Background: In the present competitive environment manufacturing firms have shifted their production from mass production to mass customization. In this line, a flexible manufacturing system (or FMS) has evolved to the changing requirements. The estimation of fleet size of AGVs has shown to be a critical decision to increase the efficiency of material handling systems by increasing throughput and reduce delay in manufacturing.[4] The initial investment cost and the total life cycle cost of AGV systems rely on the number of AGVs required.   Objectives: The objective of this study is to analyze the optimal fleet sizing of AGVs in terms of the capacity needs of machines/stations and the available capacity of the AGVs working in the production site. The aim of this study is to give potential users of AGVs an optimization model to consider when planning the optimal number of AGVs needed given their capacity needs.   Methods: The methodology presents our contribution to a general model for deciding fleet size with multiple AGV’s defined as a “big system”. In comparison to previous models, we consider how the capacity of AGV’s can change depending on several factors leading to congestion and delay. The study defines these factors, finds the cause behind them and categorizes them to be used as input variables for the model. The methodology explains the important factors needed for implementing the general model for specific cases when conducting the investigation. The final part of the methodology will discuss the reliability and validity of our approach.  Results: the result presents how the general model was applied at the manufacturing company of Emballator Växjöplast AB. The data gathered and information from the capacity analysis were used to measure the demand for transportation, the AGV capacity, and the factors affecting delay and congestion. The values were then used in the model to determine the optimal fleet size for the case. The result gave a high indication for accuracy and that the general model can be used in specific cases. Finally, we conducted an analysis of how delays and congestion affected the supply of transportation as fleet size increases. The result indicated that the optimal fleet size of AGVs that satisfy 35 machines/stations was 1,32 while the theoretical fleet size of AGVs was 1.3. This yielded a result of 98.84% accuracy in estimating the optimal fleet sizing of AGVs in terms of the capacity needs of machines/stations and the available capacity of the AGVs working in the production site. Conclusions: The result shows that the approach of analyzing the capacity needs of the production site and the capacity available to the AGV can accurately be used to estimate the optimal fleet sizing of AGVs. The implication of this study and the optimization model that considers capacity needs and capacity available rather than specific layout characteristics will allow users to cope with the changing requirements of mass customization. The users will consider their demand forecast and use the optimization model to help them plan the optimal fleet sizing of AGVs. / Bakgrund: I den nuvarande konkurrensenskraftiga miljön har tillverkningsföretag skiftat produktion från massproduktion till massanpassning. Därmed har flexible manufacturing system (eller FMS) växt fram till följd av de förändrade kraven. Estimation av fleet size av AGV har visat sig vara ett kritiskt beslut för att öka effektiviteten av materialhanteringssystem genom ökad genomströmning och minskad försening i produktionen.[4] Den initiala investeringskostnaden och den totala livscykelkostnaden beror på antalet AGVer som det finns behov av i produktionen.   Syfte: Syftet med här studien är att analysera det optimala antalet AGVer som det finns behov av i relation till kapacitetsbehovet hos maskiner/stationer och den tillgängliga kapaciteten hos AGV som arbetar i produktionsanläggningen. Målet med den här studien är att förse potentiella användare av AGV med en optimeringsmodell som de kan använda vid planering av antalet AGV som de har behov av givet deras kapacitetsbehov.   Metod: I metoden presenteras vårt bidrag till en generell modell för att bestämma antalet AGV: er för ett system med flera enheter som definieras som ett ”stort system”. Till skillnad från tidigare modeller, så tar vi hänsyn till flera faktorer som orsakar kongestion och fördröjningar. Studien definierar dessa faktorer, finner orsaken till dem, och kategoriserar dem för att kunna tillämpa dem i modellen. Metoden förklarar vikten av varför dess variabler är nödvändiga att mäta när den generella modellen tillämpas för specifika fall när man utför en utredning av fallet. Slutligen avslutas metoden med att diskutera dess trovärdighet och validitet.     Resultat: Resultatet presenterar hur den generella modellen tillämpats på ett produktionsföretag Emballator Växjöplast AB.  Datainsamlingen och information från kapacitet analysen har använts för att mäta transportbehovet, AGV: ens kapacitet och de påverkande faktorer som orsakar fördröjning och kongestion. Dessa värden användes sedan i den generella modellen för att avgöra det optimala antalet AGV: er för fallet. Resultatet indikerar tydligt på att det finns en hög precision av den generella modellen kan tillämpas för specifika fall. Slutligen utför vi en analys om hur fördröjningar och kongestion påverkar transportillförsen i samband med att antalet AGV: er ökar. Resultatet visar att det optimala antalet AGVer som det finns behov av för att förse kapacitetsbehovet av 35 maskiner/stationer var 1.32 medan det teoretiska svaret från optimeringsmodellen visade ett svar på 1.30 AGVer. Detta resulterade i en noggrannhet på 98.84% för att estimera antalet AGVer som det finns behov av givet kapacitetsbehovet från maskiner/stationer och den tillgängliga kapaciteten hos AGVerna som jobbar på produktionsanläggningen.   Slutsatser:  Resultatet av tillvägagångssättet som använts i denna studie, att analysera kapacitetsbehovet i produktionsanläggningen och den tillgängliga kapaciteten hos AGVerna, visade sig vara noggrann för att estimera det optimala behovet av AGVer. Detta innebär att optimeringsmodellen som presenteras i denna studie och som tar hänsyn till kapacitetbehovet snarare än de specifika layoutegenskaperna kommer göra det möjligt för användarna att kunna uppfylla de förändrade kraven på massanpassning. Användaren kommer kunna använda sin prognos på efterfrågan och i samspel med användning av optimeringsmodellen presenterad i denna studie kunna estimera det optimala antalet AGVer som det finns behov av.

Fibromyalgia syndrome (FMS) is a chronic pain condition with significant societal and personal burdens of illness. Chronic opioid therapy in the treatment of chronic nonmalignant pain has increased drastically over the past decade. This is a worrisome trend in general, but specifically, given the pathophysiologic characteristics seen in fibromyalgia syndrome patients, the use of this class of medication deserves special scrutiny. Although the theoretical case against this therapy choice is strong, little empirical evidence exists. In order to supplement this literature, retrospective analysis methods are utilized to examine the association of state-, provider-, and patient level characteristics with the prevalence of chronic opioid use in this disease state. Data gathered through this analysis is then used to develop a propensity index for the identification of an appropriate control group for fibromyalgia patients, a task that has proven difficult in the literature to date. Using propensity stratification and matching techniques analysis of the impact of fibromyalgia, chronic opioid use, and the interaction of these two variables are undertaken. Several key findings and updates to the understanding of chronic opioid use and fibromyalgia syndrome are reported. Wide geographic variation in chronic opioid utilization between states is seen. The role of diagnosing provider type in the rate of chronic opioid prescribing is significant and can be aggregated at various levels. Demographic characteristics, comorbid conditions, and concurrent medication use are all important associates of chronic opioid use in fibromyalgia syndrome. Additionally, chronic opioid use in fibromyalgia patients, independent of propensity to receive that therapy choice is a significant correlate with healthcare costs. A diagnosis of fibromyalgia is a statistically significant source of healthcare costs, though the clinical significance of its impact when compared to a closely matched control group is minimized. Despite the minimization of the role of this diagnosis the impact of the interaction of chronic opioid use with fibromyalgia, despite control for myriad regressors, is significant both statistically and clinically.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-02-15T15:42:38Z No. of bitstreams: 1 Vagner Gerhardt Mâncio_.pdf: 2330651 bytes, checksum: 51d1129f6c7064f70ea101a75bca32d1 (MD5) / Made available in DSpace on 2016-02-15T15:42:38Z (GMT). No. of bitstreams: 1 Vagner Gerhardt Mâncio_.pdf: 2330651 bytes, checksum: 51d1129f6c7064f70ea101a75bca32d1 (MD5) Previous issue date: 2015-07-03 / Nenhuma / A competição entre as empresas é cada vez mais um fator de sobrevivência, e a busca de diferenciais é o principal objetivo para que as empresas tornem-se destaques no mercado e se mantenham competitivas. Com o objetivo de contribuir para a evolução das empresas com variedade de produtos e uma taxa média de produção, desenvolveu-se esta pesquisa sobre a viabilidade de altos investimentos em automação e a criação de um método para a escolha de equipamentos a partir de uma visão estratégica, considerando as principais dimensões de competição: custo, qualidade, flexibilidade, entrega. A pesquisa delimita-se no campo de Sistemas Flexíveis de Manufatura – do inglês Flexible Manufacturing System (FMS) –, cujas análises estratégicas e de equipamentos de automatização tenham características de sistemas flexíveis. A pesquisa foi desenvolvida na metodologia de modelagem quali-quantitativa, na qual, através da modelagem dos cenários, puderam ser realizadas avaliações qualitativas e quantitativas; o Método de Análise Hierárquica – do inglês Analytic Hierarchy Process (AHP) – foi utilizado para determinar o cenário que melhor combina com a principal variável competitiva. Para o desenvolvimento da pesquisa, foram coletadas opiniões de especialistas de empresas sobre os pesos comparativos do método AHP e sobre os equipamentos de automação que fazem parte dos cenários criados. O cenário 1 possui layout escada com a movimentação dos materiais realizado por esteiras através de pallets, cuja manipulação é realizada por sistemas pneumáticos. O cenário 2 possui layout campo aberto com a movimentação dos materiais realizado por veículos guiados automaticamente – do inglês Automated Guided Vehicle (AGV), capazes de abastecer e descarregar os equipamentos. O cenário 3 possui layout centrado no robô, com 3 robôs que se movimentam em uma esteira para abastecer e desabastecer os equipamentos. Foram propostos dois métodos de cálculo do mérito final dos cenários, e, para ambos, o melhor cenário foi o 3. Adicionalmente, concluiu-se que adotar o cenário 3 é melhor do que não fazer nada, ou seja, continuar com a instalação atual da célula estudada. / The competition between companies is increasingly a factor of survival, and the search for differential is the main objective for companies to become highlights in the market and remain competitive. In order to contribute to the development of companies with a variety of products and an average rate of production, this research was carried out on the feasibility of large investments in automation and the creation of a method for choosing equipment from a vision strategic, considering the main dimensions of competition: cost, quality, flexibility, delivery. The research is delimited in the Flexible Manufacturing Systems field (FMS) whose strategic analysis and automation equipment have flexible systems characteristics. The research was conducted in the qualitative and quantitative modeling methodology, in which, through the modeling of scenarios, could be carried out qualitative and quantitative assessments; the Analytic Hierarchy Process (AHP) was used to determine the setting that best suits the key competitive variable. For the development of research, business expert opinions were collected on the comparative weights of AHP and on the automation equipment that are part of the created scenarios. Scenario 1 has ladder layout with the movement of the materials carried by pallets through mats, in which the handling of materials is achieved by pneumatic systems. Scenario 2 has the open layout with the movement of materials held by Automated Guided Vehicle (AGV), able to supply and unloading equipment. Scenario 3 has focused on the layout robot, in which there are three robots, moving on a conveyor and load and unload the equipment. Two methods of calculating the final merit of the scenarios were proposed. By both methods, the best scenario was the 3. Additionally, the conclusion is that adopting the scenario 3 is better than doing nothing, that is, continue with the current installation of cell studied.

Ce mémoire traite de la notion de champ de potentiel et de son application à l'allocation dynamique des tâches et au routage de produits dans des systèmes de production flexibles (FMS). Dans cette approche, les produits ont une liste de services à obtenir au sein du système de production. Les ressources émettent des champs de potentiel correspondant aux différents services offerts. Les produits détectent les champs émis par les ressources et sélectionnent le champ qui répond mieux à leur besoin. Les interactions se font donc entre produits et ressources et non uniquement entre ressources comme c'est généralement le cas dans les approches de pilotage plus classiques. Après un état de l'art sur les différentes approches d'interaction entre les entités intervenant dans le pilotage des systèmes de production, nous choisissons et détaillons l'approche à base de champs de potentiel. Un modèle formalisant les champs de potentiel est proposé pour le contrôle hétérarchique résolvant simultanément les problématiques d'allocation dynamique des ressources et de routage dynamique des produits en temps réel. L'approche repose sur l'utilisation d'entités autonomes décisionnelles capables de capter des informations dans leur environnement et de réagir dans celui-ci. Un modèle de produit « actif » embarquant des capacités décisionnelles, basé sur le concept d'augmentation est proposé. Grâce à la plateforme de simulation multi-agents « NetLogo », le modèle est validé tenant compte de contraintes caractéristiques des systèmes de production (temps de transport non négligeables, capacité des files d'attente des ressources et certaines situations de panne), et en s'inspirant d'un benchmark existant. Ce dernier est utilisé pour effectuer une comparaison entre notre modèle et une étude de référence basée sur l'utilisation du protocole contrat-net pour résoudre les problèmes d'allocation des produits entre ressources. Pour valider ce modèle, une mise en oeuvre réelle est présentée sur la cellule flexible AIP-PRIMECA de Valenciennes dans une partie « implémentation ». Dans celle-ci, après une présentation des équipements utilisés, une comparaison des deux approches (champ de potentiel / contract-net) est réalisée en utilisant le même protocole expérimental.

A flexible workcell controller has been developed using a three level control hierarchy (workcell, workstation, equipment). The cell controller is automatically generated from a model input by the user. The model consists of three sets of graphs. One set of graphs describes the process plans of the parts produced by the manufacturing system, one set describes movements into, out of and within workstations, and the third set describes movements of parts/transporters between workstations. The controller uses an event driven Petri net to maintain state information and to communicate with lower level controllers. The control logic is contained in an artificial neural network. The Petri net state information is used as the input to the neural net and messages that are Petri net events are output from the neural net. A genetic algorithm was used to search over alternative operation choices to find a "good" solution. The system was fully implemented and several test cases are described.

Regelbunden fysisk aktivitet motverkar en rad fysiska och mentala sjukdomar. Hälsovinster av fysisk aktivitet är bland annat en högre funktionell muskulär- och kardiovaskulär kapacitet samt en högre livskvalitet. Stillasittande och inaktivitet kan leda till övervikt, kardiovaskulära sjukdomar, cancer, psykosociala problem och metaboliska sjukdomar. Mellan män och kvinnor finns fysiologiska skillnader som visar sig i kroppsstorlek och muskelmassa. Detta ger generellt sett kvinnor mer flexibel fysik medan män är fysiskt starkare. WHOs rekommendationer om daglig fysisk aktivitet är 150 min/vecka av moderat aerobisk träning eller 75 min mer ansträngande aerobisk träning. Styrketräning som involverar större muskelgrupper rekommenderas i åldrarna 18-64.   Till hjälp att undersöka hypotesen har två oberoende test används. En skriftlig enkät, SF-36v2 Health Survey, samt ett fysiskt test, Functional Movement Screen. I denna studie undersöks huruvida det finns ett samband mellan en ökad träningsmängd och ett högre FMS-resultat samt om en högre ålder ger lägre FMS-resultat, oavsett kön. Vi tror oss även se ett samband mellan högre FMS-poäng och ett högre uppskattat mentalt och fysiskt mående. Testpersonerna (N:30) som deltog i studien var arbetande eller studerande män (N:15) och kvinnor (N:15) i åldrarna 20-65år. FMS-resultaten visade ingen signifikant skillnad mellan kön eller stigande ålder. Däremot ser vi signifikanta skillnader mellan könen vid specifika styrke- eller rörlighetstester i FMS. Kvinnorna visar tydligt via resultaten att de generellt har en mer flexibel fysik medan männen är starkare. Som slutsats av denna studie kan vi konstatera att FMS som testmetod är könsneutralt och kan användas på blandade populationer. Detta ger testmetoden en bred användbarhet på just en blandad population. Fler studier krävs för att få fram normerande poängsättning om FMS skall användas på medelmotionären.

A flexible workcell controller has been developed using a three level control hierarchy (workcell, workstation, equipment). The cell controller is automatically generated from a model input by the user. The model consists of three sets of graphs. One set of graphs describes the process plans of the parts produced by the manufacturing system, one set describes movements into, out of and within workstations, and the third set describes movements of parts/transporters between workstations. The controller uses an event driven Petri net to maintain state information and to communicate with lower level controllers. The control logic is contained in an artificial neural network. The Petri net state information is used as the input to the neural net and messages that are Petri net events are output from the neural net. A genetic algorithm was used to search over alternative operation choices to find a "good" solution. The system was fully implemented and several test cases are described.

Submitted by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-02-27T13:30:36Z No. of bitstreams: 5 54.pdf: 760236 bytes, checksum: c96473cb1f96d0ebd32276b921d2f10d (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2015-02-27T19:26:35Z (GMT) No. of bitstreams: 5 54.pdf: 760236 bytes, checksum: c96473cb1f96d0ebd32276b921d2f10d (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) / Made available in DSpace on 2015-02-27T19:26:35Z (GMT). No. of bitstreams: 5 54.pdf: 760236 bytes, checksum: c96473cb1f96d0ebd32276b921d2f10d (MD5) license_url: 52 bytes, checksum: 3d480ae6c91e310daba2020f8787d6f9 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 23898 bytes, checksum: e363e809996cf46ada20da1accfcd9c7 (MD5) license.txt: 2109 bytes, checksum: aa477231e840f304454a16eb85a9235f (MD5) Previous issue date: 2013 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (Capes) / Funda??o de Amparo ? Pesquisa do estado de Minas Gerais (FAPEMIG) / A cultura do crambe (Crambe abyssinica Hochst) tem se destacado no cen?rio nacional pelo seu potencial para produ??o de biodiesel devido ? facilidade de cultivo, qualidade do ?leo e possibilidades de uso dos subprodutos da extra??o do ?leo. Para o estabelecimento da cultura no pa?s ? necess?rio que sejam usadas sementes de qualidade. No entanto, as informa??es sobre metodologias para avalia??o da qualidade de sementes dessa cultura s?o escassas. Dessa forma, objetivou-se adequar as metodologias dos testes de envelhecimento acelerado e condutividade el?trica para avalia??o do vigor de sementes de crambe e investigar a atividade enzim?tica em rela??o ?s diferen?as de vigor. Foram utilizados cinco lotes de sementes da cultivar FMS Brilhante das safras 2008, 2009, 2010 e 2011. Foram realizadas a caracteriza??o morfol?gica de sementes e pl?ntulas e a composi??o centesimal da semente de crambe. Para caracteriza??o do perfil dos lotes realizou-se a determina??o do grau de umidade e os testes de primeira contagem de germina??o, germina??o, ?ndice de velocidade de germina??o, emerg?ncia, estande inicial, ?ndice de velocidade de emerg?ncia e sanidade. Foi tamb?m realizada a an?lise eletrofor?tica das isoenzimas super?xido dismutase, esterase, catalase, ?lcool desidrogenase e malato desidrogenase. Para o teste de envelhecimento acelerado, as sementes foram submetidas ao m?todo tradicional e com solu??o saturada de NaCl, pelos per?odos de envelhecimento de 0; 24; 48; 72 e 96 horas. No teste de condutividade el?trica, as sementes foram submetidas aos per?odos de 2; 4; 6; 8; 10; 12; 14; 16 e 18 horas de embebi??o utilizando-se 25 sementes em 25 mL e 50 mL e 50 sementes em 50 mL e 75 mL. Concluiu-se que ? poss?vel avaliar o vigor de sementes de crambe pelo m?todo tradicional do teste de envelhecimento acelerado a 42 ?C por 96 horas. O teste de condutividade el?trica n?o foi adequado para avalia??o da qualidade fisiol?gica de crambe. Quando associado ? atividade das isoenzimas observou-se que o lote de maior vigor teve maior atividade dos grupos enzim?ticos super?xido dismutase, catalase e esterase. O lote de menor vigor n?o teve atividade das enzimas isocitrato liase e ?lcool desidrogenase. N?o houve altera??o na atividade da isoenzima malato desidrogenase. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Produ??o Vegetal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2013. / ABSTRACT Crambe (Crambe abyssinica Hochst) has been highlighted in the national scenery for its potential in producing biodiesel due to its ease of cultivation, quality of the oil and possibilities of use of the oil extraction byproducts. In order to establish the culture in the Country, the use of quality seeds is necessary. However, the information on methodologies for seed quality evaluation for this culture is scarce. Thus, we aimed at adapting the methodologies to the accelerated aging and electric conductivity tests to evaluate the vigor of crambe seeds and investigate the enzymatic activity in relation to the vigor differences. Five seed lots of cultivar FMS Brilhante of the 2008, 2009, 2010 and 2011 harvests were used. We performed the morphologic characterization of seeds and seedlings and the centesimal composition of crambe seeds. For the profile characterization of the lots, we performed the determination of the humidity degree and the tests for first germination count, germination, germination speed index, emergence, initial stand, emergence speed index and sanity. We also performed the electrophoretic analysis of the superoxide dismutase, esterase, catalase, alcohol dehydrogenase and malate dehydrogenase isoenzymes. For the accelerated aging test, the seeds were submitted to the traditional method and with NaCl saturated solution, for the aging periods of 0; 24; 48; 72 and 96 hours. In the electrical conductivity test, the seeds were submitted to the periods of 2; 4; 6; 8; 10; 12; 14; 16 and 18 hours of soaking using 25 seeds in 25 mL and 50 mL, and 50 seeds in 50 mL and 75 mL. We concluded that it is possible to evaluate crambe seed vigor by the traditional method of the accelerated aging test at 42 oC for 96 hours. The electric conductivity test was not adequate for evaluating crambe physiological quality. When associated with isoenzymes activity, we observed that the lot with highest vigor presented the highest activity of the superoxide dismutase, catalase and esterase isoenzymes groups. The lot of lowest vigor did not present activity of the isocitrate liase and alcohol dehydrogenase enzymes. There was no interaction of the activity of the malate dehydrogenase isoenzymes.

Submitted by Heverton Bacca Sanches (heverton.bacca@gmail.com) on 2018-10-04T18:51:13Z No. of bitstreams: 1 Dissertação Versão Final Heverton Bacca.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) / Approved for entry into archive by Lucilene Cordeiro da Silva Messias null (lubiblio@bauru.unesp.br) on 2018-10-04T19:08:06Z (GMT) No. of bitstreams: 1 sanches_hb_me_bauru.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) / Made available in DSpace on 2018-10-04T19:08:06Z (GMT). No. of bitstreams: 1 sanches_hb_me_bauru.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) Previous issue date: 2018-08-31 / O conceito da Indústria 4.0 está relacionado à evolução dos sistemas produtivos através da interconexão e integração total entre tecnologias de automação industrial e tecnologia da informação visando a obtenção de maior eficiência, qualidade e produtividade. Nesse contexto, uma tendência recente no ambiente industrial tem sido a utilização conjunta da Identificação por Rádio Frequência (RFID) e a da Internet das Coisas (IoT) na busca da melhoria dos seus processos de manufatura. O principal desafio é promover a integração entre essas tecnologias, de forma que os dados estejam disponíveis sob demanda e em tempo hábil para que as melhores decisões de produção sejam alcançadas. Este trabalho utilizou o RFID e a IoT para o desenvolvimento de uma solução para o monitoramento da produção e da eficiência de um sistema de manufatura flexível (FMS). O desenvolvimento do projeto consistiu em três etapas: aquisição dos dados RFID, processamento para obtenção dos parâmetros de produção e eficiência requeridos e disponibilização em nuvem para a IoT. Etiquetas RFID alocadas nas peças e nos pallets de movimentação permitiram o monitoramento da produção por meio da medição dos tempos de produção e transporte de cada peça produzida no FMS. O cálculo do indicador OEE (Overall Equipment Effectiveness), através dos índices de Performance, Qualidade e Disponibilidade, permitiu o monitoramento da eficiência das estações de trabalho e do FMS. A disponibilização dos dados da aplicação em nuvem de forma padronizada e acessível a outros sistemas foi realizada através da IoT, com a utilização do ScadaBR usando comunicação via serviço web SOAP. Experimentos foram realizados com a produção de peças diferentes (branca, vermelha e preta) e com quantidade de pallets diferentes. Análises estatísticas dos resultados de tempos de produção e de transporte permitiram quantificar erros ou anormalidades na operação do FMS. Resultados relativos ao indicador OEE permitiram o monitoramento e melhoria da eficiência do processo de manufatura. / The Industry 4.0 concept is related to the evolution of production systems through the interconnection and integration between industrial automation and information technology in order to obtain greater efficiency, quality and productivity. In this context, a recent trend in the industrial environment has been the joint use of Radio Frequency Identification (RFID) and Internet of Things (IoT) seeking for improvement in their manufacturing processes. The main challenge is to promote the integration between these technologies, so that the data is available on demand and in real time so that the best production decisions are achieved. This work used the RFID and IoT for the development of a solution for the monitoring of the production and the efficiency of a Flexible Manufacturing System (FMS). The development of the project consisted of three steps: acquisition of RFID data, processing to obtain the required production and efficiency parameters and availability of this data in the Cloud for the IoT. RFID tags allocated in the parts and conveyor pallets allowed production monitoring by measuring the production and transport times of each produced part in the FMS. The calculation of the OEE (Overall Equipment Effectiveness) indicator, through Performance, Quality and Availability indexes, enabled the monitoring of the efficiency of workstations and the FMS. The real-time availability of application data in the cloud in a standardized and accessible form to other systems was performed by IoT with the use of ScadaBR via web service SOAP communication. Experiments were carried out with the production of different parts (white, red and black) and number of pallets. Statistical analysis of the production and transport times allowed to quantify errors or anomalies in the operation of the FMS. Results for the OEE allowed monitoring and improving the efficiency of the manufacturing process.

The aim of my master thesis is to analyze the issue of insurance frauds. Theoretical part of the thesis familiarizes readers with the term insurance fraud, legislative in the Czech Republic, types of insurance frauds as well as with the ways to fight against insurance frauds. Practical part mainly covers the statistical and econometrical analysis of the size of detected insurance frauds in 2007-2014. Using econometrical analysis program Eviews is chosen the most suitable model for a time series and designed forecasts for years 2015 and 2016. The end of the thesis itself concludes economical interpretation of empirically measured and forecasted values.