Risk-based maintenance policy selection using AHP and goal programming

Arunraj, N.S.; Maiti, J.

doi:10.1016/j.ssci.2009.09.005

Cited by 156 publications

(84 citation statements)

References 22 publications

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“…The different maintenance policies in an aircraft system are ranked using the benefit-cost ratio, TOPSIS and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). In [33], Arunraj and Maiti (2010) apply AHP to obtain a priority vector for the maintenance policies analysed. The priority vector is a goal-programming model with three goals: global scores of maintenance policies, local scores of maintenance policies based on risk contribution, and local scores of maintenance policies based on cost.…”

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 same case was also studied using fuzzy comparison ratios for the AHP [30]. For a rerun column section in a benzene extraction unit of a chemical plant, the AHP was combined with goal programming for a risk based approach to maintenance policy selection, using only cost and risk as criteria [31]. Finally, the AHP was also successfully used to select the best maintenance policies at a newspaper printing facility [32].…”

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confidence: 99%

Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships

Goossens

Basten

2015

Reliability Engineering & System Safety

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“…Sachdeva et al (2008) present an improved maintenance decision selection methodology for ranking criticality of equipment failures based on multi factors by using AHP instead of relying on the RPN in FMEA. Arunranj and Maiti (2010) describe a model to select maintenance strategies based on risk of failure and maintenance cost by integrating AHP and goal programming methods. Kumar and Chaturvedi (2011) demonstrate the use of fuzzy logic and approximate reasoning approaches to prioritise maintenance task selection for the critical equipment failures in a steel rolling mill.…”

Section: Comment [T1]mentioning

confidence: 99%

Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

Sutrisno

Kwon

Gunawan

et al. 2016

IJPQM

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Posting the Accepted Manuscript*  on the Author's personal or departmental web pages or social media at any point after publication and/or  on institutional repositories and/or subject repositories subject to an embargo of 6 months after publication or  on academic social networks such as Mendeley, ResearchGate or Academia.edu subject to an embargo of 6 months after publication;In all cases, acknowledgement in the form of a full citation must be given to the journal as the original source of publication, together with a link to the journal webpage and/or DOI as soon as they are available. considered in previous studies. In order to address these limitations, a model is proposed in which the impact of environmental factors is considered by integrating SWOT analysis into the FMEA method in order to support the appraisal of competing risk-based improvement efforts. The impact of SWOT variables is deployed using a decision support model based upon the benefit, cost, opportunity, risk and organisational readiness index (BCOR2) approach in order for the FMEA team to select from competing corrective actions. A case example from industry is provided in which the proposed model is applied. This example illustrates that this new model contributes successfully to good practice by identifying the most appropriate corrective action option to take and improves upon the decisions provided by existing developments of the FMEA methodology.

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Risk-based maintenance policy selection using AHP and goal programming

Cited by 156 publications

References 22 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

Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships

Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

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