Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-04-29T13:34:31Z No. of bitstreams: 1 Marcelo Gonçalves_.pdf: 7823321 bytes, checksum: ae0eb62f4bd23f6f3fe8277e01b01afd (MD5) / Made available in DSpace on 2016-04-29T13:34:31Z (GMT). No. of bitstreams: 1 Marcelo Gonçalves_.pdf: 7823321 bytes, checksum: ae0eb62f4bd23f6f3fe8277e01b01afd (MD5) Previous issue date: 2015-08-19 / Nenhuma / A falta de uma relação quantitativa direta com o resultado da organização torna difícil a decisão sobre qual melhoria deve primeiro receber os recursos disponíveis. Por esta decisão ser uma tarefa difícil e dependente da experiência do gestor, o uso de métodos quantitativos como apoio a tomada de decisão pode torná-la mais assertiva. Este trabalho tem como objetivo explorar a metodologia de análise multicritério para priorização de melhorias intangíveis do processo produtivo, de forma alinhada com o posicionamento estratégico da organização. Para atender este objetivo, esta pesquisa propõe um modelo para priorização de melhorias intangíveis do processo produtivo, empregando a ferramenta estratégica SWOT para agrupar os fatores relevantes, em um cenário de melhoria de processo, para uma empresa do setor ceramista. Esses fatores foram agrupados em clusters e utilizados para construção de uma rede para representar as suas relações de dependência. Em virtude da dependência existente entre os fatores, foi aplicado o método multicritério Analytic Network Process (ANP) o qual analisa, conjuntamente, a influência dos fatores para a priorização de alternativas representadas por melhorias intangíveis em um ambiente produtivo. Tanto os fatores quanto a rede do problema foram definidos por uma equipe de análise composta por gestores e especialistas. Como resultado, apresenta a priorização das melhorias intangíveis, resultado da construção das matrizes não ponderada, ponderada e aplicação da propriedade de matriz limite. Através da realização de uma análise de sensibilidade aos pesos dos clusters, foi verificada a robustez da priorização obtida. / The lack of a direct quantitative relation with the result of the organization makes it difficult to decide which improvements must first receive the resources available. For this decision to be a difficult task and dependent on manager’s experience, the use of methods to support quantitative decision-making can make it more assertive. This study aims to explore the multi-criteria analysis methodology for prioritization of intangible improvements in the production process, in alignment with the strategic positioning of the organization. In order to achieve this objective, this research proposes a model for prioritization of intangible improvements in the production process, using the SWOT analysis tool for clustering the relevant factors in a process improvement scenario for a company of ceramist sector. These factors were clustered and used to build a network to represent their dependency relationships. Due to the interdependence of the factors, the multi-criteria method Analytic Network Process (ANP) was applied to analyze together, the influence of the factors for prioritizing alternative represented by intangible improvements in a productive environment. Both factors and problem network were defined by a team composed of managers and specialists. As a result, this research presents the prioritization of intangible improvements, as the result of the construction of unweighted and weighted matrices followed by the application of the limit process of the weighted matrix. By performing a sensitivity analysis to the weights of the clusters, the robustness of the obtained prioritization has been verified.

Submitted by Biblioteca Digital de Teses e Dissertações (sdi@ucb.br) on 2018-11-08T19:17:12Z No. of bitstreams: 1 WashingtonFábiodeSouzaRibeiroDissertacao2018.pdf: 19934045 bytes, checksum: 1021542a94b950733ab9dfbbda43901b (MD5) / Approved for entry into archive by Sara Ribeiro (sara.ribeiro@ucb.br) on 2018-11-09T16:07:12Z (GMT) No. of bitstreams: 1 WashingtonFábiodeSouzaRibeiroDissertacao2018.pdf: 19934045 bytes, checksum: 1021542a94b950733ab9dfbbda43901b (MD5) / Made available in DSpace on 2018-11-09T16:07:12Z (GMT). No. of bitstreams: 1 WashingtonFábiodeSouzaRibeiroDissertacao2018.pdf: 19934045 bytes, checksum: 1021542a94b950733ab9dfbbda43901b (MD5) Previous issue date: 2018-07-26 / With the growing need for an adequate structure of information technology by organizations, regardless of their size, IT service management is increasingly important, and should be effective and, above all, efficient in pursuit of cost reduction combined with improvement the delivery of services. In this way, deploying models and frameworks of best IT management practices is, today, an essential activity of companies that seek excellence. Another equally important activity is assessing the maturity of IT management processes. The ITIL (IT Infrastructure Library) library is designed for IT service managers to increase the effectiveness of their management as well as the assertiveness of their decisions, by better managing their environments. This research aims to contribute to the area of IT service management, generating inputs for IT managers' decision making in the development of a process-based organizational maturity model for ITIL v3. The proposed MA_ITIL model is composed of three layers based on the AHP (Analytic Hierarchy Process) method, in accordance with the international ISO / IEC 33004 process maturity standard of 2015, which replaced ISO / IEC 15504- 4 of 2003, thus addressing new definitions between organizational maturity of processes and capacity utilization. The research was developed in five stages, which were: to review the literature, to elaborate a maturity model, to elaborate a research survey based on the proposed model, to apply the questionnaire to ITIL v3 specialists and finally to describe the comments and conclusions about the study, so that IT service managers can have mechanisms for managing and measuring the degree of maturity of their ITIL v3 processes, which will assist in the management of technological services. / Com a crescente necessidade de estrutura adequada de tecnologia da informação por parte das organizações, independentemente do seu porte, o gerenciamento de serviços de TI é cada vez mais importante, devendo ser eficaz e, principalmente, eficiente na busca da redução de custos aliada à melhoria da entrega de serviços. Desta forma, implantar modelos e frameworks de melhores práticas de gestão de TI é, hoje, uma atividade essencial das organizações que buscam a excelência. Outra atividade igualmente importante é a avaliação da maturidade dos processos de gestão de TI. A biblioteca ITIL (IT Infrastructure Library) foi desenvolvida para gestores de serviços de TI aumentarem a efetividade da sua gestão assim como a assertividade de suas decisões, gerenciando de forma mais adequada seus ambientes. Essa pesquisa tem a finalidade de contribuir para a área de gerenciamento de serviços de TI, gerando insumos para tomadas de decisões dos gestores de TI no desenvolvimento de um modelo de maturidade organizacional baseado em processos para a ITIL v3. O modelo MA_ITIL proposto é composto por três camadas tendo como base o método AHP (Analytic Hierarchy Process), em conformidade com a norma internacional de maturidade organizacional de processos ISO/IEC 33004 de 2015, que veio a substituir a norma ISO/IEC 15504-4 de 2003, abordando então novas definições entre maturidade organizacional de processos e capacidade de utilização. A pesquisa foi desenvolvida em cinco etapas, que foram: revisar a literatura, elaborar um modelo de maturidade, elaborar uma pesquisa survey baseado no modelo proposto, aplicar o questionário para especialistas ITIL v3 e por fim foi descrito os comentários e conclusões sobre o estudo, de modo que gestores de serviços de TI possam ter mecanismos de administração e medição do grau de maturidade de seus processos ITIL v3, que auxiliarão na gestão de serviços tecnológicos.

O presente trabalho aborda o problema de localização de plataformas logísticas. Buscaram-se métodos de auxílio à tomada de decisão com enfoque multicritério. A essência da tomada de decisão multicritério é a escolha da melhor alternativa, a partir de um conjunto de alternativas competitivas que são avaliadas sob critérios conflitantes. Entre os métodos estudados, o Método de Análise Hierárquica (AHP), proposto inicialmente por Saaty (1971), foi selecionado como ferramenta de apoio à tomada de decisão. Ele permite considerar simultaneamente atributos quantitativos e qualitativos e, também, incorporar a experiência e a preferência dos tomadores de decisão. Foram ainda levantados os fatores determinantes para escolha de alternativas de localização para plataformas logísticas. O caso do ETSP (Entreposto Terminal São Paulo) da CEAGESP (Companhia de Entrepostos e Armazéns Gerais de São Paulo) foi objeto da aplicação do método selecionado. A análise do problema de localização do Entreposto da CEAGESP está restrita à Região Metropolitana de São Paulo. O software Expert Choice foi utilizado para a aplicação do AHP ao caso do CEAGESP. Após a discussão dos resultados, conclusões e recomendações são apresentadas. / This work deals with the facility location problems of logistics platforms, considering multi-criteria approaches for decision making. The essence of multi-criteria decision making is the choice of the best alternative, from a set of competitive alternatives, which are evaluated under conflicting criteria. Among the multi-criteria methods researched in the bibliography, the Analytic Hierarchy Process (AHP), initially proposed by Saaty (1971), has been chosen and successfully applied to the case in consideration. This method allows to consider quantitative and qualitative measurable criteria and, also, to incorporate the experience and preference of the decision makers. Determinant factors for the choice of location alternatives for logistic platforms have been considered. The case of the ETSP (Entreposto Terminal São Paulo) of the CEAGESP (Companhia de Entrepostos e Armazéns Gerais de São Paulo) was object of application of the selected method. The Expert Choice software was used for the AHP application to the CEAGESP case. After discussion of the results, conclusions and recommendations from the application are presented.

Submitted by Kamila Costa (kamilavasconceloscosta@gmail.com) on 2015-06-15T21:53:52Z No. of bitstreams: 1 Dissertação-Larissa M de Almeida.pdf: 5516102 bytes, checksum: e49d2bccd21168f811140c6accd54e8f (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-06-16T15:05:39Z (GMT) No. of bitstreams: 1 Dissertação-Larissa M de Almeida.pdf: 5516102 bytes, checksum: e49d2bccd21168f811140c6accd54e8f (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-06-16T15:07:25Z (GMT) No. of bitstreams: 1 Dissertação-Larissa M de Almeida.pdf: 5516102 bytes, checksum: e49d2bccd21168f811140c6accd54e8f (MD5) / Made available in DSpace on 2015-06-16T15:07:25Z (GMT). No. of bitstreams: 1 Dissertação-Larissa M de Almeida.pdf: 5516102 bytes, checksum: e49d2bccd21168f811140c6accd54e8f (MD5) Previous issue date: 2015-04-17 / Não Informada / About half the world's population lives in malaria risk areas. Moreover, given the globalization of travel, these diseases that were once considered exotic and mostly tropical are increasingly found in hospital emergency rooms around the world. And often when it comes to experience in tropical diseases, expert opinion most of the time is not available or not accessible in a timely manner. The task of an accurate and efficient diagnosis of malaria, essential in medical practice, can become complex. And the complexity of this process increases as patients have non-specific symptoms with a large amount of data and inaccurate information involved. In this approach, Uzoka and colleagues (2011a), from clinical information of 30 Nigerian patients with confirmed malaria, used the Analytic Hierarchy Process method (AHP) and Fuzzy methodology to conduct the evaluation of the severity of malaria. The results obtained were compared with the diagnosis of medical experts. This paper develops a new methodology to evaluate the severity of malaria and compare with the techniques used by Uzoka and colleagues (2011a). For this purpose the data set used is the same of that study. The technique used is the Artificial Neural Networks (ANN). Are evaluated three architectures with different numbers of neurons in the hidden layer, two training methodologies (leave-one-out and 10-fold cross-validation) and three stopping criteria, namely: the root mean square error, early stop and regularization. In the first phase, we use the full database. Subsequently, the feature extraction methods are used: in the second stage, the Principal Component Analysis (PCA) and in the third stage, the Linear Discriminant Analysis (LDA). The best result obtained in the three phases, it was with the full database, using the criterion of regularization associated with the leave-one-out method, of 83.3%. And the best result obtained in (Uzoka, Osuji and Obot, 2011) was with the fuzzy network which revealed 80% accuracy / Cerca de metade da população mundial vive em áreas de risco da malária. Além disso, dada a globalização das viagens, essas doenças que antes eram consideradas exóticas e principalmente tropicais são cada vez mais encontradas em salas de emergência de hospitais no mundo todo. E frequentemente quando se trata de experiência em doenças tropicais, a opinião de especialistas na maioria das vezes está indisponível ou não acessível em tempo hábil. A tarefa de chegar a um diagnóstico da malária preciso e eficaz, fundamental na prática médica, pode tornar-se complexa. E a complexidade desse processo aumenta à medida que os pacientes apresentam sintomas não específicos com uma grande quantidade de dados e informação imprecisa envolvida. Nesse sentido, Uzoka e colaboradores (2011a), a partir de informações clínicas de 30 pacientes nigerianos com diagnóstico confirmado de malária, utilizaram a metodologia Analytic Hierarchy Process (AHP) e metodologia Fuzzy para realizar a avaliação da gravidade da malária. Os resultados obtidos foram comparados com o diagnóstico de médicos especialistas. Esta dissertação desenvolve uma nova metodologia para avaliação da gravidade da malária e a compara com as técnicas utilizadas por Uzoka e colaboradores (2011a). Para tal o conjunto de dados utilizados é o mesmo do referido estudo. A técnica utilizada é a de Redes Neurais Artificiais (RNA). São avaliadas três arquiteturas com diferentes números de neurônios na camada escondida, duas metodologias de treinamento (leave-one-out e 10-fold cross-validation) e três critérios de parada, a saber: o erro médio quadrático, parada antecipada e regularização. Na primeira fase, é utilizado o banco de dados completo. Posteriormente, são utilizados os métodos de extração de características: na segunda fase, a Análise dos Componentes Principais (do inglês, Principal Component Analysis - PCA) e na terceira fase, a Análise Discriminante Linear (do inglês, Linear Discriminant Analysis – LDA). O melhor resultado obtido nas três fases, foi com o banco de dados completo, utilizando o critério de regularização, associado ao leave-one-out, de 83.3%. Já o melhor resultado obtido em (Uzoka, Osuji e Obot, 2011) foi com a rede fuzzy onde obteve 80% de acurácia.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-08-25T11:59:57Z No. of bitstreams: 1 Rodrigo Soares Lelis Gori_.pdf: 3233868 bytes, checksum: 85348cf4692a41fcec31474ebaaed132 (MD5) / Made available in DSpace on 2016-08-25T11:59:57Z (GMT). No. of bitstreams: 1 Rodrigo Soares Lelis Gori_.pdf: 3233868 bytes, checksum: 85348cf4692a41fcec31474ebaaed132 (MD5) Previous issue date: 2016-07-15 / Nenhuma / As Instituições Federais de Ensino buscam, constantemente, implementar avanços em um de seus principais instrumentos de planejamento e controle, o orçamento público anual. Em vista da natureza e das características especiais destas instituições, o seu processo orçamentário se reveste de especificidades e exige estudos e análise para melhor compreensão desse fenômeno. Surge, então, como um instrumento de auxílio na gestão orçamentária a avaliação de desempenho através de indicadores. A pesquisa avança para a proposição de um modelo que melhor trate o objeto deste estudo. Logo, para a realização deste trabalho, foi utilizada a DSR como método de pesquisa, apoiada pelo método AHP. Assim, o presente estudo se propôs a desenvolver um modelo de distribuição de recursos orçamentários, baseado em indicadores de desempenho para as unidades de ensino que compõem um Instituto Federal de Educação, Ciência e Tecnologia. A instituição escolhida localiza-se na região Norte. O modelo proposto foi aplicado no processo de distribuição de orçamento para oito unidades que compõem a referida instituição, adotando dois critérios, número de discentes regularmente matriculados e a avaliação de indicadores de desempenho. Três etapas integradas entre si, mas com finalidades diferentes estruturam o modelo proposto. A primeira etapa do modelo consiste na avaliação dos indicadores de desempenho, por meio do método AHP, indicadores estes selecionados por um grupo de nove especialistas. A segunda etapa consiste na obtenção de uma pontuação para cada unidade de ensino da instituição pesquisada, de acordo com a avaliação dos indicadores de desempenho. A terceira e última etapa consiste na definição de um peso para cada unidade de ensino para aplicação no orçamento de 2016 da instituição. Como principal resultado, verificou-se que o modelo proposto, quando comparado com o modelo atual, imprime uma nova postura no processo orçamentário da instituição, implementando mecanismos que permitem valorizar o esforço acadêmico de suas unidades através do uso dos indicadores de desempenho, proporcionando uma equalização entre as unidades que compõem a instituição. / Federal Education Institutions constantly seek to implement advances in one of their main planning and control tools, which is the annual public budget. Due to their nature and special features the institutions’ budget process is very specific, so it demands studies and analysis in order to better understand this phenomenon. As a result of this, and like an aid in budget management, arises the performance evaluation through indicators. The research goes forward for the proposition of a model that better addresses the subject of this study. So, to accomplish this work, it was used the DSR (Design Science Research) as the research method which was supported by AHP (Analytic Hierarchy Process). Thus, the present study had as its proposal to develop a distribution model of budget resources, based on performance indicators for the teaching units that comprise a Federal Institute of Education, Science and Technology. The chosen institution is located in the North of Brazil. The proposed model was applied on the budget allocation process in eight units that are part of the institution mentioned above. Two criteria were adopted: the number of enrolled students and the performance indicators evaluation. Three integrated steps, but with different purposes, have structured the proposed model. The first step consists in the performance indicators evaluation, through the AHP method; such indicators were selected by a group of nine experts. The second step consists in obtaining a score for each teaching unit of the researched institution, according to the assessment of performance indicators. The third and final step consists in defining a weight for each teaching unit for using in the 2016 budget of the institution. As the main result, it was found out that the proposed model, when compared to the current one, presents a new approach in the institution budget process, implementing tools that enhance the academic effort of its units by using the performance indicators, providing equalization between the units that comprise the institution.

The U.S. market for geospatial services totaled US $2.2 billion in 2010, representing 50% of the global market. Data-processing firms subcontract labor-intensive portions of data services to offshore providers in South and East Asia and Eastern Europe. In general, half of all offshore contracts fail within the first 5 years because one or more parties consider the relationship unsuccessful. Despite the high failure rates, no study has examined the offshore vendor selection process in the geospatial industry. The purpose of this study was to determine the list of key offshore vendor selection criteria and the efficacy of the analytic hierarchy process (AHP) for ranking the criteria that North American geospatial companies consider in the offshore vendor selection process. After the selection of the initial list of factors from the literature and their validation in a pilot study, a final survey instrument was developed and administered to 15 subject matter experts (SMEs) in North America. The SMEs expressed their preferences for one criterion over another by pairwise comparisons, which served as input to the AHP procedure. The results showed that the quality of deliverables was the top ranked (out of 26) factors, instead of the price, which ranked third. Similarly, SMEs considered social and environmental consciousness on the vendor side as irrelevant. More importantly, the findings indicated that the structured AHP process provides a useful and effective methodology whose application may considerably improve the quality of the overall vendor selection process. Last, improved and stabilized business relationships leading to predictable budgets might catalyze social change, supporting stable employment. Consumers could benefit from derivative improvements in product quality and pricing.

Following the enactment of the Affordable Care Act (ACA) in 2010, politicians, media, and lobbyists rendered a number of conflicting and confusing interpretations of its merits and demerits. Such interpretations intensified the skepticism and concerns of small business enterprise (SBE) owners. The purpose of this study was to develop a representative, prioritized list of SBE owners' concerns or resistance factors. The goal was to create a useful guide for SBE owners who are seeking ways to reducing the adverse financial impact of the law. With social choice theory as the theoretical framework, 50 randomly selected SBE owners across 5 distinct industry groups from Richmond, Virginia, participated in an online, cross-sectional, pairwise comparison survey. The overall results of an analytic hierarchy process indicated that the top-ranked resistance factor of SBE owners was insurance premiums, followed by quality of care and the tax burden. However, these rankings were not uniform among industry groups. With a focus on these crucial concerns, SBE owners could benefit by seeking approaches to reduce the business costs of health care. The implications for positive social change include the potential for business organizations, researchers, and policymakers to channel SBE owners' voice for a socioeconomic growth by addressing their concerns in seeking improvements from the ACA.

The following research study attempts to identify the determinant factors, affecting the customer choice among alternative suppliers of mortgage products. The other objective of the study is to evaluate the role of bank brand in the customer choice of mortgage provider. The Analytic Hierarchy Process is employed as the research methodology. Research results suggest that cost-related factors (interest rate, borrowing limit and application costs), and one service-related factor (speed of decision) are determinant for the choice among alternative mortgage providers. However, brand-related factors, such as bank reputation and recommendations, are not found to have a significant effect on the customer choice. The method of brand value calculation, developed in the study requires further research to explain the role of brand in customer decision-making.

<p><p><em>Making a decision today is quite important, especially in companies, where the consequences can bring benefits or costs. Sometimes the decisions to be made are complex and we need to evaluate many criterions that can involve several factors. In those cases, it is not easy to have a good overview of all choices and for this reason it is important to have a system that helps us in making complex decisions, when it is not possible to evaluate all the alternatives manually. This thesis describes different algorithms and tools that can aid in the process of making decisions. Based on the review of existing tools a new web based application is proposed. The new tool, Decision Maker, uses both the full Analytical Hierarchical Process approach and Chainwise Paired Comparisons method to evaluate different alternatives.</em></p></p>

Abstract ¡§Taiwan Domestic Shipbuilding Industries and Warship Commercial Maintenance¡¨ is the long-term policy of defense independent industries pushed by the Taiwan government. Domestic shipbuilding, ship maintenance, and national integrated resources can be used to support naval ships logistic maintenance. But there are some differences in technology and concept between ¡§merchant ship¡¨ and ¡§warship¡¨. The complexity, mobility, and specialization of warship systems are higher than merchant ships. Every type of operating system now utilized by commercial shipyards must be modified if they want to receive and carry on warship commercial maintenance activity. Building desirable systems to conduct warship maintenance project management effectively is the key factor if commercial shipyards wish to carry on warship commercial maintenance activity. How to evaluate a warship commercial maintenance system and provide improved solutions for commercial shipyards is the main purpose of this research. This paper start from warship maintenance project management and focuses on warship commercial maintenance peculiarities to correct domestic public projects and shipbuilding related references. We use the Habitual Domains (HD) method to search Key Success Factors (KSF) for warships commercial maintenance system applied to commercial shipyards and to adopt Analytic Hierarchy Process (AHP) to exploit a multi-estimate criteria model to enhance effectiveness and reliability for evaluating a warship commercial maintenance system. The present study uses theoretical and actual experiences to develop a warship commercial maintenance system. Several recommendations are made in order to improve overall performance of a warship commercial maintenance system. We hope that domestic commercial shipyards can do the long-term planning and investment on conducting warship commercial maintenance activity. The navy also can perform warship maintenance frugally and diversely. In this way, navy and commercial shipyards can cooperate and realize the optimal benefit from both sides. ¡iKey Words¡j Taiwan Domestic Shipbuilding Industries, Warship Commercial Maintenance, warship maintenance project management, Habitual Domains (HD), Key Success Factor (KSF), Analytic Hierarchy Process (AHP)