This study demonstrates that hybrid methods can be used for measuring the risk severity of technology-induced errors (TIE) that result from use of health information technology (HIT). The objectives of this research study include: 1. Developing an integrated conceptual risk assessment model to measure the risk severity of technology-induced errors. 2. Analyzing the criticality and risk thresholds associated with TIE’s contributing factors. 3. Developing a computer-based simulation model that could be used to undertake various simulations of TIE’s problems and validate the results. Using data from published papers describing three sample problems related to usability and technology-induced errors, hybrid methods were developed for assessing the risk severity and thresholds under various simulated conditions. A risk assessment model (RAM) and its corresponding steps were developed. A computer-based simulation of risk assessment using the model was also developed, and several runs of the simulation were carried out. The model was tested and found to be valid. Based on assumptions and published statistics obtained by publically available databases, we measured the risk severity and analyzed its criticality to classify risks of contributing factors into four different classes. The simulation results validated the efficiency and efficacy of the proposed methods with the sample problems. / Graduate / 0723 / 0680 / 0769 / tschio2011@gmail.com

The automotive manufacturing facility is extremely complex and expensive system. Managing and understanding the dynamics of automotive manufacturing is a challenging endeavour. In the current era of dynamic global competition, a new concept such as Collaborative Lean Manufacturing Management (CLMM) can be implemented as an alternative for organisations to improve their Lean Manufacturing Management (LMM) processes. All members in the CLMM value chain must work together towards common objectives in order to make the LMM achievable in the collaborative environment. The novel research approach emphasises the use of Knowledge-Based (KB) approach in such activities as planning, designing, assessing and providing recommendations of CLMM implementation, through: a) developing the conceptual CLMM model; b) designing the KBCLMM System structure based on the conceptual model; and c) implementing Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBCLMM. The development of KBCLMM Model is the most detailed part in the research process and consists of five major components in two stages. Stage 1 (Planning stage) consists of Organisation Environment, Collaborative Business and Lean Manufacturing components. Stage 2 (Design stage) consists of Organisation CLMM Capability and Organisation CLMM Alignment components. Each of these components consists of sub-components and activities that represent particular issues in the CLMM development. From the conceptual model, all components were transformed into the KBCLMM System structure, which is embedded with the GAP and AHP techniques, and thus, key areas of potential improvement in the LMM are identified for each activity along with the identification of both qualitative and quantitative aspects for CLMM implementation. In order to address the real situation of CLMM operation, the research validation was conducted for an automotive manufacturer's Lean Manufacturing Chain in Malaysia. Published case studies were also used to test several modules for their validity and reliability. This research concludes that the developed KBCLMM System is an appropriate Decision Support System tool to provide the opportunity for academics and industrialists from the fields of industrial engineering, information technology, and operation management to plan, design and implement LMM for a collaborative environment.

Includes supplemental material. / Disaster relief operations, such as the 2005 Tsunami and Hurricane Katrina, and wartime operations, such as Operation Enduring Freedom and Operation Iraqi Freedom, have identified the need for a standardized command and control system interoperable among Joint, Coalition, and Interagency entities. The Systems Engineering Analysis Cohort 9 (SEA-9) Rapid Response Command and Control (R2C2) integrated project team completed a systems engineering (SE) process to address the military’s command and control capability gap. During the process, the R2C2 team conducted mission analysis, generated requirements, developed and modeled architectures, and analyzed and compared current operational systems versus the team’s R2C2 system. The R2C2 system provided a reachback capability to the Regional Combatant Commander’s (RCC) headquarters, a local communications network for situational assessments, and Internet access for civilian counterparts participating in Humanitarian Assistance/Disaster Relief operations. Because the team designed the R2C2 system to be modular, analysis concluded that the R2C2 system was the preferred method to provide the RCC with the required flexibility and scalability to deliver a rapidly deployable command and control capability to perform the range of military operations.

The product development process for the automotive industry is normally complicated, lengthy, expensive, and risky. Hence, a study on a new concept for Low Volume Automotive Manufacturing (LVAM), used for niche car models manufacturing, is proposed to overcome this issue. The development of a hybrid Knowledge Based (KB) System, which is a blend of KB System, Gauging Absences of Pre-requisites (GAP), and Analytic Hierarchy Process (AHP) is proposed for LVAM research. The hybrid KB/GAP/AHP System identifies all potential elements of LVAM issues throughout the development of this system. The KB System used in the LVAM analyses the gap between the existing and the benchmark organisations for an effective implementation. The novelty and differences in the current research approach emphasises the use of Knowledge Based (KB) System in the planning and designing stages by suggesting recommendations of LVAM implementation, through: a) developing the conceptual LVAM model; b) designing the KBLVAM System structure based on the conceptual LVAM model; and c) embedding Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBLVAM System. The KBLVAM Model explores five major perspectives in two stages. Planning Stage (Stage 1) consists of Manufacturer Environment Perspective (Level 0), LVAM Manufacturer Business Perspective (Level 1), and LVAM Manufacturer Resource Perspective (Level 2). Design Stage (Stage 2) consists of LVAM Manufacturer Capability - Car Body Part Manufacturing Perspective (Level 3), LVAM Manufacturer Capability - Competitive Priorities Perspective (Level 4), and LVAM Manufacturer Capability - Lean Process Optimisation Perspective (Level 5). Each of these perspectives consists of modules and sub-modules that represent specific subjects in the LVAM development. Based on the conceptual LVAM model, all perspectives were transformed into the KBLVAM System structure, which is embedded with the GAP and AHP techniques, hence, key areas of potential improvement are recommended for each activity for LVAM implementation. In order to be able to address the real situation of LVAM environment, the research verification was conducted for two automotive manufacturers in Malaysia. Some published case studies were also used to check several modules for their validity and reliability. This research concludes that the developed KBLVAM System provides valuable decision making information and knowledge to assist LVAM practitioners to plan, design and implement LVAM in terms of business organisation, manufacturing aspects and practices.

Uma solução para a preservação das águas é o investimento em saneamento e no tratamento do esgoto sanitário, que é realizado por meio de estações de tratamento de esgoto. Todavia, a escolha do sistema de tratamento a ser implantado em um município deve atender aos requisitos técnicos, ambientais, sociais e econômicos do mesmo. O objetivo principal desta pesquisa foi validar e avaliar a aplicabilidade de um modelo de tomada de decisão para escolha de sistema de tratamento de esgoto sanitário de menor custo econômico desenvolvido por Oliveira (2004). Este modelo elabora o dimensionamento de oito sistemas de tratamento e, a partir desses dados, faz a estimativa do custo de implantação, manutenção e operação de cada sistema. Para esta avaliação, foram realizadas entrevistas em órgãos relacionados a saneamento no Brasil, bem como com tomadores de decisão e especialistas em saneamento, a fim de coletar os dados necessários para aplicação de testes com o modelo. No total, foram coletados dados de 61 projetos de estações de tratamento de esgoto, os quais foram utilizados nos testes realizados. Durante a avaliação do modelo, foram utilizadas técnicas como simulação, análise hierárquica de processos e equilíbrio de Nash, além de serem realizados ajustes nos custos do modelo, nas variáveis utilizadas, nos sistemas de tratamento, dentre outras, totalizando 12 novas versões até a final, denominada ETEX-FEARP. Com base nas análises realizadas neste trabalho, considera-se o modelo adequado para proporcionar uma visão global no planejamento dos investimentos, bem como para estudos de concepções de estações de tratamento, auxiliando o tomador de decisão na escolha do sistema, com base em critérios econômicos, ambientais e técnicos. / A solution for the preservation of the water is the investment in sanitation and in the treatment of sanitary sewer, which is accomplished through sewer treatment stations. However, the choice of the treatment system to be implanted in a municipal district should meet its technical, environmental, social and economical requirements. The main objective of this research was to validate and to evaluate the applicability of a decision making model to choose the system of sanitary sewer treatment with the lowest economical cost developed by Oliveira (2004). This model elaborates the sizing of eight treatment systems, and then it estimates the implantation cost, maintenance and operation of each system. For this evaluation, interviews were performed in institutions related to sanitation in Brazil, as well as with decision makers and specialists in sanitation, in order to collect the necessary data for application of tests with the model. In the total, data from 61 projects of sewer treatment stations were collected, which were used in the accomplished tests. During the evaluation of the model, techniques such as simulation, hierarchical analysis of processes and Nash equilibrium were used. In addition, changes have been made in the costs of the model, in the used variables, in the treatment systems, among others, totaling 12 new versions, and the final version, was denominated \"ETEX-FEARP\". Based on the analysis done in this research, the model is considered appropriate to provide a global vision in the planning of the investments, as well as for studies of conceptions of treatment stations, helping the decision maker choose the system, based on economical, environmental and technical criteria.

Made available in DSpace on 2015-03-05T17:04:34Z (GMT). No. of bitstreams: 0 Previous issue date: 30 / Nenhuma / No contexto de organizações humanas, o processo de avaliação de desempenho tem merecido a atenção de praticantes e pesquisadores, pois, pela avaliação de desempenho, a empresa pode identificar diferenciais que as ajudem a serem mais competitivas. Para tanto, o rápido desenvolvimento de produtos, integração de informações, tecnologias de comunicação avançadas, customização de produtos e coordenação de redes de suprimentos, vêm forçando as empresas à tomada de decisões mais rápidas. O uso de métodos qualitativos de apoio à decisão pode contribuir para reduzir riscos e gerenciar incertezas nesta tomada de decisão mais rápida. O objetivo deste trabalho foi apresentar um estudo de caso no qual foi desenvolvido e testado um método de análise das preferências dos gestores de operações logísticas empresariais internas. O resultado da aplicação do método foi comparado com o resultado de algumas decisões tomadas na empresa. A metodologia de pesquisa contou com um grupo focado, formado pelos gestores da logística in / The context of human organizations, researchers and professionals has considered a lot the process of performance evaluation, once it provides to the company to identify differentials which can help them to be more competitive. Therefore, the fast development of products, information integration, advanced communication technologies, customization of products and coordination of supply nets, is forcing the companies to take faster decisions. The use of qualitative method of support to the decision, may contribute to reduce risks and manage uncertainties in this faster decision taking. The objective of the present work was to present a case study in which was developed and tested an analysis method of the preferences of the internal entrepreneurial logistic operations managers. The result of the method’s application was compared to the result of some decisions taken in the company. The research methodology reckoned with a focus group formed by the company’s internal logistic managers, involving the supply, prod

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.

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.

本研究以某醫院為例，探討議題如下： (一)個案醫院導入平衡計分卡之需求、過程以及所遭遇之問題。 (二)將層級分析法(Analytic Hierarchy Process, AHP)與平衡計分卡指標權重設定相結合，以釐清多重指標之下，各個指標之相對權重關係，避免過多指標對指標管理造成混淆的抵銷影響。 分析結果顯示：個案醫院護理部門平衡計分卡五大構面中以學習與成長構面為最重要，顯示個案醫院護理部門對專業知識的重視。此外，平衡計分卡各構面之策略性衡量指標以顧客構面之住院病人整體滿意度策略性衡量指標權重最高，其次依序為學習與成長構面之舉辦護理使命共識營參與人數、內部流程構面之病房危機應變作業完成率、社會承諾構面之安寧照護推廣活動、財務構面之未達使用件年限之財產報銷金額占總報銷金額之比率。 / This study uses a medical center in Taiwan as a case study subject, and discusses the following issues: 1. Understanding why and how the subject hospital uses balanced scorecard at the organization and divisional levels. 2. Integrating Analytic Hierarchy Process (AHP) with balanced scorecard to clarify the relative weighting relationship among different strategic measures. The balanced scorecard performance measurement system of the subject hospital includes twenty-four strategic measures. The study adopts Analytic Hierarchy Process approach to solve the measurement problems from the nursing department of the subject hospital. The results show that the learning and growth dimension was the most important factors to achieve the strategic goal of the subject nursing department. Besides, customer satisfaction measure received a weight of 8.940% out of the twenty-four measures, which means that the nursing department members consider the customer satisfaction measure as the most important measure, so the strategic action plan for the customer satisfaction should be implemented first.