineering
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Reliability and Preventive Maintenance
MARE-WINT, 2016
In this chapter, the authors explain how to perform the core analysis of a Reliability Centered Maintenance (RCM) process for an offshore wind turbine. The aim is to provide an engineering guide which can improve the maintenance of the system, and consequently increases its availability and the production of energy. The initial investigations have been carried out using a database for an onshore 5 MW wind turbine; the data has then been converted using a proper conversion factor, so that it can be used for a 10 MW offshore turbine case. The reliability and availability of the entire offshore wind turbine have been calculated through Reliability Prediction and a Reliability Block Diagram (RBD). In addition, a failure mode analysis is done using FMECA, in order to identify the most important failure modes in a risk priority order, and to the note the effect of propagation of each functional failure. The maintenance part of the RCM analysis has also been studied, to facilitate the creation of an optimum packaging of preventive maintenance tasks, which can help to avoid the functional failures of items throughout the system. Although the main target of the RCM is to reduce the downtime of the wind turbine, a reduction in Life Cycle Costs can be also accomplished through this process.
The present status of maintenance strategies and the impact of maintenance on reliability
IEEE Transactions on Power Systems, 2001
In this paper, the most frequently used maintenance strategies are reviewed. Distinction is made between strategies where maintenance consists of replacement by a new (or "good as new") component and where it is represented by a less costly activity resulting in a limited improvement of the component's condition. Methods are also divided into categories where maintenance is performed at fixed intervals and where it is carried out as needed. A further distinction is made between heuristic methods and those based on mathematical models; the models themselves can be deterministic or probabilistic.
APPLICATION OF RELIABILITY-CENTERED MAINTENANCE IN A STEEL MILL
2023
Technological development has provided numerous changes in the industrial process and has led to the need for maintenance improvement due to the importance of operational availability for companies' results. In this study, we sought to apply Reliability-Centered Maintenance (RCM) to equipment with high criticality indexes in a blast furnace of a steel mill and present the benefits obtained after implementation. As an initial sample, the electrostatic precipitators from the engine room were used due to the high number of corrective maintenance interventions and long downtime during failures.To apply the method, the 5 stages for implementation were followed, and finally, a comparison was made between maintenance plans before and after RCM implementation, presenting the gains achieved through a reduction in the number of corrective maintenance interventions during a specific analysis period. By applying RCM to equipment of class A criticality, a 91.7% reduction in corrective maintenance interventions was achieved in the year 2022, compared to 2021, along with increased MTBF and reduced MTTR for the studied equipment.
A New Framework of Reliability Centered Maintenance
JJMIE, 2019
In this paper, a novel framework of reliability centered maintenance (RCM) is proposed. The objective of this RCM model is to overcome the shortcomings of the existing RCM models. Current RCM models neither propose any actions with non-critical equipment nor propose any maintenance metrics. Moreover, they do not present maintenance work order flow. Both the classical and streamlined RCM models are adopted to formulate the proposed model to be more effective and efficient, i.e. it is focusing on the main functions of the system for the sake of preventing or eliminating the maintenance actions that are not necessary and identify effective maintenance tasks. In addition, a general Excel-based algorithm is proposed to perform criticality analysis and classification of machines/equipment into different categories. The proposed framework of RCM has been applied and evaluated in a real case study; namely is Fayoum Sugar Works Company in Egypt which produces Sugar. The results of applying RCM on A-Sugar line show that corrective and preventive maintenance downtime decreased by 55.77% and 52.17%, respectively. This reduction in downtimes leads to a saving in the total maintenance cost by 52.17%, which means that the proposed RCM saved about 6.19×106 L. E (Egyptian Pound) in total maintenance cost. Moreover, the results reveal that the availability increase from 57.1% to 90.74% and reliability increased from 99.73% to 99.88% as well.
Risk Based Maintenance: An Approach for Reducing Breakdown
International Research Journal of Engineering and Technology (IRJET), 2021
An active working of the processing plants highly relies on maintenance patterns implemented and their reliability. In the processing plants which have high demand for products, effective and efficient operation becomes very crucial. This should be addressed by enhancing the total production. Prior to increasing demand for its production, evaluation of reliability and planning required for maintenance are unavoidable. The main objective of this study was to detect and determine major breakdowns which were causing losses in production for company and then, to recommend possible methods through which the problems identified could be minimized. The evaluation of breakdown pattern was aimed towards improving manufacturing performance by understanding the prospects of risk-based maintenance. In the study, a root cause analysis was carried out for determining root causes of the breakdowns and possible parallel up gradation prospects were identified as well for implementation such that the downtime could be reduced.