20 resultados para decision support systems, GIS, interpolation, multiple regression

em Universidade Federal do Rio Grande do Norte(UFRN)


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Telecommunication is one of the most dynamic and strategic areas in the world. Many technological innovations has modified the way information is exchanged. Information and knowledge are now shared in networks. Broadband Internet is the new way of sharing contents and information. This dissertation deals with performance indicators related to maintenance services of telecommunications networks and uses models of multivariate regression to estimate churn, which is the loss of customers to other companies. In a competitive environment, telecommunications companies have devised strategies to minimize the loss of customers. Loosing customers presents a higher cost than obtaining new ones. Corporations have plenty of data stored in a diversity of databases. Usually the data are not explored properly. This work uses the Knowledge Discovery in Databases (KDD) to establish rules and new models to explain how churn, as a dependent variable, are related to a diversity of service indicators, such as time to deploy the service (in hours), time to repair (in hours), and so on. Extraction of meaningful knowledge is, in many cases, a challenge. Models were tested and statistically analyzed. The work also shows results that allows the analysis and identification of which quality services indicators influence the churn. Actions are also proposed to solve, at least in part, this problem

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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales

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Operating industrial processes is becoming more complex each day, and one of the factors that contribute to this growth in complexity is the integration of new technologies and smart solutions employed in the industry, such as the decision support systems. In this regard, this dissertation aims to develop a decision support system based on an computational tool called expert system. The main goal is to turn operation more reliable and secure while maximizing the amount of relevant information to each situation by using an expert system based on rules designed for a particular area of expertise. For the modeling of such rules has been proposed a high-level environment, which allows the creation and manipulation of rules in an easier way through visual programming. Despite its wide range of possible applications, this dissertation focuses only in the context of real-time filtering of alarms during the operation, properly validated in a case study based on a real scenario occurred in an industrial plant of an oil and gas refinery

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This thesis shows concepts and models related to customer satisfaction measurement, focusing in detail on patients satisfaction evaluations in a policlinic sector of a hospital located in Natal RN. To reach this aim, two hundred and fifty one patients of this hospital were interviewed. The methodology approach includes a theoretical basis through a review and study of previous research on the topic, governmental initiatives and management systems which deal with excellence and need more reports concerning customers perceptions about satisfaction. Furthermore, it was included some models of nationals index about customer satisfaction. The Norwegian model was used in this thesis. The use of this approache, together with a multiple regression analysis, led to results that shows the factors which affect patients satisfaction in a policlinic sector. They are four as following: The evaluation of physician attendance; its results; simplicity of accessibility when health services are needed; and both support and tranquility given by the hospital. The study results can support researches of a conceptual model to determinate the aspects which affect the patient s satisfaction and could be a contribution to a development of a national costumer satisfaction index

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The use of Geographic Information Systems (GIS) has becoming very important in fields where detailed and precise study of earth surface features is required. Applications in environmental protection are such an example that requires the use of GIS tools for analysis and decision by managers and enrolled community of protected areas. In this specific field, a challenge that remains is to build a GIS that can be dynamically fed with data, allowing researchers and other agents to recover actual and up to date information. In some cases, data is acquired in several ways and come from different sources. To solve this problem, some tools were implemented that includes a model for spatial data treatment on the Web. The research issues involved start with the feeding and processing of environmental control data collected in-loco as biotic and geological variables and finishes with the presentation of all information on theWeb. For this dynamic processing, it was developed some tools that make MapServer more flexible and dynamic, allowing data uploading by the proper users. Furthermore, it was also developed a module that uses interpolation to aiming spatial data analysis. A complex application that has validated this research is to feed the system with data coming from coral reef regions located in northeast of Brazil. The system was implemented using the best interactivity concept provided by the AJAX model and resulted in a substantial contribution for efficiently accessing information, being an essential mechanism for controlling events in the environmental monitoring

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This study examines the complex hotel buyer decision process in front of the tourism distribution channels. Its objective is to describe the influence level of the tourism marketing intermediaries, mainly the travel agents and tour operators, over the hotel decision process by the buyer-tourist. The data collection process was done trough a survey with three hundred brazilian tourists hosted in nineteen hotels of Natal, capital of Rio Grande do Norte, Brazil. The data analysis was done using some multivariate statistic techniques as correlation analysis, multiple regression analysis, factor analysis and multiple discriminant analysis. The research characterizes the hotel services consumers profile and his trip, and identifying the distribution channels used by them. Furthermore, the research verifies the intermediaries influence exercised over hotel buyer decision process, looking for identify causality relations between the influence level and the buyer profile. Verifies that information about hotels available on internet reduces the probability that this influence can be practiced; however it was possible identifying those consumers considers this information complementary and non-substitutes than the information from intermediaries. The characteristics of the data do not allow indentifying the factors that constraint the intermediaries influence neither identifying discriminant functions of the specific distribution channel choice by consumers. The study concludes that consumers don t agree in have been influenced by intermediaries or don t know if they have, still considering important to consult them and internet doesn t substitute their function as information source

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The discussions wherein develop proposals for university reform in Brazil include, among other things, the conception of the university titled "New University", whose structural origin comes from the bill of higher education reform and unification of the foundations of education European upper (Bologna process). At its core, the Bologna process has imposed a series of transformations, among which, the promotion of mobility, as a stimulus to interinstitutional cooperation to enable an better and bigger qualification of the students. Nevertheless, what we see is that this point is one of the main points made flawed by Brazilian institutions that have adopted this model of higher education. An example is the Bachelor of Science and Technology - BC&T, Federal University of Rio Grande do Norte - UFRN, where there are problems of the internal order, represented by the problem of the reusing of the disciplines, such also of external order, in cases of transfers interinstitutional. Because of this, and knowing that this is a typical problem in which multiple criteria are involved, the aim of this study is to propose a multicriteria model for selection of interciclo of the BC&T of the UFRN which addresses the issue of mobility. For this, this study was of exploratory and study case nature, use as tools of data collection, the bibliographic and documentary research, as well as semi-structured interviews. For the elaboration of the model, were used the five phases most commonly used in the modeling of problems in operational research in a sample of 91 students of BC&T. As a result, we obtained a model that addresses the issue of internal and external mobility of the school and that, moreover, was also more robust and fair than the current model of BC&T and also what is used in other courses of the UFRN, taking into consideration the expected results by the decision makers

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The ability to work, considered as resulting from a dynamic process between the individual resources in relation to their work, influenced from various factors such as sociodemographic, lifestyle, aging process and requirements of work. Aiming analyze the ability to work in a population of public servants, the study analyzed 132 public servants volunteers of the infrastructure sector, in a Federal Institution of Higher Education of the state of Rio Grande do Norte, Northeast, Brazil. Data were collected through a questionnaire called the Index of Capacity for Work - ICT. The variable analysis was done by using descriptive statistics of means, standard deviations, median minimum and maximum values of the scores of quantitative variables. The joint analysis of the variables was performed by multiple linear regression. The server had low capacity to work 11 (8.33%), moderate 31 (23.48%), good 54 (40.91), and Great 28 (21.21). Multiple regression analysis, adjusted for age, sex, education, age started to work, length of service, current capacity and full of disease, showed that best explained the variation of the CTI were age, current capacity and full of disease. The survey showed that 75% of the servers showed ICT below 43, so capacity low, moderate or good and only 25% of respondents had the CTI servers over 43 points, so great capacity for work. According to the recommendations of FIOH - Finnish Institute of Occupational Health, for servers that have these scores be implemented whose objective is to restore the ability to work which is low, improving the capacity for moderate work, support the capacity for the good work and maintain the ability to work great. Therefore, we recommend that the ICT is implemented in other units of the IFES survey in the perspective of achieving a real situation of all its servers, enabling the implementation of these measures as necessary to promote recovery and health of its employees.

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This thesis deals with the factors affecting customer satisfaction and loyalty in the supermarket sector. It is adapted a model proposed by Johnson et al. (2001) and included the brand construct as a loyalty of construct antecedent. It is conducted a survey with a sample of 290 customers of a supermarket in Natal city, Brazil, and descriptive and multiple regression statistical analysis. The main findings are that the proposed model is confirmed with quality being the main factor affecting satisfaction, but also in this case the place marketing construct playing a key role on satisfaction. The loyalty model is also supported by this research with the brand construct appearing important for a segment of the customers. This study support the conclusion that customer satisfaction is not the sole or main factor to explain loyalty

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The objective of this thesis was studying the factors which contribute to customer s satisfaction and loyalty, focusing the Norwegian model of satisfaction and loyalty of the consumer, applied in the sector of hotel services in Natal/RN, Brazil. The theoretical research was led through the concepts of service quality, customer satisfaction and loyalty, models of quality management systems, national index of customer s satisfaction and methods which evaluate the customer s satisfaction. The field research was carried through from December 1st of 2004 to 24 st, among 381 international tourists who had been housed in the hotels of Natal. The analyses of the data had been made through the descriptive statistics and analysis of multiple regression. The results had evidenced that the main precedents variables of satisfaction had been: hotel s room, staff friendliness, hotel restaurant food and price paid; these are factors which explained, in 56,0% the variation of satisfaction with hotels. In relation to the constructs which had influenced the tourist s loyalty, were founds: tourist s satisfaction, hotel image and affective commitment, which had explained 53.0% of the data variability. The complaint management resulted as a basic factor for the tourist s satisfaction and loyalty

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The objective of the work was to investigate, from the vision of travel agents, the importance of environmental practices as a decision factor in the purchase of a tourist package. For in such a way, it was established as target population, the travel agencies and tourism linked to he Brazilian Association of Travel agencies ABAV, hearing the Brazilian travel agents that exerted the function in Natal, city in 2005. The election of the sample was accomplished using the simple random sampling technique. The amount of agents effectively searched was of 150 agents being distributed 150 questionnaires, with closed and opened questions, applied during the month of November in 2005. Results showed great variability of interviewed answers in that if it relates for sale of package tourist where the customer demonstrates enviromental concern with the environmental quality. Through multiple regression analyses, it was environmental concern with the environmental quality of the place and the perception of the practical importance of the existence environmental practices in the place as important factor in the decision of tourist package purchase

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This Master of Science Thesis deals with the customer satisfaction and loyalty focusing on a private higher education institution in Belém city, Brazil. The literature review focuses on costumer satisfaction and loyalty concepts and theory, models of quality managing systems and methodologies of costumer satisfaction measurement. The research was a survey with a random stratified sample of 329 undergraduate students of Business Administration at the Faculdade do Pará , in the morning and the night periods. The data analysis was made through the descriptive statistics and multiple regression analysis. The main findings are that the model was satisfactory and the main factors affecting Satisfaction to the School were Best Professor Didatics (beta=0.297), Courses Contents (beta=0.280), Clerks Sympathy (beta=0.201), and Number of Students in Classroom (beta=0,187) with a adjusted R2 = 0,47. The main factors affecting School Loyalty with an adjusted R2 = 0,43 were School Image (beta=0.383), Affective Commitment (beta=0.255), and Satisfaction with Professors (beta=0,218). The findings suggest also that may be differences between the set of students and those that complain for something

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This Thesis deals with entrepreneurship on higher education undergraduate programs. The main objective is investigating the effectiveness of entrepreneurship education in terms of entrepreneurial attitudes and behavior. The study is done on a University that has an entrepreneurship education program on a Business Management undergraduate program. It is conducted a survey using a questionnaire on the Business Management undergraduate students resulting in a random stratified sample of 264 students. The entrepreneurial attitudes variables used are those found on the entrepreneurship literature. The entrepreneurial behavior variables are typical entrepreneurial situations like a decision on how to apply money and if the student would leave a good job to open his or her own company. It is applied multiple regression, cluster, bivariate and chi-square analysis. The main findings are first that it was not found a strong relationship between the entrepreneurial attitudes variables found on the entrepreneurship literature and the behavior situation proposed, with a multiple regression adjusted r2 = 0,30. Second, there is no statistically significant difference among the students comparing different years of the undergraduate program. Finally, the entrepreneurship education in this research appears to be effective in change attitudes toward entrepreneurship but not in changing entrepreneurial behavior. The main theoretical implication is that the entrepreneurship education on higher education level could be effective to change attitudes but changing behavior could goes beyond the possibilities of education on a usual university environment

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The organic products represent one of the main trends of alimentary consumption in the new century. In Brazil, the answer is already well representative which it becomes the country, as a great consuming and exporting market of products of LVF type. The objective of this research was to investigate the factors capable to influence the food consumer in its purchase decision of organic products in the supermarkets of Teresina, capital of Piauí State. The methodology was exploratory and descriptive, using survey, with closed and opened questions in 542 interviewed. The questionnaire was based on projected scales to evaluate the factors that can influence the purchase decision of organic products, whose variable had been grouped in the following groups: behavior, knowledge, interest, competitiveness, importance, barrier and profile. The used statistical techniques were descriptive analysis and multiple regression analysis. The results demonstrate interest of the population in paying more for the organic product, due to better quality of life, however it lacks to one better spreading and greater sensitization to attract these consumers. Some recommendations and proposals are presented after the results, as suggestions for future research

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The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent