Maintenance strategy based on a multicriterion classification of equipments

Hijes, Félix C. Gómez de León e; Cartagena, José Javier Ruiz

doi:10.1016/j.ress.2005.03.001

Cited by 59 publications

(20 citation statements)

References 9 publications

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“…Next, a goal-programming model was applied to identify the best set of maintenance policies for the failure modes in a set of the 10 most critical centrifugal pumps operating in an Italian oil refinery. In [27], Gómez de León and Ruiz (2006) propose calculating an equipment criticality index via a normalized Simple Additive Weighting (SAW) method. The various maintenance policies are assigned according to the value obtained from the criticality test.…”

Section: Emissions and Penaltiesmentioning

confidence: 99%

A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital

Carnero

Gómez

2017

Sustainability

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Health Care Organizations are large consumers of energy resources. This is due to the large number of services they must offer continuously, the strict requirements of temperature and humidity for patients and comfort for all visitors. Facilities for thermal energy production are critical as they guarantee the proper working of care services by producing primary air, eliminating legionella, and providing air conditioning to theatres, emergency areas, ICUs, neonatology departments, etc. Nonetheless, despite the importance of thermal energy production systems, there is no prior literature analysing the best maintenance to be applied to these systems. This study describes an innovative multicriteria model designed with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach and Markov chains, in choosing the best combination of maintenance policies to guarantee the best quality of care. The model was created with the co-operation of a decision group made up of those in charge of different areas of a Health Care Organization. This gives the current availability of the thermal energy production systems, and the availability that would be achieved by applying other alternatives. In the system that produces hot water for the air conditioning units, the best alternative is found to be corrective and preventive maintenance. In the cold-water production system for air conditioning, the model recommends the use of corrective, preventive and predictive maintenance, monitored by vibration analysis. For the systems producing hot domestic water and hot and cold water for other systems, corrective and preventive maintenance is recommended. In the legionella treatment system, it is best to apply corrective, preventive and periodic predictive maintenance (quarterly by combustion analysis). Finally, the implications for quality of care of changing the maintenance alternatives are considered. This research was carried out on thermal energy production systems currently operational in the University General Hospital of Ciudad Real (Spain). The methodology used in this study, together with the criteria, descriptors, weightings, etc., may serve as a standard for other Health Care Organizations, with the final goal of improving quality of care.

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Section: Emissions and Penaltiesmentioning

confidence: 99%

A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital

Carnero

Gómez

2017

Sustainability

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“…The study proposed a dynamic criticality-based model to which the inputs are updated as the operating environment changes. Other applications of the criticality analysis in asset prioritisation can be further explored in [174], [175], [176], [177], and [178]. Comprehensive techniques for prioritising assets for maintenance purposes have been succinctly summarised in [179].…”

Section: Asset Prioritisationmentioning

confidence: 99%

A review of asset management literature on multi-asset systems

Petchrompo

Parlikad

2019

Reliability Engineering & System Safety

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This article gives an overview of the literature on asset management for multi-unit systems with an emphasis on two multi-asset categories: fleet (a system of homogeneous assets) and portfolio (a system of heterogeneous assets). As asset systems become more complicated, researchers have employed different terms to refer to their specific problems. With an objective to facilitate readers in searching conducive studies to their interests, this paper establishes a novel classification scheme for multi-unit systems in accordance with essential features such as diversity of assets and intervention options. Moreover, discerning differences in characteristics between cross-component and cross-asset interactions, we select three types of potential multi-component dependencies (performance, stochastic, and resource) and extend their notions to be applicable to multi-asset systems. The investigation into these dependencies enables the identification of problems that could exist in real industrial settings but are yet to be determined in academia. Ultimately, we delve into modelling approaches adopted by previous researchers. This comprehensive information allows us to offer the insights into the current trends in multi-asset maintenance. We expect that the output of this review paper will not only stress research gaps on multi-asset systems, but more importantly help systematise future studies on this aspect.

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“…It can be intended for risk analysis using failure mode of equipment, where the failure mode that affects the equipment the most is critical (Yang et al, 2010;Bertolini and Bevilacqua, 2006). Also, maintenance criticality analysis, which is similar to that of FMECA, is used to design maintenance policy (Silvestri et al, 2014), whereas a quantitative and collaborative criticality analysis approach in a pharmaceutical plant uses this for preventive maintenance priorities (de León Hijes and Cartagena, 2006). The FMEA methods are sometimes even used for not only identifying critical machines but also classify machines based on criticality (Ramli and Arffin, 2012).…”

Section: Machine Classificationmentioning

confidence: 99%

Machine criticality based maintenance prioritization

Gopalakrishnan

Skoogh

2018

IJPPM

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Purpose-The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at understanding the connection between machine criticality assessment and maintenance prioritization in industrial practice, as well as providing the improvement potentials. Design/methodology/approach-An explanatory mixed method research design was used in this study. Data from literature analysis, a web-based questionnaire survey, and semi-structured interviews were gathered and triangulated. Additionally, simulation experimentation was used to evaluate the productivity potential. Findings-The connection between machine criticality and maintenance prioritization is assessed in an industrial setup. The empirical findings show that maintenance prioritization is not based on machine criticality, as criticality assessment is non-factual, static, and lacks system view. It is with respect to these finding that the ways to increase system productivity and future directions are charted. Originality/value-In addition to the empirical results showing productivity improvement potentials, the paper emphasizes on the need for a systems view for solving maintenance problems, i.e. solving maintenance problems for the whole factory. This contribution is equally important for both industry and academics, as the maintenance organization needs to solve this problem with the help of the right decision support.

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Maintenance strategy based on a multicriterion classification of equipments

Cited by 59 publications

References 9 publications

A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital

A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital

A review of asset management literature on multi-asset systems

Machine criticality based maintenance prioritization

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