Person:
Barragán Landy, Milton Francisco

Birth Date

1985-10-21

ORCID

0000-0003-4623-6150

Scopus Author ID

57211299206

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ciencias Químicas, Cuenca, Ecuador

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ciencias Químicas

Fundada en 1955 como la Escuela de Química Industrial, la facultad ha sido un pilar fundamental en la formación de profesionales altamente capacitados, comprometidos con el desarrollo de la ciencia, la educación y el bienestar social. La Facultad de Ciencias Químicas pone a consideración su trabajo académico, investigativo y de vinculación con la sociedad, desarrollado a través de la práctica de una docencia de calidad, investigación e innovación en su área de estudio. Desde su oficio de conocimiento se permite contribuir a la sociedad con cuatro carreras: Bioquímica y Farmacia, Ingeniería Química, Ingeniería Ambiental e Ingeniería Industrial. Su carta de presentación en la Academia, la coloca como una dependencia dinámica, donde confluye la solidez de una trayectoria de más de sesenta años. Aquí se trabaja en una continua formación de pregrado y posgrado de la más alta calidad, mediante la mejora continua con la innovación y a la vanguardia de las ciencias químicas.

Job Title

Profesor (T)

Last Name

Barragán Landy

First Name

Milton Francisco

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Now showing 1 - 9 of 9

Feature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings
(2018) Peña Ortega, Mario Patricio; Cerrada, Mariela; Álvarez Palomeque, Lourdes Ximena; Jadán Avilés, Diana Carolina; Lucero, Pablo M; Barragán Landy, Milton Francisco; Guamán Guachichullca, Noé Rodrigo; Sánchez, René Vinicio
The number of features for fault diagnosis in rotating machinery can be large due to the different available signals containing useful information. From an extensive set of available features, some of them are more adequate than other ones, to classify properly certain fault modes. The classic approach for feature selection aims at ranking the set of original features; nevertheless, in feature selection, it has been recognized that a set of best individually features does not necessarily lead to good classification. This paper proposes a framework for feature engineering to identify the set of features which can yield proper clusters of data. First, the framework uses ANOVA combined with Tukey's test for ranking the significant features individually; next, a further analysis based on inter-cluster and intra-cluster distances is accomplished to rank subsets of significant features previously identified. Our contribution aims at discovering the subset of features that discriminates better the clusters of data associated to several faulty conditions of the mechanical devices, to build more robust multi-fault classifiers. Fault severity classification in rolling bearings is studied to verify the proposed framework, with data collected from a test bed under real conditions of speed and load on the rotating device. © 2018 - IOS Press and the authors. All rights reserved.
Anova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
(Institute of Electrical and Electronics Engineers, 2017) Peña Ortega, Mario Patricio; Álvarez Palomeque, Lourdes Ximena; Jadán Avilés, Diana Carolina; Lucero, Pablo; Barragán Landy, Milton Francisco; Guamán Guachichullca, Noé Rodrigo; Cerrada Lozada, Mariela; Peña Ortega, Mario Patricio
The number of extracted features for fault diagnosis in rotating machinery can grow considerably due to the large amount of available data collected from different monitored signals. Usually, feature selection or reduction are conducted through several techniques proposing a unique set of representative features for all available classes; nevertheless, in feature selection, it has been recognized that a set of individually good features do not necessarily lead to good classification. This paper proposes a general framework to analyse the feature selection oriented to identify the features that can produce clusters of data with a proper structure. In the first stage, the framework uses Analysis of Variance (ANOVA) combined with Tukey's test for ranking the significant features individually. In the second stage, a further analysis based on inter-cluster and intra-cluster distances, is accomplished to rank subsets of significant features previously identified. In this sense, our contribution aims at discovering the subset of features that are discriminating better the clusters of data associated to several faulty conditions of the mechanical devices, to build more robust fault multi-classifiers. Fault severity classification in rolling bearings is studied to test the proposed framework, with data collected from an experimental test bed under real conditions of speed and load on the rotating device. © 2017 IEEE.
Costo/beneficio un modelo estratégico para el gestor de la Seguridad y Salud Ocupacional
(2017) Barragán Landy, Milton Francisco; Ledesma Ayora, Fabian Alberto
This paper presents a technical-economic model for managers of occupational health and safety, whose purpose is to determine the feasibility of taking decisions in preventive projects that require investment. The methodology used is based on systematic operations, which allow to perform the respective calculations for the solution of a problem. The model begins with the identification of hazards, measures and evaluates the risk to later propose control measures in function of two decision currents; the first relates to productivity and the second to cost-benefit that converge in the acceptance or rejection of control measures in terms of profitability and return on investment. The proposal was applied in an organization of the city of Cuenca - Ecuador in which the work of an operator was evaluated when a task is carried out in its current environment and after having taken preventive measures; cash flows were also determined on the basis of cost and expense items caused by an accident or occupational disease, owing to the omission by the organization of the legislation which imposes penalties and fines for employer liability
Service quality factors in the construction sector: a literature review
(IOP Publishing, 2020) Barragán Landy, Milton Francisco; Sousa, Sergio Dinis; Romero, Fernando
Published under licence by IOP Publishing Ltd. This paper consists of an exploratory literature review whose main research objectives were the identification of the service quality factors that are considered more important in the construction sector, the service quality models that are used to measure quality, and how are they related to success factors. The research methodology is documental and based on a review of articles obtained from six major scientific databases. The description of the main results follows. In all cases, the traditional models of service quality were used as guidelines to explain and adapt to specific contexts. The typical parameters used in these models are reliability, responsiveness, communication, credibility, assurance, empathy with the client and construction quality. In some cases, additional dimensions were added. Success factors seem to be intrinsically related to project management, communication skills, professional skills, quality of the final product, design, aesthetic and innovation, where the three latter ones represent parameters that have gained recently preponderance. A holistic, flexible and adaptable attitude seems to be relevant to face dynamic and turbulent conditions and changing customer's requirements and expectations. Overall, the results indicate a generalised conservative approach which characterises this sector.
Adaptation mechanisms and service quality dimensions in dynamic and turbulent environments: empirical results
(IOS Press BV, 2021) Barragán Landy, Milton Francisco; Sousa, Sonia; Romero, Fernando
Organizations internally seek to develop adaptation and resilience processes or adaptation mechanisms to cope with drastic changes in the environment in order to survive. The changes in the environment affect the perception of product and service quality by the consumer, which are related to customer satisfaction. The purpose of this work is to identify the service quality dimensions that are nested within organizations and the mechanisms to adapt its processes to the turbulent environment. Twenty-four multiple case studies in the construction sector were developed through semi-structured interviews with customers and managers. The results suggest that there are new service quality dimensions; from the customers perspective such as: requirements management and process optimization, emotional intelligence, ergonomic analysis, permanent training of masons, extra activity, monitoring and others. The adaptation mechanisms that organizations use to guarantee service quality are integral training, saved budget, paradigm change, management system, teamwork, and others
A proposed representative sampling methodology
(Academic Conferences and Publishing International Limited, 2020) Leao, Celina; Barragán Landy, Milton Francisco; Sousa, Sérgio; Romero, Fernando
A representative sample is a subset of a population which ensures that those characteristics of the population which are under analysis are represented as completely as possible. There are different ways of estimating a representative sample of a population. When different and important characteristics of context are relevant (i.e. region, city, sectors by economic activities, economically active population and others), the selection of an appropriate method to collect data must be carefully planned. The research questions that motivated this work were: What method could help define a sector of study in a country? What criteria must be considered to define a sampling method? What is the adequate sample size considering subsectors within the sector of study? Is there any difference between sampling techniques used to define representative samples in a sector? The aim of this document is to establish an interactive and sequential process to select a sampling method and to apply it to define a sample of companies in the construction sector in Ecuador. The methodology was based on four phases; a characterization of the region and the sectors in the country; a population characterization, based on selected parameters; a sampling process based on a literature review; and a comparative analysis between two sampling techniques. A simple random sampling and a stratified random sampling within a selected sector were compared. Based on the obtained samples, 18.46% on average of the data were equally selected, independently of the sampling method. This reveals that the two methods, which answer specific objectives, can be used together to select a smaller sample. This methodology can be applied in business and management studies in other sectors and can provide an economy in terms of the resources needed for data collection without compromising the sample representativeness.
Elaboración de un modelo para la evaluación de la calidad del servicio en restaurantes en Cuenca
(2017) Barragán Landy, Milton Francisco; Vivar Mora, Juan José
This study aimed at revealing, validating and evaluating the dimensions and variables for the measurement of service quality in restaurants that form part of the database of the Tourism's Ministry in Cuenca-Ecuador that includes luxury restaurants, and restaurants of first, second, third and fourth category. In an initial stage managers, owners, chiefs, and experts in the field were interviewed. Through this qualitative study, several quality variables were identified. These variables were then grouped into six dimensions, which were later validated through surveys and finally pondered under the criteria of competitiveness variables and expectation measurements. The result of this study provided a quality measuring scale that is adapted to restaurants and showed that the SERVQUAL evaluation model is generic and that surveys of companies dedicated to measuring the quality perception is not measured correctly.
Sustainable innovation and service quality: an integrated overview
(Academic Conferences and Publishing International Limited, 2019) Romero, Fernando; Barragán Landy, Milton Francisco
© Proceedings of the 14th European Conference on Innovation and Entrepreneurship, ECIE 2019. All rights reserved. Sustainability is today a main concern of society. One way of addressing the problem and the need for sustainability is through innovation in products and services that are geared towards the satisfaction of specific needs of organizations, institutions or costumers related to a demand for products, services or product-services that are friendlier to the environment. Sustainable innovation is thus seen as a way of meeting the expectations of consumers and organizations regarding the delivery of green products or services. Stated in this way, there are two concepts that emerge as fundamental to the study of sustainability: the concept of sustainable innovation and the concept of service quality. The research questions that motivate this research are: what is the relationship between sustainable innovation and service quality? Are the expectations of consumers or organizations being met by the supply of green products and services? What are the implications in terms of changes that organizations or consumers must make? Having in mind these questions, the aim of this document is to explore the relationship between sustainable innovation and service quality in the scientific literature, identifying the factors and interactions that are suggested by it. The research methodology used to achieve that objective was based on a literature review, made with a qualitative approach. A four-point scale was developed to assess, in each article, the level of relation between the two concepts. The scale ranges from high to null relation between the two concepts. Most of the articles propose a positive relation between the two concepts, whereby 58% of the articles reviewed have the category of "high relation", and 31% were categorized as having a "medium relation". The implications for organizations may be the incorporation within their organizational culture of a strategy of integration of sustainable innovation and service quality through a mechanism called social and environmental responsibility.
La evaluación externa una oportunidad para mejorar la calidad de la educación superior. El caso de la Universidad de Cuenca
(RED-DEES, UNTREF, 2015) Capelo Ayala, Delfa Humbertina; Otavalo Guamán, David Leonardo; Barragán Landy, Milton Francisco; Altamirano Cárdenas, María Gabriela; Capelo Ayala, Delfa Humbertina
The work "External evaluation an opportunity to improve the quality of higher education. The case of the University of Cuenca, Ecuador ", is part of the thematic lines" International trends in higher education "and" Planning, direction strategic and quality in the university institutions ", has as purpose to demonstrate that the University of Cuenca assumed the external evaluation made by the Council of Evaluation, Accreditation and Quality Assurance of Higher Education -CEAACES, as an opportunity to implement the improvement Continuing, through a planned management, its academic performance inside and outside the country, for which, a schematic analysis of the process of institutionalization of higher education in Ecuador was made, then, the world trends were analyzed briefly. The third reform of higher education in Ecuador is registered, and finally, through testimonies from authorities, teachers, students and businessmen, the before and after the external evaluation is demonstrated.