Made available in DSpace on 2016-06-02T19:51:35Z (GMT). No. of bitstreams: 1 1770.pdf: 2888839 bytes, checksum: 18c57ba21e9192d597b74f8d1d0fc997 (MD5) Previous issue date: 2008-02-29 / Universidade Federal de Minas Gerais / This is a study of approximations based on parametric decomposition methods used in open queueing networks for modeling discrete job-shop manufacturing systems. These approximations play an important role in evaluating the performance of productive systems and have proved effective in many situations. Besides, these approximations are relatively easy to apply requiring fewer data compared to other methods because they use the average rate and SCV (square coefficient of variation) as the only parameters to characterize the network arrival and service processes. This work is aimed at analyzing and comparing several approximations since they are not yet available in the literature. Hence, several network situations were tested in order to identify the most adequate approximation for each situation. Firstly, a two-station network was analyzed followed by the analysis of a five-station network and lastly, a real example of a semiconductor plant, analyzed by Bitran e Tirupati (1988), was used. In order to reach these goals, the state of the art of approximation methods to evaluate the performance of open queueing networks was studied, and the approximations were compared using the experiment planning technique, important factors for building network configuration and data analysis The findings of this work demonstrate that approximations can be highly efficient to evaluate the performance of discrete job-shop manufacturing systems. Regardless of the configurations studied, it is worth mentioning that approximations 3 and 2, in general, showed the best results if compared to the other values obtained from simulations to evaluate the performance of open queueing networks, OQN,. The other approximations tended to overestimate E(Lj) when the number of stations is higher. This study intends to contribute to the development of computing systems in order to support project decisions and the planning and control of discrete manufacturing systems using approximations based on the parametric decomposition method / Esta dissertação estuda as aproximações baseadas nos métodos analíticos paramétricos de decomposição usados em redes de filas abertas que modelam sistemas discretos de manufatura do tipo job-shop. Estas aproximações possuem um importante papel na avaliação do desempenho de sistemas produtivos e vem se mostrando eficiente para uma grande diversidade de situações. Além disso, são aproximações relativamente fáceis de serem aplicadas, necessitando poucos dados em relação a outros métodos, pois utilizam apenas a média e o scv (coeficiente quadrático de variação) como parâmetros para caracterizar os processos de chegadas e os processos de serviço da rede. O foco deste trabalho está em realizar análises e comparações entre diversas aproximações, pois ainda não existe nenhuma comparação mais efetiva entre elas na literatura. Para isso, diversas situações de redes foram exploradas para identificar quais aproximações são mais adequadas para quais situações. Primeiramente é analisado uma rede com 2 estações, posteriormente uma outra com 5 estações e por fim usou um exemplo real de uma fábrica de semi-condutores, analisada por Bitran e Tirupati (1988). Para que seja possível atingir esses objetivos, estudou-se o estado da arte das aproximações dos métodos de avaliação de desempenho para redes de filas abertas, e comparouse as aproximações por meio de técnicas de planejamento de experimentos, parte importante na construção das configurações das redes e análise dos resultados. Os resultados apresentados nesta dissertação mostram que essas aproximações podem ser bem eficientes ao avaliar o desempenho de sistemas discretos de manufatura do tipo job-shop. Independente das configurações analisadas, vale destacar a Aproximação 3 e a Aproximação 2, em geral, obtendo os melhores resultados, entre as aproximações, em comparação aos valores obtidos pela simulação para avaliar o desempenho de redes de filas OQN. As outras aproximações demonstraram certo comportamento em sobreestimar E(Lj), quando o número de estações aumentam. Este estudo pretende contribuir para o desenvolvimento de sistemas computacionais 13 para apoiar decisões de projeto, planejamento e controle dos sistemas discretos de manufatura, usando aproximações baseadas em métodos de decomposição paramétrico

Between 2013 and 2016, 8.1% of U.S. adults 20 years and older suffered from depression, but only 29% of them sought help. This project addressed the low depression screening rate in a Federally Qualified Health Center (FQHC) that supported integrated care. The purpose of the project was to evaluate the integration of behavioral health into primary care in an FQHC through the rate of depression screenings. Two theoretical frameworks, the find-organize-clarify-understand-select/plan-do-study-act model and the Centers for Disease Control and Prevention's framework for program evaluation in public health were combined into a list of questions and data validity tests that were used to conduct the evaluation. This quality improvement (QI) project evaluated an existing QI initiative. Findings revealed that 75% of the patients seen, and not the initially reported 53%, received depression screenings, which indicated an improved outcome. Other findings were inadequate use of theoretical frameworks, poor data quality, and suboptimal effectiveness of QI team processes. The strategies and tools recommended in this project could be used by organizational leaders and QI teams to evaluate and improve QI initiatives. The project's contribution to awareness about depression through integrated care could increase patients' access to care, quality of life, and life expectancy, and positively impact social change.

Bakgrund och problem: Enterprise resource planning system (Svenska:Affärssystem) har historiskt huvudsakligen använts inom stora företag. Men har påsenare tid blivit allt vanligare hos små- och medelstora företag till följd avdigitalisering och marknadsändringar. Det har gjorts studier för hur ett välimplementerat och integrerat affärssystem ökar effektiviteten inom företag. Vidarekonkluderar forskare att utvärdering av affärssystemet är viktigt för att bibehålla etteffektivt system över tid och föreslår utvärderingsmodeller för ändamålet. Däremotfinns det teoretiska kunskapsluckor gällande hur små- och medelstora företag inomtillverkningsindustrin kan och bör genomföra utvärderingar och vilkabeslutsfaktorer som ligger till grund för ett sådant beslut. Syfte: Studiens syfte är att undersöka om och hur små- och medelstora företagutvärderar sina affärssystem. Metodval: Studien har en kvalitativ forskningsmetod med abduktivforskningsansats. Det empiriska materialet utgörs av 10 semistrukturerade intervjuermed olika chefer och ansvariga för små- och medelstora tillverkningsföretag. De 10respondenterna valdes genom ett målstyrt urval. Slutsats: Formella utvärderingar med hjälp av modeller utförs inte. Utvärderingmed hjälp av är modeller är en komplex process som anses vara för tidskrävandeoch kostsam för små- och medelstora företag att genomföra. Däremot förekommerinformella utvärderingar av affärssystem till viss utsträckning. / Background and problem: Enterprise resource planning systems have historicallymainly been used within large companies. But has recently become increasinglycommon in small- and medium-sized companies as a result of digitization andmarket changes. There have been studies on how a well-implemented and integratedbusiness system increases efficiency within companies. Furthermore, researchersconclude that evaluation of the business system is important to maintain an effectivesystem over time and propose evaluation models for the purpose. On the other hand,there are theoretical knowledge gaps regarding how small- and medium-sizedcompanies in the manufacturing industry can and should carry out evaluations andwhich decision factors are the basis for such a decision. Purpose: The purpose of the study is to investigate whether and how small- andmedium-sized companies evaluate their enterprise resource planning system. Method: The study has a qualitative research method with an abductive researchapproach. The empirical material consists of 10 semi-structured interviews withvarious managers of small- and medium-sized manufacturing companies. The 10 respondents were selected through purposive sampling. Conclusion: Formal evaluations using models are not carried out, as evaluationusing models is a complex process that is considered too time-consuming and costlyfor SMEs to undertake. On the other hand, informal evaluations of enterpriseresource planning systems occur to a certain extent.