1 11 th INTERNATIONAL WORKSHOP ON OPERATIONS RESEARCH Havana; March 10-13, 2015 Main Themes: OR & Human Welfare: Health Environment and Education. Organized by: Universidad de La Habana. Université Paris 1, Panthéon-Sorbonne. Co sponsors: Asociación Latinoamericana de Investigación Operativa. Sociedad Cubana de Matemática y Computación (SC Investigación Operacional). Oficina del Historiador de la Ciudad. American Statistical Association..
2 Committees Organizing Committee Raúl Guinovart Diaz: Decano, Facultad de Matemática y Computación, Genry Pérez. Program Committee S. Allende [Chair, Havana], L. Alvarez [Havana], A. Arcos [Granada], M.L. Baguer [Havana], C. Bouza [Havana], G. Bouza [Havana], R. Caballero [Málaga], B. Cornet [Paris 1-Kansas], M. Cortés [Cienfuegos], D. Covarrubias [Chilpancingo], M. Cottrell [Chair, Paris 1], J. Cochran [Alabama] J. Daduna [Berlin], Espín [Havana], P. Gaubert [Paris 12], J. Guddat [Honor Chair, Berlin], C. Hardouin, [Paris Ouest Nanterre], S. Hernadez [Xalapa], J. C. Juvier [Las Palmas], A.M. Lara [Granada], M. A. León [Pinar del Río], A. Marrero [Havana], A. Mesejo [Havana], M. Negreiros [Forteza], M. Nicado [Havana], M. Olteanu [Paris 1], J. Otero [Havana], J. Rückman [Norway], A. Ruiz [Havana], Ch.Tammer [Halle], L. Sandoval [Puebla], V. Sistachs [Havana], J.L. Verdegay [Granada], B-A. Wickström [Berlin], A. Xavier [Rio de Janeiro].
3 Index Lecturers... 4 Timetable... 5 Plenary Lectures...12 Main Lectures Contributions Plenary Lecturers...43 Main Lecturers List of Participants...46
4 Lecturers Plenary speakers M. Ahlheim (Germany). J. Cochran (USA). M. Negreiros (Brazil). J. Rynkiewicz(France). Main speakers L. R. Keller (USA). M. Oliveira (Brazil). J. Rynkiewicz.
5 Timetable Tuesday Morning 8:30-9:45: Registration, Salón del Monte, Ambos Mundos Hotel. 9:45-10:30: Opening Address, Salón del Monte, Ambos Mundos Hotel. 11:00-13:00: Gathering Party, Restaurant La Dominica. Tuesday Afternoon (to be held at Colegio San Gerónimo de la Habana) 13:00-14:00: M. Ahlheim: The economic valuation of changes in land use towards more sustainability An empirical example from southwest China. (Opening Lecture). Room 1. Introducer: B. A. Wickström. 14:00-14:20: Coffee Break. Time Room 1 Room 2 14:20-15:40 Mathematical Models I Applications to Economy II Session: Mathematical Models I. Room 1. Chair: A. Leon. Time Speaker Talk 14:20-14:40 Koné, M.I. Pontryagin Maximum Principle in Optimal Control with delay in state space. 14:40-15:00 Rabenoro, T. Leveraging experts knowledge to improve diagnostics on aircraft engine. 15:00-15:20 Skala, V. A practical use of radial basis functions interpolation and approximation. 15:20-15:40 Bouza, G. A comparison between smoothing and regularization approaches for MPCC. Session: Applications to Economy II. Room 2. Chair: A. F. Arguello Ortiz. Time Speaker Talk 14:20-14:40 Salgado, L. Evaluación de la pobreza, desarrollo comunitario o desarrollo local y el municipio. 14:40- Caamal Cauich. Seasonality of Mexico Persian lime prices. 15:00 15:00-15:20 15:20-15:40 I. Garcia Rodríguez, J. F. Caamal Cauich. I. Pobreza y otros determinantes socioeconómicos y financieros del acceso a vivienda de interés prioritario en América Latina. El caso colombiano. Behavior of agricultural interest rates in Mexico.
6 15:40-16:00 Priego Hernández, O. Los escenarios de la globalización y la pobreza en México. Wednesday Morning 9:00-10:00: J. Cochran: The education generation gap: confronting and embracing the challenges that growing computing power and new technology present to Applied Mathematics Education. (Plenary Lecture). Room 1. Introducer: Sira Allende. 10:00-10:20: Coffee Break. Time Room 1 Room 2 14:20-15:40 Economics and Decisions Models Teaching Effectiveness Colloquium I Session Economics and Decisions Models. Room 1. Chair: M. Ahlheim. Hour Speaker Talk 10:20- Collier, I. L. Distribution and redistribution in a downton 10:40 10:40-11:00 11:00-11:20 11:20-11:40 11:40-12:00 Gonçalo B. P. R. Wickström, B. A Klunover, D. Sarin, R. K. abbey economy. Calculate characterization of monopsonic degree into the waste solid market in large metropolitan of Brazil. Language rights: a welfare-economics approach. The theory of sequential lotteries. Guided decision processes. Teaching Effectiveness Colloquium I, Room 2. Chair: J. Simon. Hour Speaker Talk 10:20- Cochran, J. Active learning: reengaging and reenergizing your 11:00 11:00-11:20 11:20-11:40 11:40-12:00 J Baltazar, J.C. Gaviño, G. Vázquez, Y. students and their instructor. (Main Lecture) Employment of new graduates in the Mexican labor market (case study, University of the State of Mexico). Econometric & statistical response model applied to socio-economical careers at UAEM. C. U. Valle de México. Hiperentorno basado en objetos de aprendizaje destinado a la asignatura análisis de datos (Estadística) para la carrera de Cultura Física. 12:00- Allende, S. Teaching OR in different contexts 12:20 12:00-14:00: Lunch Break.
7 Wednesday Afternoon Time Room 1 Room 2 14:00-16:00 Análisis de Grandes Volúmenes de Datos Textuales Teaching Effectiveness Colloquium II Conversatorio Internacional: Análisis de grandes volúmenes de datos textuales. Room 1. Coordinador: S. Hernández. Panelistas: A. Agüero, M. Laborde y M. Oller. Teaching Effectiveness Colloquium II, Room 2. Chair: G. Gaviño. Hour Speaker Talk 14:00-14:40 14:40-15:00 Keller, L.R. Reyes, H. Teaching multi-objective multi- stakeholder decision modeling with cases (Main lecture) Modelación estadística sobre el egreso de universitarios de ciencias exactas de la FCFM- BUAP. 15:00-16:00: Poster Session 1, Room 2. Chair: Y. Almeida. Speaker Talk Estévez, S. Influencia del uso de medidas de similaridad semántica para el proceso de minería de opinión en Twitter. Baguer, M.L. Las transformadas de Watershed y Waterfall para la segmentación de imágenes de la aduana. Estévez, S. Wikipedia as a corpus for Text Mining. Thursday Morning 9:00-10:00: Rynkiewicz, J Assessment of the influence of education level on voting intention for the extreme right in France (Plenary Lecture). Room 1. Chair: C. Bouza. 10:00-10:20: Coffee Break. Time Room 1 Room 2 10:20-12:30 Human Health Studies I Computer Vision and Graphics Session Human Health Studies I. Room 1 Chair M. Oliveira Hour Speaker Talk 10:20-11:00 Sombra, F. Processing: applications in health care and remote sensing of environment. 11:00- Uranga, R. Simulación para evaluar datos faltantes en
8 11:20 modelos de transición en el contexto de ensayos clínicos. 11:20-12:30 Panel Conversatorio: Los métodos matemáticos en la Medicina.
9 Session Computer Vision and Graphics. Room II Chair A. Mesejo. Hour Speaker Talk 10:20- León, A. Movement detection using Wavelet. 10:40 10:40- Mesejo, D. Contrast enhacement for digital mammography 11:00 11:00-11:20 Piad, A. images based on wavelets. E-buffer. A GPU friendly space partitioning based on bounding volume hierarchy of empty-spaces suitable for raycasting applications. A GPU frameworks to compute supervoxels in large medical images. Thursday Afternoon Time Room 1 Room 2 14:00-12:30 Human Health Studies II Poster Session Session Human Health Studies II, Room 1. Chair F. Sombra. Hour Speaker Talk 11:20- Kauffmann, 11:40 C. 12:00-14:00: Lunch Break. 14:00-14:40 14:40-15:00 15:00-15:20 15:20-15:40 Oliveira, M. Lage, A. López, L. Betancourt, J. Evolving an intelligent framework for decisionmaking process in E-health systems. (Main Lecture). Inference of source origin in epidemics and water distribution systems. Prognostic factors for cervical cancer patients in Tabasco, México. Entrenamiento en análisis epidemiológicos para estudiantes de Medicina. 14:00-15:00: Poster Session 2, Room 2. Chair: V. Sistachs. Arcos, M del Gender analysis of medical professionals in Spanish M. public universities. Rueda, M del Un estudio estadístico sobre el uso problemático del M. Tuero A. Viada, C. móvil y personalidad. Meta-analysis of safety and efficacy in patients with diabetic foot ulcers. International projection of Heberprot-P. Tiempo al deterioro de los scores de calidad de vida como una modalidad de análisis longitudinal para pacientes con cáncer de cabeza y cuello tratados con Nimotuzumab.
10 15:00-16:00: Poster Session 3, Room 2. Chair: V. Sistachs. Arcos, A. The use of landline and cell-phone in health surveys. León López, Estudio del pronóstico de la gravedad del paciente: E. neumonías adquiridas en la comunidad. Hospital General Docente Iván Portuondo, San Antonio de los Baños Sistachs, V. Promedio Bayesiano de Modelos en Salud: una revisión. Eduardo, A. Análisis de desempeño académico de los estudiantes en la asignatura de estadística en la Universidad Pedagógica de Benguela República de Angola. Friday Morning 9:00-10:00: Negreiros, M. Capacitated centered clustering problem: applications, models, exact and metaheuristic methods (Plenary Lecture). Room 1. Chair: C. Bouza. 10:00-10:20: Coffee Break. Time Room 1 Room 2 14:00-12:30 Applications of OR Statistical models Session Applications of OR. Room 1 Chair: A. Ruiz. Hour Speaker Talk 10:20-10: :40-11:00 11:00-11:20 11:20-11:40 11:40-12:00 12:00-12:20 Agüero, L. Tamayo, A. García, D Limia, L. Marrero, A. Estévez, S. Nguyen, B. Aplicación del método CDS secuencial para el rediseño de las rutas de distribución en una fábrica productora de helado. Diseño de un procedimiento para la planificación y control de la producción haciendo uso de herramientas matemáticas. Herramienta computacional para la planificación de rutas en el problema de enrutamiento de vehículos considerando una flota heterogénea. Una estrategia por vecindades para el problema de enrutamiento de vehículos con compartimentos. Algoritmo genético semidifuso. Aplicación a un modelo de detección del VIH en Cuba. Influence in Twitter: a proposal based on clustering. A dual method to solve a quadratic program derived from a distance metric learning problem.
11 Session Statistical models. Room 2. Chair. V. Sistachs. Hour Speaker Talk 10:00- Matías Castillo, Análisis de correlación canónica usando 10:20 10:20-10:40 10:40-11:00 11:00-11:20 11:20-11:40 11:40-12:00 B.C. Monterrey, P. Castro Alva, J.J. Zabala Corrales, J. J. Echevarria Molina, C. Bouza, C. algoritmos genéticos. Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales. Cálculos de los tamaños de prueba y niveles de significancia ajustados para la prueba de Blackwelder. Population sampling fuzzy. Statistical analysis in the evaluation of intensity of knowledge work. Ratio type estimation using the knowledge of the auxiliary variable for ranking and estimating. Friday Afternoon 14:00-16:00: Meeting of the network RIDECA: Coordinator C. Bouza. Activities: Presentation of the books: - Pobreza y desigualdad. Una mirada desde la economía y la investigación operacional, J. M. Sautto. - Experiencias en la modelación de la toma de decisiones en la salud humana, medio ambiente y desarrollo humano, tomo 1. J. F. Garcia. Plan of the activities of , C. N. Bouza.
12 Plenary Lectures THE ECONOMIC VALUATION OF CHANGES IN LANDUSE TOWARDS MORE SUSTAINABILITY AN EMPIRICAL EXAMPLE FROM SOUTHWEST CHINA Michael Ahlheim Volkswirtschaftliches Institut, Universität Hohenheim, Germany. Especially in developing and emerging countries we often observe a fundamental conflict between the economic exploitation of land and environmental preservation. Projects aiming at environmental preservation have to be organized by government institutions who also have to pay the project costs out of public funds which could also be used for alterative purposes. In this context the question arises if a certain preservation project is worth its costs from a social point of view or if the public money should better be used otherwise. While the project costs can be calculated on the basis of market prices in most cases this is not possible for the social benefits accruing from such a project. Therefore, special valuation techniques must be applied for their assessment. In this presentation one of these techniques, the so-called Contingent Valuation Method (CVM), will shortly be introduced and then an empirical example from Xishuangbanna in Southwest China will be presented. The cultivation of rubber trees in Xishuangbanna Prefecture in China s Yunnan Province has triggered an unprecedented economic development but it is also associated with severe environmental problems. Rubber plantations are encroaching the indigenous rainforests at a large scale and a high speed in Xishuangbanna. Many rare plant and animal species are endangered by this development, the natural water management is disturbed and even the microclimate in this region has changed over the past years. The present study aims at an assessment of the environmental benefits accruing from a reforestation project partly reversing the deforestation that has taken place over the past years. To this end a Contingent Valuation survey has been conducted in Xishuangbanna to elicit local residents willingness to pay for this reforestation program that converts existing rubber plantations back into forest. The sum of the willingness to pay of all people affected by this program will be interpreted as its social value. It is shown that local people's awareness of the environmental problems caused by increasing rubber plantation is quite high and that in spite of the economic advantages of rubber plantation there is a positive willingness among the local population to contribute financially to a reduction of existing rubber plantations for the sake of a partial restoration of the local rainforest. These results could be used for the practical implementation of a PES (Payments for Eco System Services) system for reforestation in Xishuangbanna.
13 THE EDUCATION GENERATION GAP: CONFRONTING AND EMBRACING THE CHALLENGES THAT GROWING COMPUTING POWER AND NEW TECHNOLOGY PRESENT TO APPLIED MATHEMATICS EDUCATION James J. Cochran University of Alabama, USA. It is almost impossible to overstate the continual (perhaps even continuous) impact and potential impact of increasingly powerful computers and new technology have on education. During our childhoods we developed methods for processing information and understanding concepts that were foreign to our instructors, and now we are faced with the same dilemmas we presented to our instructors; our students have developed methods for processing information and understanding concepts that are foreign to us. It is important for us to understand that this general challenge is not new, and only the circumstances and surroundings change from generation to generation. This can be frustrating for our students and maddening for us, and it leads to many important questions. How do we at the very least cope with, or more hopefully embrace and efficaciously utilize, these new technologies and alternative methods for processing information and understanding concepts? Are these alternative methods for processing information and understanding concepts really new? Would we have developed similar methods for processing information and understanding concepts if the same technology had been readily available during our formative years? In this talk Professor Cochran will address issues that arise when integrating new technology into the classroom and possible strategies for using new technology to make applied mathematics instruction more effective. He will demonstrate several simple uses of technology for educational purposes and will discuss several of his experiences, both positive and negative, with integrating technology into his instructional efforts. CAPACITATED CENTRED CLUSTERING PROBLEM: APPLICATIONS, MODELS, EXACT AND METAHEURISTIC METODS. Marcos Negreiros*, Pablo Batista*, Albert Muritiba** & Augusto Palhano* *Universidade Estadual do Ceará. **Universidade Federal do Ceará. This talk considers the Capacitated Centered Clustering Problem, a recent proposed NPhard problem that can be applied to sales force geographical distribution, division of areas for garbage collection, wholesale distribution, sanitary agent coverages, routing newspaper delivery for subscribers, agro-food supply chain network, allocation of emergency shelters to protect local people during possible natural disasters, computational biology and facility location, etc. We show mathematical models and their effectivity to be solved by state-ofthe-art solvers, new formulations and applications for heterogeneous clustering in TI and Environment. Finally we show exact and most recent strategies used by metaheuristic methods designed which obtain the best results for the majority of difficult instances of the problem proposed by the literature.
14 ASSESSMENT OF THE INFLUENCE OF EDUCATION LEVEL ON VOTING INTENTION FOR THE EXTREME RIGHT IN FRANCE. Joseph Rynkiewicz*, Mohamed Raouf Benmakrelouf** & Wafa Karouche *Université de Paris I, Paris France. **2-USTHB, Algiers - Algeria In France, the Front National has been a growing political party in the last 30 years. After years of stagnant economy, French voters have come to mistrust the political elite or any decisions from the European Union, and have been increasingly receptive the Front National straight-talking approach. The most consistent findings in social research on ethnic attitudes is the negative association between educational attainment and ethnic prejudice: People with higher education are less prejudiced toward ethnic out groups than those with lower education. We might expect, then, that high education will generally prevent people from voting for the extreme right, regardless of their position in the labor market. This point of view, however, is not unanimous and there is an intellectual elite within the extreme right, especially among angry academic white males who are uneasy with the gains of feminism and believe in a left-wing media conspiracy. Hence the link between Extreme Right voting and education is not so obvious. The aim of this paper is first to build a model which takes into account the causality structure of variables (Bayesian Network) and secondly to assess the influence of education on the voting intention for extreme right-wing party by taking into consideration all the possible confounding variables
15 Main Lectures ACTIVE LEARNING: REENGAGING AND REENERGIZING YOUR STUDENTS AND THEIR INSTRUCTOR! James J. Cochran University of Alabama, USA. We in the operations research community understand that OR and Statistics are inherently interesting, relevant, important, and enjoyable disciplines - unfortunately many of our students (particularly those in introductory OR and Statistics courses) don't seem to share this understanding with us! So how do OR and Statistics instructors help students appreciate that OR and Statistics are interesting and relevant and important and enjoyable? Professor Cochran discusses several classroom cases and active learning exercises he has developed and regularly uses to accomplish this goal when teaching introductory OR and Statistics courses. Throughout this session Professor Cochran will emphasize his points with live demonstrations and discussions of several interesting and novel active learning exercises and cases. Card tricks, classroom versions of television game shows, and a teaching case with integrated active learning will be featured. Because many of these exercises are easily transferable across topics, instructor/classroom styles, cultures, national borders, institutions, faculties, programs, and class sizes, it is very likely you will walk away from this session with ideas on how to improve your own teaching (indeed, Professor Cochran will be very disappointed if you don't!). Be prepared audience participation is an integral part of this session, and Professor Cochran may call on you during the session! EVOLVING AN INTELLIGENT FRAMEWORK FOR DECISION- MAKING PROCESS IN E-HEALTH SYSTEMS Leonardo M. Gardini*, Carina Oliveira**, Reinaldo Braga**, Ronaldo Ramos**, Luiz O. M. Andrade*** & Mauro Oliveira** *State University of Ceará (UECE) - Fortaleza, Brazil. **Federal Institute of Ceará (IFCE) - Fortaleza, Brazil. ***Federal University of Ceará (UFC) - Fortaleza, Brazil. This paper presents improvements of LARIISA, a framework that makes use of contextaware information to support decision-making and governance in the public health area. More specifically, two relevant e-health applications are presented to illustrate the LARIISA system. The first one uses Bayesian networks in dengue scenarios. The second application uses ontology to manage home care scenarios. In both cases, the contributions related to the LARIISA framework include patient health diagnosis provided remotely, support for decision-making health systems, and context information for context-aware health systems.
16 TEACHING MULTI-OBJECTIVE MULTI-STAKEHOLDER DECISION MODELING WITH CASES L. Robin Keller* & Jay Simon** *University of California, Irvine, USA **Defense Resources Management Institute, USA Many operations researchers know about the use of decision analysis to decide among alternative investments (such as pharmacological research and development) using decision trees with chance nodes to compute expected monetary value of different alternatives. Such an analysis aims to maximize a single evaluation measure for a single decision maker. We demonstrate less widely known decision analysis techniques using spreadsheet models of the multiple objective perspectives of the decision stakeholders. We show how to teach students to analyze real-life decision problems using case examples and discuss specific skills students are expected to learn, such as dynamic sensitivity analysis using sliders in Excel on objectives weights, and typical student questions and errors during case discussion. This methodology has been taught successfully in business courses for both MBAs (including health care executive MBAs) and undergraduate students. Sometimes, one objectives hierarchy is suitable for a set of stakeholders, and differences in opinions across stakeholders can be characterized by differences in the multiple objectives weights. Examples include the analysis for the merger of the Operations Research Society of America and The Institute of Management Sciences to become INFORMS and planning for protection against radioactive iodine releases in nuclear incidents. In other cases, an objectives hierarchy will be constructed for each stakeholder because their objectives are so different that construction of separate hierarchies better represents their divergent perspectives. Examples include a prostate cancer treatment decision (of former Intel CEO Andy Grove, his family, his company, and his doctors), a tuna fish supplier source selection decision (from the perspectives of the StarKist company, environmentalists, and the San Diego tuna fishing fleet), and the potential siting of a new Home Depot building supply store. Sources: PROCESSING: APPLICATIONS IN HEALTH CARE AND REMOTE SENSING OF ENVIRONMENT Fátima Sombra Medeiros UFC-DETI, Brazil This talk approaches the use of image processing tools in medical applications and in synthetic aperture radar (SAR) systems. We have developed methods that assist health professionals in human posture evaluation and retinal disease detection and identification. The posture evaluation algorithm is capable of identifying posture problems and assesses the physiotherapeutic treatment evolution based on a similarity measure. In fact, it is a suitable and unexpensive solution to help health professional to provide an accurate diagnosis of postural problems and furthermore it reduces errors due to subjective evaluation.
17 Regarding retinal diseases, we have studied the diabetic retinopathy (DR) which is one of the major complications of diabetes mellitus and furthermore it causes severe damage to the retina and consequently to the vision. DR may lead to blindness and therefore it is important to prevent it or early detect and treat it. The diagnosis of DR is performed by visual analysis of retinal images being exudates (fat deposits) the main patterns traced by a specialist doctor. It is noteworthy that early diagnosis through regular monitoring when coupled with proper treatment results in numerous benefits in the prevention of visual impairment. We will present image processing tools which we have developed for optical disk, retina vessel network, exudate and microaneurysm detection in retinal images. Regarding remote sensing of environment applications, we have focused on environmental disasters by using synthetic aperture radar (SAR) systems, which have played an important role in remote sensing. These systems provide oil spills detection and monitoring, that seriously affect the marine ecosystem, providing a more rigorous and effective environment monitoring. Furthermore, SAR images have considerably contributed to understand atmospheric phenomena, land use mapping and monitoring, deforestation assessment, geographic evolution, urban growing rates assessment, agricultural crops monitoring and so on. The potential damage for the environment and economy of the area at stake requires that agencies be prepared to rapidly detect, monitor, and clean up any large spill. Remote sensing of dark spots in the sea is a complex process, due to the simultaneous movement of radar and spots. The presence of an oil film on the sea surface damps out the small waves and reduces the rough surface due to the increased viscosity of the top layer and drastically reduces the measured backscattering energy, resulting in darker areas in SAR imagery. The interest in appraising texture features in this work becomes from the different rough degrees presented in SAR images. Oil spill images are characterized by being less rough when compared to the similar slicks. The diffusion of the electromagnetic waves in the surface of the sea depends, mainly, on the rough surface which is influenced by the presence of winds, currents, waves and parameters of the radar, such as incidence angle, frequency, polarization and resolution. The sea behaves as a specular surface when there are not waves and winds. However, dark areas might not be oil slicks but merely local wind effects or natural oil films due to low winds.
18 Contributions MOVEMENT DETECTION USING WAVELET Milene Acosta Pita *, Ángela León Mecías ** * Neurociencias, Cuba. **Universidad de La Habana, Cuba. Today the intelligent video surveillance systems are imposed on passive surveillance video systems, since these can detect moving objects in the initial stage and then process tasks such as object classification, tracking, behavior description object recognition, among others. This information can be invaluable for safety in general, this includes for instance police investigation departments for legal evidence, traffic monitoring and ecosystem monitoring among others. In this research we intend to apply Discrete Wavelet Transform on motion detection in sequences of images to monitor the movements of patients who are conducting rehabilitation exercises without the presence of a physiotherapist, or for supervision of children who are alone in their woom and surveillance of premises. It is proposed to make the movement detection completely with wavelets, it means preprocessing and motion detection. The idea of the article "Motion detection using Fourier image reconstruction" (Du- Ming Tsai, Wei - Yao Chiu, Taiwan, 2008) was followed but using Discrete Wavelet Transform instead of the Fourier Transform to remove the vertical line pattern (background) and retain only the foreground in the reconstructed image. A simple segmentation is then made. For validation of the performed strategy an extensive experimentation is presented. APLICACIÓN DEL MÉTODO CDS SECUENCIAL PARA EL REDISEÑO DE LAS RUTAS DE DISTRIBUCIÓN EN UNA FÁBRICA PRODUCTORA DE HELADO Liset Agüero Zardón, Idalianys Urquiola Garcia *Instituto Superior Politécnico José Antonio Echeverría, Cujae. Cuba. Todo acto de la vida humana está inevitablemente ligado a un proceso social de producción y no es posible entender ninguna producción sin el consumo y al revés. En la actualidad las empresas conocen que para ser competitivas no es suficiente ofrecer productos de calidad a un costo óptimo de producción, sino que además es necesario que los clientes puedan acceder a ellos en cualquier lugar y situación posible, siempre a un precio razonable; aspecto en el que la planificación de las rutas de distribución juega un papel fundamental. La aplicación de técnicas cuantitativas permite optimizar el diseño y/o rediseño de las rutas de distribución. El presente trabajo propone un algoritmo para el rediseño de las rutas de distribución en una fábrica productora de helado, cuya aplicación permite la disminución de los indicadores de consumo, costos de distribución y distancia recorrida. INFLUENCE EN TWITTER: A PROPOSAL BASED ON CLUSTERING
19 Yudivian Almeida-Cruz, Suilan Estévez-Velarde &Ariel Hernández-Amador University of Havana, Cuba. Twitter is today one of the most important social networks in the Internet. This platform is useful for analyzing the influence that some users have on the rest of the social network. This paper presents a new alternative for estimating a user's influence in Twitter. Instead of trying to devise a new quantitative measure of influence, we propose the use of clustering algorithms to determine users that belong to specific influence groups. We identify and analyze a set of variables, both related to a user and to the structure of the social network itself that characterize his influence. TEACHING OR IN DIFFERENT CONTEXTS Sira Ma. Allende Alonso* C: Bouza* Maclovio Sautto** *Universidad de la Habana, Cuba. **Universidad de Guerrero, Mexico. Undergraduate studies of natural and social sciences include courses on statistics methods Nowadays, the problems tackled by those sciences and the new technologies demand more tools of OR. An example in that sense is the use of combinatorial optimization methods in Molecular Biology. Post-graduate Education has to cover such requirements. Of course, interests on OR differ from one profession to another, consequently, contents and teaching strategies should be different. In this contribution we propose general strategies and configurations of the knowledge for introducing OR contents for education in natural and social science. The strategy is based in the integration of knowledge of different disciplines. We propose an organization of the contents based on the study of cases for no mathematic students, in place of the traditional discipline structure, proper for future mathematicians. GENDER ANALYSIS OF MEDICAL PROFESSIONALS IN SPANISH PUBLIC UNIVERSITIES María del Mar Arcos Universidad de Granada. Spain. In this paper we present the results of a gender study that has been carried out in order to know the status of women within the community of researchers and teachers in Spanish universities in the area of health sciences, and especially in medical degrees. The methodology used for research has been the census study. The data has been provided by the National Statistical Institute of Spain (INE). The analysis was performed disaggregating by professionals from different areas of knowledge related to medicine, with the purpose of finding out in a more accurate way the situation of women in this group. In addition, there have been carried out the counting, not only for the total of teaching and research staff, but also distinguishing each professional according to their category. Based on the results obtained, one can conclude that women are in an unfavorable position in relation to teaching and researching at the Spanish public universities in the area of health sciences. THE USE OF LANDLINE AND CELL-PHONE IN HEALTH SURVEYS Maria del Mar Arcos & Antonio Arcos**
20 Universidad de Granada. Spain. This work is a review of several estimation methods for dual-frame designs in the particular context of telephone surveys. Due to the recent increase of the number of people who has no landline phone but only mobile phone, it is very important nowadays that telephone surveys incorporate landline together with cell-phone samples. Otherwise, large bias may appear in the estimations. Given that the two frames made of landline owners and cellphone owners intersect, some adapted estimation methods have to be used and there are several in the literature. The paper presents the different existing methods and compares these methods on a real health survey concerning the attitude of the Andalusian population regarding the public health system. The results suggest that the use of multiple frames might be useful in other health surveys where good estimates are wanted for both the whole population and particular subgroups at the same time. ECONOMETRIC & STATISTICAL RESPONSE MODEL APPLIED TO SOCIO-ECONOMICAL CAREERS AT UAEM. C. U. VALLE DE MÉXICO. Juan Carlos Baltazar Escalona, Gabriela Gaviño Ortiz & Ángel Manuel Sánchez, Mejorada Zapata UAEM. Centro Universitario Valle de México, Mexico. This research is based on an econometric study to evaluate and predict on a qualitative response model, how the academic performance of students in 9 th semester has been affected by variables (academic and others), during their studies in the undergraduate programs for socio-economical careers, implemented at the UAEM Centro Universitario Valle de México. The whole extent of the present study will explain and determinate how the academic performance has been affected by those factors (13 independent variables considered), and therefore analyze the impact and level of significance that it means, to explain by a regression model the findings. Other output to obtain from this study is the statistical analysis obtained from the data input. The information was obtained by a questionnaire delivered to the whole population on 9 th semester at UAEM CU Valle de México, during September Once the information was obtained it was captured on a SPSS software to obtain the output to do the next steps. The explanatory variables were classified as: academic, economic and socio-demographic. The purpose is to identify which of the analyzed variables determine the academic performance of students and establish some recommendations to UAEM authorities to have a better students performance. The main results of the econometric analysis found that six of the nine academic variables were statistically significant. In this sense, the analysis corroborates that the materials disapproving, loading materials, career choice, career expectations and hours of study influence academic performance. In terms of economic variables, as well as sociodemographic, were not statistically significant, that is, do not affect the academic performance of a student at UAEM CU Valle de México. What strikes the study is that only academic variables explain academic performance. Moreover, contrary to expectations, variables such as age, marital status and employment status not explain that performance. Other variables whose interest was to find out what effect could lead to academic support,