O conceito de produtividade é um termo utilizado em grande escala no setor industrial, porém, no setor de serviços a produtividade ainda é vista de forma um tanto nebulosa pela sua intangibilidade e heterogeneidade inerente a sua natureza. Com a dificuldade encontrada para a mensuração mais adequada da produtividade, tendo em vista a influência do cliente no processo de serviços, surgiu a necessidade do presente estudo. Inicialmente, se realizou uma vasta procura na literatura nacional e internacional sobre o tema produtividade e qualidade no setor de serviços, sendo encontrados poucos autores que indicavam métodos de mensuração da produtividade neste setor, bem como autores que utilizassem a qualidade percebida pelo cliente como fator importante nesta mensuração. Os estudos encontrados se atêm a literatura ou tratam a qualidade e produtividade de forma separada. Essa lacuna no contexto de Centro de Serviços Compartilhados (CSC) é ainda maior, não sendo encontrados estudos com metodologias que incorporassem a qualidade e a produtividade, assunto relevante visto que estes centros são cada vez mais utilizados pelas empresas para o fornecimento de serviços de apoio Após a revisão teórica sobre o tema partiu-se para a proposição de um método de mensuração da produtividade e qualidade percebida em CSC, que considera a análise e separação do processo de serviços em atividades de front office e back office, para a melhor definição de métricas de desempenho dos serviços. O método faz uso de ferramentas como SSA (Service System Architecture) e service Blueprinting para mapeamento do processo e de instrumentos de avaliação da qualidade percebida para a avaliação da percepção do cliente ajuste das métricas de produtividade. Para teste do modelo, o mesmo foi aplicado em duas empresas do setor de serviços. Ambas as empresas escolhidas para o estudo possuíam métodos de mensuração de produtividade distintos, porém possui em comum um setor de CSC, que presta serviços financeiros para ambas as empresas. Para comparação foi realizado este estudo em uma célula de serviços comum às empresas: célula de serviços logísticos. Os resultados da aplicação foram comparados identificando diferenças e similaridades nos casos analisados. / The concept of productivity is a term used on a large scale in the industrial sector, but in the service sector productivity is still somewhat blurred by its intangibility and heterogeneity inherent in its nature. With the difficulty found for the most adequate measurement of productivity, considering the influence of the customer in the service process, the need arose for the present study. Initially, a great demand was made in the national and international literature on the topic of productivity and quality in the service sector, with few authors indicating methods of measuring productivity in this sector, as well as authors who used the quality perceived by the customer as an important factor in this measurement. The studies found stick to the literature or treat quality and productivity separately. This gap in the context of Shared Services Center (SSC) is even greater, and studies with methodologies that incorporate quality and productivity are not found, a relevant issue since these centers are increasingly used by companies to provide support services After the theoretical review on the subject, we started with the proposal of a method of measuring productivity and quality perceived in SSC, which considers the analysis and separation of the service process in front office and back office activities, in order to better define performance metrics. The method makes use of tools such as Service System Architecture (SSA) and service blueprinting for process mapping and perceived quality assessment tools for the evaluation of customer perception adjustment of productivity metrics. To test the model, the same was applied to two companies in the service sector. Both companies chosen for the study had different methods of measurement of productivity, but they have in common a SSC sector, which provides financial services for both companies. For comparison, this study was carried out in a service cell common to companies: cell of logistics services. The results of the application were compared identifying differences and similarities in the cases analyzed.

Oficialiai neapskaityta ekonomika apima visus oficialiosios statistikos neapskaitytus, bet į BVP įskaičiuojamus sandorius. Neapskaitoma ekonomika 2005 m. sudarė 18.7 proc. šalies bendrojo vidaus produkto. Šešėlinė ekonomika iškreipia oficialiąją statistiką, stabdo ekonomikos augimą, todėl būtina ją tirti, fiksuoti, ieškoti būdų ją pažaboti. Pagrindinis šio darbo tikslas - įvertinus šešėlinės ekonomikos susidarymo priežastis, šaltinius, mastą Lietuvoje, numatyti Lietuvai tinkamiausias šešėlinės ekonomikos prevencijos kryptis. Darbą sudaro 3 dalys: šešėlinės ekonomikos apžvalga, šešėlinės ekonomikos Lietuvoje įvertinimas ir šešėlinės ekonomikos prevencija. Pirmojoje darbo dalyje pateikta susisteminta įvairių Lietuvos ir užsienio autorių teorinė medžiaga apie šešėlinės ekonomikos koncepciją, tyrimo metodus, susidarymo priežastis ir šaltinius. Antroje dalyje nagrinėjamos esminės neapskaitomos ekonomikos sritys: nedeklaruojamos įmonių pajamos, užimtumas ir darbo apmokėjimas. Vertinama veiklos rūšių pridėtinės vertės apimtis. Taip pat analizuojamos ir vertinamos šios nelegalios veiklos rūšys: nelegali alkoholio gamyba ir pardavimas, narkotinių medžiagų gamyba ir pardavimas, seksualinės paslaugos, vogtų automobilių pardavimas, nelegali audio, vaizdo ir kitų įrašų bei kompiuterinių žaidimų kopijų gamyba ir platinimas. Trečioje dalyje išanalizavus ekonomikos prevencijos priemones bei įvertinus jų efektyvumą, remiantis atlikto sociologinio tyrimo „Viešosios nuomonės tyrimas dėl... [to full text] / The non-observed economy covers all transactions included in the GDP, which are not estimated by official statistics. The share of the non–observed economy in 2005 made 18.7 per cent of the country‘s GDP. The non-observed economy distorts the official statistics, damages economic growth. That’s why it is important research and to try to smash it. The main aim of this paper is to assess the derivation and reasons of non-observed economy formation, the extent of non-observed economy in Lithuania and suppose what kind of tools of prevention we need in Lithuania. The thesis consists of three parts: stocktaking of non-observed economy, estimation of non-observed economy in Lithuania, non-observed economy prevention. The first part examines the conception of non-observed economy, the main tools of estimation, the derivation and reasons of non-observed economy formation. The second chapter examines certain areas of the non-observed economy: no declared income of enterprise, employment and earnings. Value added generated by illegal activities is taken into consideration. It is also analyzed and assessed such illegal activities: illegal production and sales of alcoholic drinks, production and sales of drug substances, sales of stolen cars, sexual services, production and sales of illegal copies of audio, video and other recordings as well as computer games. The third chapter analyses the cures for non-observed economy, assess the efficiency of them, analyses results of... [to full text]

O conceito de produtividade é um termo utilizado em grande escala no setor industrial, porém, no setor de serviços a produtividade ainda é vista de forma um tanto nebulosa pela sua intangibilidade e heterogeneidade inerente a sua natureza. Com a dificuldade encontrada para a mensuração mais adequada da produtividade, tendo em vista a influência do cliente no processo de serviços, surgiu a necessidade do presente estudo. Inicialmente, se realizou uma vasta procura na literatura nacional e internacional sobre o tema produtividade e qualidade no setor de serviços, sendo encontrados poucos autores que indicavam métodos de mensuração da produtividade neste setor, bem como autores que utilizassem a qualidade percebida pelo cliente como fator importante nesta mensuração. Os estudos encontrados se atêm a literatura ou tratam a qualidade e produtividade de forma separada. Essa lacuna no contexto de Centro de Serviços Compartilhados (CSC) é ainda maior, não sendo encontrados estudos com metodologias que incorporassem a qualidade e a produtividade, assunto relevante visto que estes centros são cada vez mais utilizados pelas empresas para o fornecimento de serviços de apoio Após a revisão teórica sobre o tema partiu-se para a proposição de um método de mensuração da produtividade e qualidade percebida em CSC, que considera a análise e separação do processo de serviços em atividades de front office e back office, para a melhor definição de métricas de desempenho dos serviços. O método faz uso de ferramentas como SSA (Service System Architecture) e service Blueprinting para mapeamento do processo e de instrumentos de avaliação da qualidade percebida para a avaliação da percepção do cliente ajuste das métricas de produtividade. Para teste do modelo, o mesmo foi aplicado em duas empresas do setor de serviços. Ambas as empresas escolhidas para o estudo possuíam métodos de mensuração de produtividade distintos, porém possui em comum um setor de CSC, que presta serviços financeiros para ambas as empresas. Para comparação foi realizado este estudo em uma célula de serviços comum às empresas: célula de serviços logísticos. Os resultados da aplicação foram comparados identificando diferenças e similaridades nos casos analisados. / The concept of productivity is a term used on a large scale in the industrial sector, but in the service sector productivity is still somewhat blurred by its intangibility and heterogeneity inherent in its nature. With the difficulty found for the most adequate measurement of productivity, considering the influence of the customer in the service process, the need arose for the present study. Initially, a great demand was made in the national and international literature on the topic of productivity and quality in the service sector, with few authors indicating methods of measuring productivity in this sector, as well as authors who used the quality perceived by the customer as an important factor in this measurement. The studies found stick to the literature or treat quality and productivity separately. This gap in the context of Shared Services Center (SSC) is even greater, and studies with methodologies that incorporate quality and productivity are not found, a relevant issue since these centers are increasingly used by companies to provide support services After the theoretical review on the subject, we started with the proposal of a method of measuring productivity and quality perceived in SSC, which considers the analysis and separation of the service process in front office and back office activities, in order to better define performance metrics. The method makes use of tools such as Service System Architecture (SSA) and service blueprinting for process mapping and perceived quality assessment tools for the evaluation of customer perception adjustment of productivity metrics. To test the model, the same was applied to two companies in the service sector. Both companies chosen for the study had different methods of measurement of productivity, but they have in common a SSC sector, which provides financial services for both companies. For comparison, this study was carried out in a service cell common to companies: cell of logistics services. The results of the application were compared identifying differences and similarities in the cases analyzed.

O conceito de produtividade é um termo utilizado em grande escala no setor industrial, porém, no setor de serviços a produtividade ainda é vista de forma um tanto nebulosa pela sua intangibilidade e heterogeneidade inerente a sua natureza. Com a dificuldade encontrada para a mensuração mais adequada da produtividade, tendo em vista a influência do cliente no processo de serviços, surgiu a necessidade do presente estudo. Inicialmente, se realizou uma vasta procura na literatura nacional e internacional sobre o tema produtividade e qualidade no setor de serviços, sendo encontrados poucos autores que indicavam métodos de mensuração da produtividade neste setor, bem como autores que utilizassem a qualidade percebida pelo cliente como fator importante nesta mensuração. Os estudos encontrados se atêm a literatura ou tratam a qualidade e produtividade de forma separada. Essa lacuna no contexto de Centro de Serviços Compartilhados (CSC) é ainda maior, não sendo encontrados estudos com metodologias que incorporassem a qualidade e a produtividade, assunto relevante visto que estes centros são cada vez mais utilizados pelas empresas para o fornecimento de serviços de apoio Após a revisão teórica sobre o tema partiu-se para a proposição de um método de mensuração da produtividade e qualidade percebida em CSC, que considera a análise e separação do processo de serviços em atividades de front office e back office, para a melhor definição de métricas de desempenho dos serviços. O método faz uso de ferramentas como SSA (Service System Architecture) e service Blueprinting para mapeamento do processo e de instrumentos de avaliação da qualidade percebida para a avaliação da percepção do cliente ajuste das métricas de produtividade. Para teste do modelo, o mesmo foi aplicado em duas empresas do setor de serviços. Ambas as empresas escolhidas para o estudo possuíam métodos de mensuração de produtividade distintos, porém possui em comum um setor de CSC, que presta serviços financeiros para ambas as empresas. Para comparação foi realizado este estudo em uma célula de serviços comum às empresas: célula de serviços logísticos. Os resultados da aplicação foram comparados identificando diferenças e similaridades nos casos analisados. / The concept of productivity is a term used on a large scale in the industrial sector, but in the service sector productivity is still somewhat blurred by its intangibility and heterogeneity inherent in its nature. With the difficulty found for the most adequate measurement of productivity, considering the influence of the customer in the service process, the need arose for the present study. Initially, a great demand was made in the national and international literature on the topic of productivity and quality in the service sector, with few authors indicating methods of measuring productivity in this sector, as well as authors who used the quality perceived by the customer as an important factor in this measurement. The studies found stick to the literature or treat quality and productivity separately. This gap in the context of Shared Services Center (SSC) is even greater, and studies with methodologies that incorporate quality and productivity are not found, a relevant issue since these centers are increasingly used by companies to provide support services After the theoretical review on the subject, we started with the proposal of a method of measuring productivity and quality perceived in SSC, which considers the analysis and separation of the service process in front office and back office activities, in order to better define performance metrics. The method makes use of tools such as Service System Architecture (SSA) and service blueprinting for process mapping and perceived quality assessment tools for the evaluation of customer perception adjustment of productivity metrics. To test the model, the same was applied to two companies in the service sector. Both companies chosen for the study had different methods of measurement of productivity, but they have in common a SSC sector, which provides financial services for both companies. For comparison, this study was carried out in a service cell common to companies: cell of logistics services. The results of the application were compared identifying differences and similarities in the cases analyzed.

Orientador: Anselmo Eduardo Diniz / Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica / Made available in DSpace on 2018-08-06T20:02:45Z (GMT). No. of bitstreams: 1 Oliveira_SolonPereirade_M.pdf: 5699180 bytes, checksum: 067ac02eef0cae10532e8027dc26ebc5 (MD5) Previous issue date: 2006 / Resumo: Nesse trabalho procurou-se aplicar o método MTM AI ou método básico para otimizar e balancear os postos de trabalhos dedicados ao módulo de arrefecimento do veículo de passeio, carro que a montadora está lançando em 2005 para competir com os rivais no seu próprio mercado. Os postos de trabalhos foram filmados para registrar os métodos (o método determina o tempo) empregados atualmente e para servir de base para as análises MTM AI onde foi aplicada a otimização dos métodos. Após esse levantamento os dados são introduzidos no software Ticon 2.1, para geração de relatórios e triagem dos mo~entos que agregam / não agregam valor, juntamente com avaliação da necessidade e dificuldade dos movimentos aplicados. Após a análise foi feita uma proposta para substituir ou facilitar os movimentos que geraram os maiores TMU's (Unidade de Medida de Tempo) sugerindo novos movimentos, novas distâncias um novo método em relação ao movimento original, assim como o balanceamento dos postos de trabalho otimizando o tempo de ciclo dos operadores da célula sem aumentar o ciclo de processo / Abstract: In this work it was looked to apply method MTM AI or basic method to optimize and to balance the work station dedicated to the cooling module of Vehicle. The Car Assembly Company is launching this ear in Oct 2005 to compete with the Japanese rivals in its proper market. The work station had been tilmed to register the methods (the method determines the time) employed currently and to serve as base for MTM AI analyses where the optimization ofthe methods was applied. After this survey the data were introdueed in software Tieon 2,1, for generation of reports and selection of the movements that add/do not add value, together with evaluation ofthe necessity and difficulty of the applied movements. After the analysis was made a proposal to substitute or to facilitate the movements that had generated the highest TMUs (Unit of Measure of Time) suggesting new movements, new distances a new method in relation to the original movement, as well as the balaneing of the work station optimizing the time of cycle of the operators of the cell without increasing the process eyele / Mestrado / Planejamento e Gestão Estrategica da Manufatura / Mestre Profissional em Engenharia Mecanica

Tillverkningsindustrin förändras och ny teknik utvecklas ständigt. Med ny teknik så uppstår nya utmaningar. En vanlig utmaning som många industrier står inför är standardiseringen av processer. För att förbättra produktiviteten krävs standardisering. En del manuella aktiviteter kan inte standardiseras. Dessa aktiviteter är det främsta hindret för automatisering inom tillverkningen. Dessa aktiviteter har då definerats med begreppet “Hard to determine”. Detta begrepp har tagits fram från time data management principen “time determination”, vilket är ett steg inom metoden. Steget går då ut på att utföra tids datainsamling för att sedan bestämma hur långt tid ett monteringsmoment tar. Detta arbete har utförts på uppdrag av Youngkuk Jeong, som är en assisterande professor på Kungliga Tekniska Högskolan. Med detta i åtanke så har följande tre forskningsfrågor ställts och besvarats i detta arbete. ● Vad definierar en hard to determine aktivitet?● Vad kan användas för att samla tids data kring hard to determine aktiviteter?● Är det möjligt att utföra en automatisk tids data insamling på hard to measure aktiviteter? För att besvara frågorna har ett flertal studiebesök gjorts hos ett företag som vill lösa sina problem med “Hard to determine” (HTD) aktiviteter i sina manuella monteringslinjer. Förutom studiebesök har intervjuer genomförts med relevanta ingenjörer och medarbetare med ansvar för tidsdatahantering. Rapporten innehåller också en fallstudie med ett monteringsmoment som liknar den hos företaget. Ett experiment har även utförts för att testa om automatiskt tids data insamling av fallstudien är möjligt. Resultatet ger då en definition av HTD aktiviteter: ● När en viss uppgift varierar i tiden den tar att slutföra.● Hantering av oförutsägbara material.● Användning av flera typer av material baserat på kundorder.● Aktiviteten är svår att standardisera. Dessa indikatorer bidrar till att göra en uppgift HTD, och kan även användas som en kriterielista när man identifierar dessa aktiviteter. För närvarande mäter företaget alla sina aktiviteter med ett tidtagarur inklusive HTD-aktiviteter. Det finns dock möjlighet till att att använda olika typer av sensorer. Experimentet ämnar att jämföra resultaten från en manuellt insamlad tidsdata från ett stoppur mot en automatiskt insamlad tidsdata från en kamera med hjälp av en spårningsprogramvara. Resultatet tyder på att automatisk tidsdatainsamling med hjälp av kameror är ett användbart alternativ för företag som söker innovativa automationslösningar för HTD aktiviteter. / The manufacturing industry is changing and new technology is constantly evolving. With new technology, new challenges occur. One common challenge many industries face is the standardisation of processes. To improve productivity standardisation is required. However some manual activities cannot be standardised. They are the main barrier to automation in manufacturing. These activities have been defined with the term “Hard to determine”. This concept has been developed from the time data management principle “time determination”, which is a step within the method. The step involves performing time data collection, to then determine how long an assembly task takes. This research has been carried out on behalf of Youngkuk Jeong, who is an assistant professor at the Royal Institute of Technology. With this in mind, the following three research questions have been asked and answered: ● What defines a hard to determine activity?● What can be used to gather time data on hard to determine activities?● Is it possible to perform automatic time data gathering on a hard to determine activity? Several study visits have been made to a company that wants to solve its problems with "hard to determine" (HTD) activities in its manual assembly lines. In addition to study visits, interviews were conducted with relevant engineers and employees responsible for time data management. The report also includes an experimental case study with an assembly task similar to that of the visited company. An experiment has also been performed to test whether automatic time data gathering of the case study is possible. The result detail a definition of HTD activities: ● When a certain task varies in time it takes to complete.● Handling unpredictable materials.● Use of several types of materials based on customer orders.● The activity is difficult to standardise. These indicators help to determine if a task is HTD, and can also be used as a list of criteria when identifying these activities. Currently, the company measures all its activities with a stopwatch, including HTD activities. The experiment aims to compare the results of a manually collected time data from a stopwatch with an automatically collected time data from a camera using a tracking software. The results indicate that automatic time data collection using cameras and hand tracking software is a useful alternative for companies looking for innovative automation solutions for HTD activities.

The first part deals with the basic methods for measuring an unknown impedance. After determining the parameters of the desired impedance analyzer method was chosen AC unbalanced Wheatstone bridge. As a source of harmonic signal has been selected direct digital synthesis circuit and measure provides the analog vector voltmeter. Subsequently, it is discussed the issue of determining the sign of the unknown phase impedance. The thesis describes the wiring of circuit AD8302 and circuit AD9958 direct digital synthesis for which it is also an example of the code. It discusses the design and simulation of a reconstruction filter. Finally there are the measured output voltage and spectrum synthesizer.

This master’s thesis deals with the problem of measurement for thermomechanical parameters during metal forming under higher deformation rate. The first part works up general literary studies, comprising a summary of measurement methods for required parameters. There is described a principle of their function and usage. Further assessed the current situation and recommendation of appropriate methods for the dynamic processes of forming, especially their testing. The second part is devoted to the measurement for dynamic features of the material. This is a problem specified by Split Hopkinson preassure bar test. The test is described, including the mathematical evaluation process, in the theoretical part. In the practical part, there is a detailed description of the process and evaluation of the real test with aluminum alloy AlMg4, 5Mn ,07-EN AW 5083 performed within the framework of the junior project.

In this masters's thesis is closely studied questins of current (power) side channel. It deals with attack upon this type of side channels and methods, which can this channel analyse. Also two methods of measurements, which make possible successfully attack, are presented here. Below the work describes progress, which was used for analyse current side channel of chip PIC16F84A. This chip, which was plugged in the circuit in agreement with diagram introduced here, processes step by step variety of programs implementing always other operation, which matches concrete used instruction. In corresponding chapters are introduced resulting values and graphs, which was obtained by measurement.

My diploma thesis deals with a specific dynamic model of DC motor with the parameters obtained from the calculation and from the program using the finite element method. It shows how much accurate results can be achieved in the model, if you use only the values which can be measured, recorded and calculated on the engine. This thesis contens three parts. First part describes the structure and function of DC motor and the basic principle and the use of FEM. Next is calculation analytical and numerical parameters. The search parameters include torque, resistance and inductance of armature winding, resistance and inductance of excitation windings. The last part is dedicated to creating a dynamic model. Results from the dynamic model and measured values are compared in the conclusion of my thesis.