A decision-making framework for process plant maintenance

Ghosh, Devarun; Roy, Sharmila

doi:10.1504/ejie.2010.029571

Cited by 52 publications

(26 citation statements)

References 12 publications

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“…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. In [34], Ghosh and Roy (2010) use the worst-case failure mode to calculate criticality of equipment, and with this information they prioritize maintenance activity. They then use fuzzy AHP and a goal-programming model to optimize the goals of risk reduction and cost minimization.…”

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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“…As a related piece of work in the field of techno-economic optimization of process plant maintenance, the decision-making framework for an overall maintenance approach has been modeled using a fuzzy Multi-Criteria Decision-Making approach (Ghosh, 2008). However, for further improvement in decision-making, both the reliability of a system (constrained to be above a minimum permissible level) as well as the risk that would result as a consequence of a random equipment failure need (constrained to be below a maximum permissible level) to be considered.…”

Section: Resultsmentioning

confidence: 99%

Maintenance optimization using probabilistic cost-benefit analysis

Ghosh

Roy

2009

Journal of Loss Prevention in the Process Industries

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“…Researches on technical asset-related activities have been treated extensively in the literature such as researches on maintenance and its strategy (Tsang, 1998;Mather, 2005;Pinjala et al, 2006); performance measurement and optimization (Dekker and Scarf, 1998;Garg and Deshmukh, 2006); replacement and remaining asset life determination (Jardine and Tsang, 2013;Zuashkiani and Jardine, 2013;Wijnia et al, 2007;Scarf et al, 2007;Oien, 1998), maintenance outsourcing (Cruz and Rinco, 2012;Wang, 2010;Martin, 1997;Buczkowski et al, 2005); maintenance process planning, task and task interval selection (Ghosh and Roy, 2010;Mckone and Weiss, 2002;Khan and Haddara 2003); planning, scheduling and information management (Satyanarayana and Prasad, 1996;Nagarur and Kaewplang, 1999;Tsang et al, 2006).…”

Section: Engineering Asset Managementmentioning

confidence: 99%

Maintaining pipeline integrity through holistic asset management

El-Akruti

Zhang

Dwight

2016

EJIE

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A review of the concept of engineering asset management (EAM) and its role in integrity management within the context of energy pipelines has been conducted. The EAM system is shown to be concerned with pipeline integrity assurance at any point of the asset life. The effectiveness of a holistic EAM approach to assuring pipeline integrity is explored through case studies for pipelines that transport high pressure natural gas or liquid petroleum. The research examines the EAM system activities, data available and information flow and decision mechanisms utilised in industry and their effectiveness in incorporating the management or control of coating degradation and external corrosion into pipeline integrity management. The objective is to provide a holistic approach to defining the status of the EAM system that is in current use in energy pipeline organisations and to examine the role of EAM in integrity management of these pipelines This journal article is available at Research Online: http://ro.uow.edu.au/eispapers/6058 European J. Industrial Engineering, Vol. 10, No.5, 2016, pp.618-638. AbstractA review of the concept of engineering asset management (EAM) and its role in integrity management within the context of energy pipelines has been conducted. The EAM system is shown to be concerned with pipeline integrity assurance at any point of the asset life. The effectiveness of a holistic EAM approach to assuring pipeline integrity is explored through case studies for pipelines that transport high pressure natural gas or liquid petroleum. The research examines the EAM system activities, data available and information flow and decision mechanisms utilised in industry and their effectiveness in incorporating the management or control of coating degradation and external corrosion into pipeline integrity management. The objective is to provide a holistic approach to defining the status of the EAM system that is in current use in energy pipeline organisations and to examine the role of EAM in integrity management of these pipelines.

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A decision-making framework for process plant maintenance

Cited by 52 publications

References 12 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

Maintenance optimization using probabilistic cost-benefit analysis

Maintaining pipeline integrity through holistic asset management

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