Abstract

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.

Highlights

  • Health care organizations are one of the largest consumers of energy resources

  • The stationary state is obtained by letting t Ñ 8 and if the chain is regular the resulting matrix of transition probabilities is shown in Equation (3)

  • Where DmT “ p0Tp1Tp2T is the mean availability of the block comprising the cooling towers, and DmB “ p0Bp1Bp2B is the mean availability associated with the group of pumps. p0T, p1T, p2T, p0B, p1B, p2B are the coefficients found by solving Equation (15)

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Summary

Introduction

Health care organizations are one of the largest consumers of energy resources. This is due to:. There are many combinations of maintenance policies, and the choice of the most appropriate should be made through an objective decision-making process, based on mathematical techniques guaranteeing, in the case of health care organizations, the provision of care services to the required standard. Applying a multicriteria model to thermal energy production systems in Health Care Organizations They have critical characteristics as compared with other buildings and organizations, because of the quantity of water used and the number of services and people that depend on this provision. 3. Modelling the thermal energy production systems in a hospital via continuous time Markov chains, for different combinations of maintenance policies. The entire study was carried out on thermal energy production systems currently operational in a public hospital in Spain, guaranteeing the viability of the methodology used, and that good results, specific to each health care organization, can be obtained with relative ease.

Literature Review
Markov Chains
Markov Chains for Thermal Energy Production Systems
The Pracal System
The Prafri System
The Prafcd System
The Pacbom and Pafbom Systems
Structuring
Alternatives
Results
Full Text
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