This page has only limited features, please log in for full access.

Prof. María Carmen Carnero
University of Castilla-La Mancha

Basic Info


Research Keywords & Expertise

0 Benchmarking
0 Maintenance
0 sustainability assessment
0 multicriteria decision making
0 Safety and Environment

Fingerprints

Maintenance
Benchmarking
multicriteria decision making

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 02 May 2021 in Mathematics
Reads 0
Downloads 0

Due to the important advantages it offers, gamification is one of the fastest-growing industries in the world, and interest from the market and from users continues to grow. This has led to the development of more and more applications aimed at different fields, and in particular the education sector. Choosing the most suitable application is increasingly difficult, and so to solve this problem, our study designed a model which is an innovative combination of fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) and Shannon entropy theory, to choose the most suitable gamification application for the Industrial Manufacturing and Organisation Systems course in the degree programmes for Electrical Engineering and Industrial and Automatic Electronics at the Higher Technical School of Industrial Engineering of Ciudad Real, part of the University of Castilla-La Mancha. There is no precedent in the literature that combines MACBETH and fuzzy Shannon entropy to simultaneously consider the subjective and objective weights of criteria to achieve a more accurate model. The objective weights computed from fuzzy Shannon entropy were compared with those calculated from De Luca and Termini entropy and exponential entropy. The validity of the proposed method is tested through the Preference Ranking Organisation METHod for Enrichment of Evaluations (PROMETHEE) II, ELimination and Choice Expressing REality (ELECTRE) III, and fuzzy VIKOR method (VIsekriterijumska optimizacija i KOmpromisno Resenje). The results show that Quizizz is the best option for this course, and it was used in two academic years. There are no precedents in the literature using fuzzy multicriteria decision analysis techniques to select the most suitable gamification application for a degree-level university course.

ACS Style

María Carnero. Developing a Fuzzy TOPSIS Model Combining MACBETH and Fuzzy Shannon Entropy to Select a Gamification App. Mathematics 2021, 9, 1034 .

AMA Style

María Carnero. Developing a Fuzzy TOPSIS Model Combining MACBETH and Fuzzy Shannon Entropy to Select a Gamification App. Mathematics. 2021; 9 (9):1034.

Chicago/Turabian Style

María Carnero. 2021. "Developing a Fuzzy TOPSIS Model Combining MACBETH and Fuzzy Shannon Entropy to Select a Gamification App." Mathematics 9, no. 9: 1034.

Journal article
Published: 06 November 2020 in Mathematics
Reads 0
Downloads 0

Health care organisations have broadened their commitment to corporate social responsibility, since, as well as providing health care to patients, their activities negatively affect world pollution. This is a result of the products and technologies they use, the resources they consume, the waste they produce, and the buildings they occupy and operate. This, in turn, affects the health of the community. For this reason, a growing number of health care organisations have become involved in improvements to environmental sustainability, in order to promote public health. These improvements need to be controlled by a system whose effects can be assessed within a process of continuous improvement. This research, therefore, sets out a model constructed by extension to a fuzzy environment of the technique for order preference by similarity to ideal situation (TOPSIS), to assess the environmental responsibility of health care organizations. The weights were obtained from judgements given by both an expert in environmental matters, and a group of patients, and the judgements of both types of stakeholder were combined. The model has been applied in a Spanish public hospital over a period of five years. The closeness coefficients obtained with the judgements from the patient group are on average 6.59% higher than those obtained from the expert, and so it can be said that patients are less demanding on environmental matters. The similarity of the models was assessed, by comparing the model that combines both sets of judgements with the model constructed from the judgements of the expert and the model built from the judgements of the patient groups. The similarity is seen to be high, but it is greater in the case of the ranking obtained from the patient judgements. The results in all cases suggest a low risk of a serious environmental problem in the hospital. Nonetheless, it also implies that there are opportunities for continuous improvement. The use of a model with judgements from a patient group was intended to take into account the increasingly important need to include the judgements and opinions of different stakeholders in decision and assessment processes in the hospital environment.

ACS Style

María Carmen Carnero. Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements. Mathematics 2020, 8, 1985 .

AMA Style

María Carmen Carnero. Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements. Mathematics. 2020; 8 (11):1985.

Chicago/Turabian Style

María Carmen Carnero. 2020. "Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements." Mathematics 8, no. 11: 1985.

Journal article
Published: 17 August 2020 in Mathematics
Reads 0
Downloads 0

Segregation is an important step in health care waste management. If done incorrectly, the risk of preventable infections, toxic effects, and injuries to care and non-care staff, waste handlers, patients, visitors, and the community at large, is increased. It also increases the risk of environmental pollution and prevents recyclable waste from being recovered. Despite its importance, it is acknowledged that poor waste segregation occurs in most health care organizations. This study therefore intends to produce, for the first time, a classification of failure modes related to segregation in the Nuclear Medicine Department of a health care organization. This will be done using Failure Mode and Effects Analysis (FMEA), by combining an intuitionistic fuzzy hybrid weighted Euclidean distance operator, and the multicriteria method Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA). Subjective and objective weights of risk factors were considered simultaneously. The failure modes identified in the top three positions are: improper storage of waste (placing items in the wrong bins), improper labeling of containers, and bad waste management (inappropriate collection periods and bin set-up).

ACS Style

María Carmen Carnero. Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method. Mathematics 2020, 8, 1375 .

AMA Style

María Carmen Carnero. Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method. Mathematics. 2020; 8 (8):1375.

Chicago/Turabian Style

María Carmen Carnero. 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method." Mathematics 8, no. 8: 1375.

Journal article
Published: 14 June 2020 in Sustainability
Reads 0
Downloads 0

The increase in the importance given to the social dimension of companies has led to an awareness in society of the right to require economic, social and environmental responsibility. Although several methodologies of corporate social responsibility (CSR) are being introduced in organizations, and in many others, it is already part of the corporate culture; however, it is a concept that is still being explored in the area of education, where there is no prior record of the application of a strategic assessment model in centers of learning. This study describes an innovative multicriteria model designed with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach to assess CSR in high schools. It is in high schools that students are old enough to internalize the different dimensions of CSR and to include it in their most personal values throughout their entire life. The model is constructed using judgements from three decision centers with a great deal of experience and an extensive professional history in the field of high school teaching. This model, built specifically for centers of learning, assigns a score to the various limits between levels of excellence, considered as actions to be determined to identify the level of centers of learning. The model can be used as a tool for the continuous improvement of CSR as it allows the strengths and weaknesses of each center in the area of educational sustainability to be recognized and action plans to be produced for those with the worst performance. Furthermore, the model can be used as a tool for benchmarking, that is, the comparison of CSR efficiency between high schools, and act as a way of attracting students. The model has been applied in three state high schools of very different types.

ACS Style

Jaime Burgos; María Carmen Carnero. Assessment of Social Responsibility in Education in Secondary Schools. Sustainability 2020, 12, 1 .

AMA Style

Jaime Burgos, María Carmen Carnero. Assessment of Social Responsibility in Education in Secondary Schools. Sustainability. 2020; 12 (12):1.

Chicago/Turabian Style

Jaime Burgos; María Carmen Carnero. 2020. "Assessment of Social Responsibility in Education in Secondary Schools." Sustainability 12, no. 12: 1.

Journal article
Published: 08 June 2020 in Mathematics
Reads 0
Downloads 0

In the current literature, there are a clear lack of systems to assist in making decisions about the renewal of technology for healthcare equipment, which means that the limited capacity to invest in new equipment cannot usually be appropriately applied as determined by the care requirements of a community. This may have important repercussions for patients, such as the inability to offer treatment or diagnosis, having to delay treatment or diagnosis, increase the risk of patients and care staff of using obsolete equipment, and preventing early, accurate, and reliable diagnosis, all of which have effects on the quality of care to a community. This study therefore describes the first multicriteria model in a fuzzy environment to assist in decision making related to the renewal of healthcare equipment. The fuzzy analytic hierarchy process (FAHP), which allows for ambiguities, uncertainties, and doubts inherent in real-world decision processes to be taken into account, was used to do this. The model produces a plan with actions to be taken depending on the obtained results. The model includes a novel methodology that consists of modifying the top–down technique to allow for the levels of priority for renewing healthcare equipment to be determined from judgements given by three experts. The model was validated by applying it to a set of medical devices, and we show the results for a surgical C-arm, an X-ray CT room, a neonatal ventilator, a defibrillator, and a video-colonoscope. A program was also created using the NI Labview software to process the model so that it could be applied with a user interface that acts quickly, simply, and intuitively.

ACS Style

Sergio Domínguez; María Carmen Carnero. Fuzzy Multicriteria Modelling of Decision Making in the Renewal of Healthcare Technologies. Mathematics 2020, 8, 944 .

AMA Style

Sergio Domínguez, María Carmen Carnero. Fuzzy Multicriteria Modelling of Decision Making in the Renewal of Healthcare Technologies. Mathematics. 2020; 8 (6):944.

Chicago/Turabian Style

Sergio Domínguez; María Carmen Carnero. 2020. "Fuzzy Multicriteria Modelling of Decision Making in the Renewal of Healthcare Technologies." Mathematics 8, no. 6: 944.

Journal article
Published: 01 May 2020 in Mathematics
Reads 0
Downloads 0

Gamification is an innovative teaching technique that may prove hugely beneficial when properly used. For this reason, since 2002, the number of situations in which gamification is used has increased exponentially. This large number of options makes it difficult to choose the best application, especially in circumstances where there is the usual uncertainty that real-life decision making involves. To address this problem, this study creates two models, one using a fuzzy analytic hierarchy process (AHP), and the other, which combines fuzzy AHP with the measuring attractiveness by a categorical-based evaluation technique (MACBETH) approach, to choose the best gamification application for the ‘Operations Management’ course, within the Masters in Industrial Engineering. This is the first contribution in the literature combining fuzzy AHP and MACBETH. The decision centre used was the lecturer who teaches the course. There is no precedent in the literature using fuzzy logic to choose the best gamification application for a course. The results of the study show that Socrative is the best gamification application for this course within the Masters, and, as the models begin to be used in degree courses, the better choice would be Quizizz, the more clearly the earlier the course is taught within the degree programme.

ACS Style

María Carmen Carnero. Fuzzy Multicriteria Models for Decision Making in Gamification. Mathematics 2020, 8, 682 .

AMA Style

María Carmen Carnero. Fuzzy Multicriteria Models for Decision Making in Gamification. Mathematics. 2020; 8 (5):682.

Chicago/Turabian Style

María Carmen Carnero. 2020. "Fuzzy Multicriteria Models for Decision Making in Gamification." Mathematics 8, no. 5: 682.

Journal article
Published: 14 November 2019 in Applied Sciences
Reads 0
Downloads 0

Despite the great importance of sustainable development for a country, it is possible to say, having reviewed the literature widely, that this research is the first to use a Multi-Criteria Decision Method (MCDM) to analyze the sustainability of EU countries, considering different dimensions and weighting the criteria with the help of a group of experts. This paper therefore sets out a Multi-Criteria Model for analyzing the development of sustainability in EU countries (and Norway and Iceland). This required prior filtering and analysis of the data from the Eurostat database. The model was built with the multi-criteria Analytic Hierarchy Process (AHP) technique. Four experts in sustainability participated in the weighting process. The results of the AHP model are identified by areas of sustainability, with the highest value found in Norway, and the rest are found around it forming rings of sustainability, where sustainability decreases the further a country is from Norway. This research could be used to identify the strengths and weaknesses of each country with regard to sustainable development, and by analyzing the measures taken by Norway and other countries with very high sustainability, by continuous improvement processes, reach similar levels of sustainable development.

ACS Style

Carlos Javier Martín; María Carmen Carnero. Evaluation of Sustainable Development in European Union Countries. Applied Sciences 2019, 9, 4880 .

AMA Style

Carlos Javier Martín, María Carmen Carnero. Evaluation of Sustainable Development in European Union Countries. Applied Sciences. 2019; 9 (22):4880.

Chicago/Turabian Style

Carlos Javier Martín; María Carmen Carnero. 2019. "Evaluation of Sustainable Development in European Union Countries." Applied Sciences 9, no. 22: 4880.

Journal article
Published: 24 May 2019 in Sustainability
Reads 0
Downloads 0

Systems that supply medicinal gases—oxygen, nitrous oxide and medical air—serve all care units of a hospital; for example, they feed distribution systems for operating theatres, neonatal and pediatric units, dialysis, X-ray, casualty, special tests, outpatients, etc. Systems for the provision of medicinal gases are therefore critical in guaranteeing hospital sustainability, since the functionality or availability of other hospital systems depends on them. Availability of 100% in these systems would avoid the need to reschedule patient appointments. It would also eliminate repeat testing, which poses risk to staff and patients, and could avoid affecting people’s lives through unavailability of, for example, operating theatres or intensive care units. All this contributes to a more rational resource consumption and an increase in quality of care both for the hospital itself and for patients and visitors. Although these systems are of vital importance to health care organizations, no previous work has been found in the literature that optimizes the technical decisions on supply in these systems. This research describes a model for these systems via continuous-time Markov chains. The results obtained are used in a multicriteria model constructed with the measuring attractiveness by a categorical-based evaluation technique (MACBETH) approach. In order to assess reliability when incorporating doubt or uncertainty via the MACBETH approach, the model has been validated by means of the fuzzy analytic hierarchy process. The aim is to obtain the best objective decision, with respect to the design of these systems, by analyzing the use of economic resources, the risks, and the impact on hospital activity, all with the aim of guaranteeing the best quality of care. The models constructed by means of MACBETH and the fuzzy analytic hierarchy process give, as the most suitable alternatives, duplicate the external supply in medical oxygen systems and maintain the original design conditions for supply systems of nitrous oxide and medicinal air.

ACS Style

María Carmen Carnero; Andrés Gómez. Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care. Sustainability 2019, 11, 2952 .

AMA Style

María Carmen Carnero, Andrés Gómez. Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care. Sustainability. 2019; 11 (10):2952.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez. 2019. "Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care." Sustainability 11, no. 10: 2952.

Chapter
Published: 01 January 2019 in Cases on Applied and Therapeutic Humor
Reads 0
Downloads 0

The aim of this chapter is to minimize the corrective breakdowns produced in the electromedical equipment of a healthcare organization. To this, an optimization plan of maintenance policies will be developed. This plan includes the creation of preventive maintenance datasheets. The data used in this research has been obtained from the computerized maintenance management system, which is owned by the healthcare organization. Different types of rankings have been made in the stocks to prioritize items by family of equipment and by average work orders by equipment generated. The maintenance tasks are optimized to preserve the satisfactory working conditions and the performance of equipment in the healthcare organization optimizing available resources. All of this is intended to anticipate the maintenance activity to breakdowns and to prevent the care quality from diminishing by increasing the patient waiting time by unavailability of medical equipment in the treatments and diagnostic tests.

ACS Style

Juan Ignacio Roig; Andrés Gómez; Isabel Romero; María Carmen Carnero. Maintenance Policies Optimization of Medical Equipment in a Health Care Organization. Cases on Applied and Therapeutic Humor 2019, 143 -157.

AMA Style

Juan Ignacio Roig, Andrés Gómez, Isabel Romero, María Carmen Carnero. Maintenance Policies Optimization of Medical Equipment in a Health Care Organization. Cases on Applied and Therapeutic Humor. 2019; ():143-157.

Chicago/Turabian Style

Juan Ignacio Roig; Andrés Gómez; Isabel Romero; María Carmen Carnero. 2019. "Maintenance Policies Optimization of Medical Equipment in a Health Care Organization." Cases on Applied and Therapeutic Humor , no. : 143-157.

Chapter
Published: 01 January 2018 in Encyclopedia of Information Science and Technology, Fourth Edition
Reads 0
Downloads 0

The aim of this chapter is to minimize the corrective breakdowns produced in the electromedical equipment of a healthcare organization. To this, an optimization plan of maintenance policies will be developed. This plan includes the creation of preventive maintenance datasheets. The data used in this research has been obtained from the Computerized Maintenance Management System which owned by the healthcare organization. Different types of rankings have been made in the stocks to prioritize items by family of equipment and by average work orders by equipment generated. The maintenance tasks are optimized to preserve the satisfactory working conditions and the performance of equipment in the healthcare organization optimizing available resources. All of this is intended to anticipate the maintenance activity to breakdowns and to prevent the care quality from diminishing by increasing the patient waiting time by unavailability of medical equipment in the treatments and diagnostic tests.

ACS Style

Juan Ignacio Roig; Andrés Gómez; Isabel Romero; María Carmen Carnero. Maintenance Policies Optimization of Medical Equipment in a Health Care Organization. Encyclopedia of Information Science and Technology, Fourth Edition 2018, 3698 -3710.

AMA Style

Juan Ignacio Roig, Andrés Gómez, Isabel Romero, María Carmen Carnero. Maintenance Policies Optimization of Medical Equipment in a Health Care Organization. Encyclopedia of Information Science and Technology, Fourth Edition. 2018; ():3698-3710.

Chicago/Turabian Style

Juan Ignacio Roig; Andrés Gómez; Isabel Romero; María Carmen Carnero. 2018. "Maintenance Policies Optimization of Medical Equipment in a Health Care Organization." Encyclopedia of Information Science and Technology, Fourth Edition , no. : 3698-3710.

Chapter
Published: 01 January 2018 in Encyclopedia of Information Science and Technology, Fourth Edition
Reads 0
Downloads 0

Sustainability is considered a paradigm for businesses in the 21st Century. Despite this, the existing tools for helping to introduce strategies and manage activities to promote sustainable business are few. These deficiencies become more important in Health Care Organizations owing to its particular conditions of resource consumption and waste production. It is, therefore, essential to have objective tools to assist in monitoring environmental sustainability in this type of organization. This Chapter therefore sets out a multicriteria assessment system constructed by extension to a fuzzy environment of the Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), to assess the environmental responsibility of a Health Care Organization. This model allows joint evaluation of a significant number of decision criteria. The aim is to provide a hospital with a model which is easy to apply, with criteria specific to health care, and which allows its responsibility with regard to the environment to be monitored over time. The model has been used in a Public Hospital.

ACS Style

María Carmen Carnero. Model for Assessment of Environmental Responsibility in Health Care Organizations. Encyclopedia of Information Science and Technology, Fourth Edition 2018, 3131 -3143.

AMA Style

María Carmen Carnero. Model for Assessment of Environmental Responsibility in Health Care Organizations. Encyclopedia of Information Science and Technology, Fourth Edition. 2018; ():3131-3143.

Chicago/Turabian Style

María Carmen Carnero. 2018. "Model for Assessment of Environmental Responsibility in Health Care Organizations." Encyclopedia of Information Science and Technology, Fourth Edition , no. : 3131-3143.

Article
Published: 21 September 2017 in Water Resources Management
Reads 0
Downloads 0

Health care organizations are important consumers of domestic water, not only for human consumption, but also for the proper working of care services such as dialysis, and processes including laboratory analysis and laundering. Nonetheless, despite the importance of production and storage systems for domestic water, there is no objective mathematical model to facilitate decision making about maintenance. This article describes an innovative multicriteria model integrating Markov chains with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach to choose the best combination of maintenance policies to apply in a Hospital. This model was constructed using a decision group comprising representatives of each care area and service at the Hospital. The study describes the real implications for availability and quality of care of applying the results obtained. The criteria, descriptors, alternatives and procedures presented in this paper may serve as standards for other health care organizations that wish to optimize maintenance applied to production and storage systems for domestic water.

ACS Style

María Carmen Carnero; Andrés Gómez. Optimization of Maintenance in Production and Storage Systems for Domestic Water. Water Resources Management 2017, 32, 359 -380.

AMA Style

María Carmen Carnero, Andrés Gómez. Optimization of Maintenance in Production and Storage Systems for Domestic Water. Water Resources Management. 2017; 32 (1):359-380.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez. 2017. "Optimization of Maintenance in Production and Storage Systems for Domestic Water." Water Resources Management 32, no. 1: 359-380.

Journal article
Published: 20 August 2017 in Symmetry
Reads 0
Downloads 0

Until the last few decades, maintenance has not been considered of special importance by organisations. Thus, the number of studies that assess maintenance performance in a country is still very small, despite the relevance this area has to the level of national competitiveness. This article describes a multicriteria model integrating the fuzzy analytic hierarchy process (FAHP) with multi-attribute utility theory (MAUT) to assess the maintenance performance of large, medium and small enterprises in Spain, before and after the recession, as well as the asymmetries in the state of maintenance between different activity sectors. The weightings are converted to utility functions which allow the final utility of an alternative to be calculated via a Multi-Attribute Utility Function. From the Spanish maintenance data for different industrial sectors in 2005 and 2010, 2400 discrete probability distributions have been produced. Finally, a Monte Carlo simulation is applied for the estimation of the uncertainty. The results show that the economic crisis experienced by Spain since 2008 has negatively affected the level of maintenance applied, rather than it being considered an area that could deliver cost reductions and improvements in productivity and quality to organisations.

ACS Style

María Carmen Carnero. Asymmetries in the Maintenance Performance of Spanish Industries before and after the Recession. Symmetry 2017, 9, 166 .

AMA Style

María Carmen Carnero. Asymmetries in the Maintenance Performance of Spanish Industries before and after the Recession. Symmetry. 2017; 9 (8):166.

Chicago/Turabian Style

María Carmen Carnero. 2017. "Asymmetries in the Maintenance Performance of Spanish Industries before and after the Recession." Symmetry 9, no. 8: 166.

Journal article
Published: 01 June 2017 in Energy
Reads 0
Downloads 0
ACS Style

María Carmen Carnero; Andrés Gómez. Maintenance strategy selection in electric power distribution systems. Energy 2017, 129, 255 -272.

AMA Style

María Carmen Carnero, Andrés Gómez. Maintenance strategy selection in electric power distribution systems. Energy. 2017; 129 ():255-272.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez. 2017. "Maintenance strategy selection in electric power distribution systems." Energy 129, no. : 255-272.

Journal article
Published: 25 March 2017 in Sustainability
Reads 0
Downloads 0

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.

ACS Style

María Carmen Carnero; Andrés Gómez. A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital. Sustainability 2017, 9, 493 .

AMA Style

María Carmen Carnero, Andrés Gómez. A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital. Sustainability. 2017; 9 (4):493.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez. 2017. "A Multicriteria Model for Optimization of Maintenance in Thermal Energy Production Systems in Hospitals: A Case Study in a Spanish Hospital." Sustainability 9, no. 4: 493.

Chapter
Published: 01 January 2017 in Advances in Healthcare Information Systems and Administration
Reads 0
Downloads 0

Maintenance decisions by medical staff play an essential role in achieving availability, quality and safety in care services provided. This has, in turn, an effect on the quality of care perceived by patients. Nonetheless, despite its importance, there is a serious deficiency in models facilitating optimization of maintenance decisions in critical care equipment. This chapter shows a decision support system (DSS) for choosing the best combination of maintenance policies, together with other actions for improvement, such as the increase in the number of back-up devices used in the assisted breathing unit in the Neonatology Service of a hospital. This DSS is combined with an innovative form of continuous time Markov chains, and the multicriteria Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH). The result is a ranking of the various maintenance alternatives to be applied. Finally, the real implications for availability and quality of care of applying the best solution are described.

ACS Style

María Carmen Carnero; Andrés Gómez; Anastasius Moumtzoglou; Elham Akhond Zadeh Noughabi; Bijan Raahemi; Amir Albadvi; Behrouz H. Far. Optimization of Maintenance in Critical Equipment in Neonatology. Advances in Healthcare Information Systems and Administration 2017, 26 -48.

AMA Style

María Carmen Carnero, Andrés Gómez, Anastasius Moumtzoglou, Elham Akhond Zadeh Noughabi, Bijan Raahemi, Amir Albadvi, Behrouz H. Far. Optimization of Maintenance in Critical Equipment in Neonatology. Advances in Healthcare Information Systems and Administration. 2017; ():26-48.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez; Anastasius Moumtzoglou; Elham Akhond Zadeh Noughabi; Bijan Raahemi; Amir Albadvi; Behrouz H. Far. 2017. "Optimization of Maintenance in Critical Equipment in Neonatology." Advances in Healthcare Information Systems and Administration , no. : 26-48.

Chapter
Published: 01 January 2017 in Advances in Logistics, Operations, and Management Science
Reads 0
Downloads 0

The aim of this article is to select the most suitable combination of maintenance policies in the different subsystems that make up an operating theatre. To do so a multicriteria model will be developed using the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) technique considering multiple decision centres: The Hospital's technical services, environment and occupational risk prevention managers, healthcare managers (operating theatres and health activity programming), healthcare staff, technicians, purchasing service managers and Hospital executives. The model uses functional, safety and technical-economical criteria, amongst which is availability. Mean availability for repairable systems has been measured to assess this criterion, using Markov chains from the data obtained over three years from the subsystems of a Hospital operating theatre. All this is aimed at increasing the operating theatre's availability and, consequently, increasing physical safety in patient operations and reducing the number of delayed operations due to technical malfunctions.

ACS Style

María Carmen Carnero; Andres Gomez. Multicriteria Model for the Selection of Maintenance Policies in Subsystems of an Operating Theatre. Advances in Logistics, Operations, and Management Science 2017, 32 -61.

AMA Style

María Carmen Carnero, Andres Gomez. Multicriteria Model for the Selection of Maintenance Policies in Subsystems of an Operating Theatre. Advances in Logistics, Operations, and Management Science. 2017; ():32-61.

Chicago/Turabian Style

María Carmen Carnero; Andres Gomez. 2017. "Multicriteria Model for the Selection of Maintenance Policies in Subsystems of an Operating Theatre." Advances in Logistics, Operations, and Management Science , no. : 32-61.

Chapter
Published: 01 January 2017 in Advances in Logistics, Operations, and Management Science
Reads 0
Downloads 0

Many investigations led to show that no crack begins to propagate to an increase of stress intensity factor. The life of the components of a structure containing premature cracks, can be governed by the degree of subcritical crack propagation. Thus, knowledge of crack propagation to determine the fatigue of the structure is necessary. One problem of steels of high resilience is their low toughness in the HAZ, when they are welded with a high heat input. In this work we have studied nine specimens that have been welded under a submerged arc welding process controlling the welding parameters and checking in the HAZ of such specimens, critical tensions at the ends of the cracks, the critical cracks lengths and stress intensity factors. It is intended to check that the parameters that indicate the values of fracture mechanics in the HAZ, after heat cycle to which the steel has undergone, under a process with a maximum heat input of 2.327kJ /mm, they are still valid, with the welding parameters applied. It is checked a correlation between the theoretical and experimental values.

ACS Style

Rafael González-Palma; María Carmen Carnero; Carlos López-Escobar; David Almorza; Pedro Mayorga. Compatibility Welding Parameters with the Results Obtained in Testing of Fracture Mechanics in HSLA Steel. Advances in Logistics, Operations, and Management Science 2017, 163 -193.

AMA Style

Rafael González-Palma, María Carmen Carnero, Carlos López-Escobar, David Almorza, Pedro Mayorga. Compatibility Welding Parameters with the Results Obtained in Testing of Fracture Mechanics in HSLA Steel. Advances in Logistics, Operations, and Management Science. 2017; ():163-193.

Chicago/Turabian Style

Rafael González-Palma; María Carmen Carnero; Carlos López-Escobar; David Almorza; Pedro Mayorga. 2017. "Compatibility Welding Parameters with the Results Obtained in Testing of Fracture Mechanics in HSLA Steel." Advances in Logistics, Operations, and Management Science , no. : 163-193.

Research article
Published: 08 May 2016 in Shock and Vibration
Reads 0
Downloads 0

The benefits of applying the vibration analysis program are well known and have been so for decades. A large number of contributions have been produced discussing new diagnostic, signal treatment, technical parameter analysis, and prognosis techniques. However, to obtain the expected benefits from a vibration analysis program, it is necessary to choose the instrumentation which guarantees the best results. Despite its importance, in the literature, there are no models to assist in taking this decision. This research describes an objective model using Fuzzy Analytic Hierarchy Process (FAHP) to make a choice of the most suitable technology among portable vibration analysers. The aim is to create an easy-to-use model for processing, manufacturing, services, and research organizations, to guarantee adequate decision-making in the choice of vibration analysis technology. The model described recognises that judgements are often based on ambiguous, imprecise, or inadequate information that cannot provide precise values. The model incorporates judgements from several decision-makers who are experts in the field of vibration analysis, maintenance, and electronic devices. The model has been applied to a Health Care Organization.

ACS Style

María Carmen Carnero. Fuzzy Multicriteria Model for Selection of Vibration Technology. Shock and Vibration 2016, 2016, 1 -18.

AMA Style

María Carmen Carnero. Fuzzy Multicriteria Model for Selection of Vibration Technology. Shock and Vibration. 2016; 2016 ():1-18.

Chicago/Turabian Style

María Carmen Carnero. 2016. "Fuzzy Multicriteria Model for Selection of Vibration Technology." Shock and Vibration 2016, no. : 1-18.

Journal article
Published: 23 April 2016 in BMC Medical Informatics and Decision Making
Reads 0
Downloads 0

Healthcare organizations have far greater maintenance needs for their medical equipment than other organization, as many are used directly with patients. However, the literature on asset management in healthcare organizations is very limited. The aim of this research is to provide more rational application of maintenance policies, leading to an increase in quality of care. This article describes a multicriteria decision-making approach which integrates Markov chains with the multicriteria Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), to facilitate the best choice of combination of maintenance policies by using the judgements of a multi-disciplinary decision group. The proposed approach takes into account the level of acceptance that a given alternative would have among professionals. It also takes into account criteria related to cost, quality of care and impact of care cover. This multicriteria approach is applied to four dialysis subsystems: patients infected with hepatitis C, infected with hepatitis B, acute and chronic; in all cases, the maintenance strategy obtained consists of applying corrective and preventive maintenance plus two reserve machines. The added value in decision-making practices from this research comes from: (i) integrating the use of Markov chains to obtain the alternatives to be assessed by a multicriteria methodology; (ii) proposing the use of MACBETH to make rational decisions on asset management in healthcare organizations; (iii) applying the multicriteria approach to select a set or combination of maintenance policies in four dialysis subsystems of a health care organization. In the multicriteria decision making approach proposed, economic criteria have been used, related to the quality of care which is desired for patients (availability), and the acceptance that each alternative would have considering the maintenance and healthcare resources which exist in the organization, with the inclusion of a decision-making group. This approach is better suited to actual health care organization practice and depending on the subsystem analysed, improvements are introduced that are not included in normal maintenance policies; in this way, not only have different maintenance policies been suggested, but also alternatives that, in each case and according to viability, provide a more complete decision tool for the maintenance manager.

ACS Style

María Carmen Carnero; Andrés Gómez. A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations. BMC Medical Informatics and Decision Making 2016, 16, 1 -22.

AMA Style

María Carmen Carnero, Andrés Gómez. A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations. BMC Medical Informatics and Decision Making. 2016; 16 (1):1-22.

Chicago/Turabian Style

María Carmen Carnero; Andrés Gómez. 2016. "A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations." BMC Medical Informatics and Decision Making 16, no. 1: 1-22.