Resumo: Os cenários gerenciais atuais têm demandado tomadas de decisão cada vez mais rápidas por parte dos gestores. Para que estas decisões sejam tomadas com assertividade é necessário que estes gestores tenham suporte de ferramentas robustas de controle e geração de dados e indicativos de desempenho. Em particular para gestores de produção de empresas multiprodutoras estas informações não são obtidas com facilidade em função dos diferentes processos que cercam a fabricação dos variados itens do portfólio da empresa. A UEP, Unidade de Esforço de Produção, busca, através da inclusão de uma unidade de medida, o estabelecimento de parâmetros que permitam comparar diferentes naturezas de produtos e proporcionar ao gestor uma leitura unificada do desempenho de seus processos. Este trabalho tem como objetivo apresentar uma adaptação do método como opção para a geração destes indicadores, estruturar uma proposta de implantação do método e propor um estudo de caso de implantação da UEP em uma indústria fabricante de produtos para a área da saúde e metrologia técnica seguindo esta metodologia proposta validando-o junto aos gestores responsáveis. No cenário inicial esta empresa não possui indicadores precisos de desempenho. O estudo de caso proporcionou a avaliação dos resultados de um período subsidiando os gestores para a tomada de decisões. / Abstract: Management scenarios have demanded an increasingly fast decision-making process. To support it, managers and decision-makers must rely on performance and data generation tools to help them to get the assertiveness and accuracy they need to decide. Particularly for production managers of multi products enterprises, this information is not easily obtained due to the complex environment of these firms, made of several and inter-related processes supporting the manufacture of various products. The UEP Method (Production Effort Unit) is a methodology aimed to provide a benchmark to compare production processes performance among different products in a standardized way. This work presents the UEP as an option for providing these performance indicators, also a structure for deploying the tool and a case study of the use of UEP in a multi product healthcare company is presented. Initially, the company had no accurate performance indicators. After applying UEP for a short period of time, the efficacy of the results in supporting the decision-making process was analyzed and discussed.

Indicadores-chave de desempenho (KPIs) exercem um papel de extrema importância na indústria de processos, auxiliando na tomada de decisão. No entanto, para serem representativos precisam ser calculados de forma confiável. O presente trabalho propôs uma metodologia para o cálculo destes KPIs com base em técnicas de detecção do estado estacionário, remoção de ruído, propagação de erros e análise de sensibilidade. Estes KPIs foram apresentados, de acordo com o que consta na literatura, em uma nova ferramenta gráfica de acompanhamento proposta pelos autores, denominada StatSSCandlePlot. O StatSSCandlePlot apresenta os KPIs no padrão candlestick, que é bastante utilizado no mercado de ações, incluindo informações adicionais. O grande diferencial do StatSSCandlePlot é que os indicadores e suas respectivas propriedades exibidas são calculadas a partir de técnicas que englobam o tratamento de dados e análises estatísticas. A metodologia proposta foi aplicada em um estudo de caso de um chuveiro contendo dois princípios de aquecimento, gás e energia elétrica. Para este estudo, foi criado o Índice de Qualidade do Banho (IQB), que é um indicador dependente da temperatura e da vazão de saída, cujos dados foram avaliados em três cenários distintos, o primeiro quando o sistema é submetido a distúrbios na vazão, no segundo ocorre uma queda na temperatura da água fria e no último, o IQB foi avaliado quando o sistema foi submetido a distúrbios na vazão sob uma nova estratégia de controle da planta. A partir do StatSSCandlePlot, foi possível identificar as tendências do indicador nos diferentes cenários, a parcela de cada janela no estado estacionário, os valores a serem considerados do indicador e, de forma complementar, identificar a variável que mais influenciou na variação do indicador, através da análise de sensibilidade. / Key performance indicators (KPIs) play an extremely important role in the process industry, aiding in decision-making. However, to be representative they need to be calculated reliably. The present work proposed a methodology for the calculation of these KPIs based on steady state detection, noise removal, error propagation and sensitivity analysis techniques. These KPIs were presented, as far as it is known, in a new graphical KPIs monitoring tool proposed by the authors, called StatSSCandlePlot. StatSSCandlePlot introduces KPIs in the candlestick standard, which is widely used in the stock market, including additional information. The major difference of StatSSCandlePlot is that the indicators and their respective displayed properties are calculated from techniques that encompass data processing and statistical analysis. The proposed methodology was applied in a case study of a shower containing two principles of heating, gas and electric energy. For this study the Bath Quality Index (BQI) was created, which is a temperature and output flow dependent indicator, whose data were evaluated in three different scenarios, the first one when the system was submitted to flow disturbances, in the second one, a decrease in the temperature of the cold water and in the last one, the IQB was evaluated when the system was submitted to disturbances in the flow under a new strategy of control of the plant. From the StatSSCandlePlot, it was possible to identify the trends of the indicator in the different scenarios, the portion of each window in the steady state, the values to be considered in the indicator and, in a complementary way, to identify the variable that most influenced the variation of the indicator, through the sensitivity analysis.

O avanço da tecnologia da informação e da aplicação de computadores na indústria de mineração permitiu a automatização de várias atividades da cadeia de valor mineral (CVM). As atividades da cadeia de valor mineral podem ser divididas em atividades de suporte e em atividades primárias. Os sistemas ERP (Enterprise and Resource Planning) têm fornecido por muitos anos a plataforma para a integração eficiente das atividades de suporte da mineração. No entanto, apesar dos avanços obtidos com a aplicação dos computadores em nichos técnicos específicos, não se conseguiu até o presente momento, integrar efetivamente as atividades primárias da cadeia de valor mineral. As principais razões para isto, são tanto as incertezas existentes no processo produtivo, que diferentemente de outros setores industriais são intrínsecas ao negócio da mineração, quanto as dificuldades para se medir e gerenciar convenientemente os indicadores chave de desempenho (KPIs-Key Performance Indicators), relevantes à cadeia de valor mineral. A medição e controle dos KPIs é fundamental para a quantificação dos eventuais benefícios da aplicação de tecnologia e do potencial de retorno do investimento em recursos humanos e financeiros, necessários à integração das atividades primárias da cadeia de valor mineral. Esta tese não se propõe a integrar a cadeia de valor mineral, mas a demonstrar como a integração da atividade geotécnica da CVM gera benefícios tangíveis, que permitem antever os benefícios de sua completa integração e assim a tese avança a um ponto do controle geotécnico que é o monitoramento da estabilidade de taludes em minas em operação, para demonstrar que a aplicação de metodologias de monitoramento e controle adequadas, impactam positivamente nos KPIs e consequentemente nas atividades da cadeia de valor mineral, relacionadas a eles. O objetivo desta tese é também o de comprovar a importância do monitoramento eficaz dos KPIs para a integração das atividades geotécnicas da cadeia de valor mineral exemplificando seu impacto na eficiência, qualidade e economicidade dos processos envolvidos e assim, comprovar a eficaz possibilidade de integração destas atividades da cadeia de valor mineral e a possibilidade de extrapolação da integração para o restante da mesma. Neste sentido o trabalho desenvolve-se primeiramente no intuito de determinar os principais KPIs controlados em algumas das mais importantes empresas de mineração brasileiras. Pela correta identificação das métricas e do contexto gerencial em que estes estão inseridos é possível demonstrar a importância e o impacto de seu mapeamento e medição para a gestão efetiva do negócio da mineração. Uma nova tecnologia de monitoramento de taludes que faz uso de equipamentos de radar imageadores é apresentada e explicada, assim como vários exemplos de sua utilização ao redor do mundo são descritos, ressaltando-se os resultados obtidos e sua influência na medição e gerenciamento dos KPIs envolvidos. Finalmente, uma nova metodologia escalonada e com pontos de decisão é proposta para a integração da cadeia de valor mineral e aplicada a dois projetos desenvolvidos pelo autor, que são apresentados e discutidos para demonstrar e comprovar os benefícios econômicos advindos de sua aplicação. Para esses projetos, o autor planejou e executou a coleta de dados, procedeu a suas análises, avaliou seus impactos econômicos e comprovou a relevância do estudo realizado. / The advance of information technology and computer application to the mining industry has allowed the automation of several activities of the mineral value chain (MVC). The activities of the mineral value chain can be divided in support and primarily activities. ERP (Enterprise and Resource Planning) systems have provided, for many years, the platform for the efficient integration of the support activities in mining. Despite all the advance gathered with the application of computers to specific technical niches, the effective integration of the primarily activities of the mineral value chain has not been obtained to date. The main reasons for this fact are the uncertainties existent in the production process that differently from other industrial sectors, are intrinsic to the mining business, as well as the difficulties to measure and manage the key performance indicators (KPIs) that are relevant to the mineral value chain. The measurement and control of KPIs is fundamental for quantifying the eventual benefits of the application of technology and the potential for the return of the investments in human and financial resources, needed to integrate the primarily activities of the mineral value chain. This thesis is not aimed at integrating the mineral value chain, but to demonstrate how the integration of the geotechnical activity of the MVC generates tangible benefits that allow foreseeing the benefits of its complete integration, so this thesis reaches a point of the geotechnical control that is the slope stability monitoring of operational mines, in order to demonstrate that the application of adequate methodologies of monitoring and control, impact positively on the KPIs and consequently on the activities of the mineral value chain related to them. The objective of this thesis is also to prove the importance of the effective monitoring of KPIs for the integration of the geotechnical activities of the mineral value chain and its impact in the efficiency, quality and economics of the processes involved, in order to prove the effective possibility of the integration of this activity of the mineral value chain thus demonstrating the possibility to extrapolate the integration results to the remaining chain inter-activities. In this sense, the work is developed primarily with the aim of determining the main KPIs that are controlled in some of the most important Brazilian mining companies. Through the correct identification of the metrics and management context in which they are inserted, it is possible to demonstrate the importance and impact of their mapping and measurement for the effective management of the mining business. A new technology for slope monitoring that uses imaging radar equipment is presented and explained as well as several examples of its utilization around the world are described, emphasizing the results obtained and their influence for the measurement and management of the involved KPIs. Finally, a new staggered methodology, with decision points is proposed for the integration of the mineral value chain and applied to two projects developed by the author, which are presented and discussed in order to demonstrate and to prove the economic benefits obtained from its application. For these projects, the author planned and executed the data collection, data analysis, economic assessment and proved the relevance of the work performed.

Made available in DSpace on 2016-03-15T19:32:51Z (GMT). No. of bitstreams: 1 Alex Serafim Alves.pdf: 3490821 bytes, checksum: b8b45b9f4c871e28f07978510f23bf72 (MD5) Previous issue date: 2014-05-16 / This case study aimed to determine the contribution of intangible assets characterized as intellectual capital to business performance in a differentiated network of franchise restaurants. The research was characterized as exploratory and qualitative. Several techniques for data collection were used: direct observation, survey and interviews with the full participation of 24 respondents, with those managers and employees of a differentiated network of franchise restaurants. Respondents highlighted that human assets and market assets are the main contributors to the generation of results. Based on the results obtained, it was found that the network currently uses 20 performance indicators (KPI) keys to managing their restaurants, it is possible to relate these indicators to active defined by Brooking (1996), however the managing partners have some difficulties in the analysis of various reports that these often receive, being required increasingly, consolidated, summarized and direct information to support the management of restaurants. Finally, it was presented a simplified model to gather a list the main key performance indicators in a single report for the managing partners, which is the main contribution of this work. Future studies can be further developed from this research, searching for the adaptation of the performance measurement system in other networks restaurant franchises, and the investments made in each of the asset groups defined by Brooking (1996): Human Assets, Infrastructure Assets, Market Assets and Intellectual Property Assets. / Este estudo de caso teve como objetivo verificar a contribuição dos ativos intangíveis caracterizados como Capital Intelectual para o desempenho empresarial em uma rede diferenciada de franquias de restaurantes. A pesquisa caracterizou-se como exploratória e de natureza qualitativa. Foram utilizadas diversas técnicas para coleta de dados: observação direta, levantamento e entrevistas contando com a participação total de 24 respondentes, sendo esses gestores e colaboradores de uma rede diferenciada de franquias de restaurantes. Os respondentes destacaram que os ativos humanos e os ativos de mercado são os que mais contribuem para geração dos resultados. Com base nos resultados obtidos, verificou-se que atualmente a rede utiliza 20 indicadores chaves de desempenho (KPI) para a gestão dos seus restaurantes, sendo possível relacionar esses indicadores aos ativos definidos por Brooking (1996), porém os sócios gestores possuem algumas dificuldades na análise de diversos relatórios que esses recebem frequentemente, sendo necessárias cada vez mais informações consolidadas, resumidas e diretas para apoiar a gestão dos restaurantes. Por fim, apresentou-se um modelo simplificado para reunir em um rol, os principais indicadores chaves de desempenho em um único relatório para os sócios gestores, sendo essa a principal contribuição desse trabalho. Futuros estudos podem ser aprofundados a partir dessa pesquisa, buscando a adaptação do sistema de mensuração de desempenho em outras redes de franquias de restaurantes, aos investimentos realizados em cada um dos grupos de ativos definidos por Brooking: Ativos Humanos, Ativos de Infraestrutura, Ativos de Mercado e Ativos de Propriedade intelectual.

This thesis addresses a new management approach - "Corporate Performance Management" (CPM). It sets forth the concept of this new approach as a business performance monitoring and strategic support tool, its assumptions, framework, components, relationship to business intelligence, and related methodologies. Particular focus is placed on "key performance indicators" (KPI), their characteristics, segmentation, methods for their selection, and implementation procedures. The theoretical part of this work is devoted to creating a methodology by which CPM can be effectively implemented on projects in the financial sector with an emphasis on the critical success factors of such a project as a whole. The primary elements of this methodology are the selection of the best possible metrics, the project's overall success and the development of efficient reporting. The practical part of this work initially introduces "Project KPI 2008", which ran in Komerční banka (Czech Commercial Bank), then pits it against the theoretical methodologies defined in the theoretical section. The entire project is then assessed based on the results of the comparison, and finally, conclusions and recommendations are made for the future of this project. The main asset of this thesis is its creation of the afore-mentioned management methodologies and the ideal, course to be taken in implementing a KPI-focused project. This work is valuable not only for investigating key performance indicators themselves, but also as an informative tool for managers who would like to acquaint themselves with or learn more about the CPM concepts in general.

This thesis is concerned with a discussion of advantages, disadvantages and potencial areas of usage of the Economic Value Added (EVA) as a measure of value based management. The coherency of EVA with key performance indicators as a tool of effective management is also analysed. Mentioned are also several alternative concepts. This thesis further analyses practical application of key performance indicators in mobile telecommunication company T-Mobile and evaluates the implemented concept of EVA as a central component of value based management.

This thesis aims to identify key performance indicators of private equity. At the beginning of the paper are defined both parts of private equity, criterias of each part and relationships among market participants. It is then outlined the history of the two main parts. In the next step is introduced global development with emphasis on the last 30 years. A larger space is then devoted to Europe, which will subsequently be a pivotal part of the work. Following this section is indicated methodology. In the next section is defined 7 countries, which are subsequently subjected to research. The fourth chapter is an empirical survey of individual States, Czech Republic, Great Britain, Poland, Sweden, Romania, Singapore and France, where are mentioned results of evaluated factors and also the defending of values. The last, fifth, is itself part of the evaluation and comments on results achieved.

Orientadores: Flávio Vasconcelos da Silva, Jones Erni Schmitz / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Química / Made available in DSpace on 2018-08-27T17:33:20Z (GMT). No. of bitstreams: 1 Silva_BrunoFirminoda_M.pdf: 5897961 bytes, checksum: ac5990dc3d98f600c8592ed2ea843e04 (MD5) Previous issue date: 2015 / Resumo: Os processos químicos apresentam dinâmicas complexas devido a presença de reciclos, integrações energéticas e diversas operações unitárias interconectadas, gerando problemas de interação entre as variáveis e dificultando um efetivo controle do processo. Metodologias de controle global ou plantwide buscam estabelecer sistemas de controle contemplando a planta química como um todo, porém, geram mais de uma solução de controle. Este trabalho propõe avaliar diferentes estruturas de controle global para uma mesma planta química através do uso de indicadores chave de desempenho (KPI ¿ Key Performance Indicator) para o processo, determinando assim qual sistema de controle melhor atende aos objetivos estratégicos da indústria. Como caso de estudo simulou-se uma planta típica para a produção de biodiesel através dos softwares Aspen Plus e Aspen Plus Dynamics. O processo implementado busca representar a produção do biocombustível obtido na transesterificação do óleo de soja com metanol, por meio da rota de catálise alcalina e homogênea. Para simulação dinâmica do processo, utilizaram-se dois conjuntos de controladores obtidos da metodologia de controle global heurística, configurando-se duas propostas de controle para o processo. Para avaliação das propostas de controle, utilizaram-se indicadores chave de desempenho representativos do processo global. O indicador DDS (Dynamic Disturbance Sensitivity), o qual relaciona o acúmulo molar total dos componentes ao longo do tempo, e um indicador que relaciona os custos de matérias-primas foram utilizados. Ambos indicadores, permitiram uma visualização do desempenho dos controladores de modo global e a auxiliaram na escolha do melhor conjunto de malhas de controle para o processo / Abstract: Chemical process have complex dynamics behaviors due to the presence of recycle streams, heat integration and several unit operations interconnected, leading to interaction problems among variables and making difficult to do an effective process control. Plantwide control methodologies aim to establish controls systems for entire chemical plants; however, it is possible to obtain different control solutions. This work proposes an evaluation of different Plantwide control structures for a specific process using Key Performance Indicators (KPI) and determinate which structure best meets the industry strategic goals. As a case study, it was implemented a simulation of a typical biodiesel process in Aspen Plus and Aspen Plus Dynamics. The process implemented intended to represent the production of biofuel obtained from the transesterification of soybean oil with methanol and homogeneous alkaline catalysis as chemical route. For dynamic simulation of the process, two sets of controllers obtained using global control heuristic methodology were used to control the process, setting up two proposals of control for biodiesel production. Key performance indicators of the overall process were used to evaluate the control proposals, such as the DDS indicator (Dynamic Disturbance Sensitivity), which presents the total molar accumulation over time, and an indicator that presents the raw material costs also over time. Both indicators allowed a view of the controllers global performance and aided in choose the best set of control loops for the process / Mestrado / Sistemas de Processos Quimicos e Informatica / Mestre em Engenharia Química

Title: Key Performance Indicators - Refine, adjust or remove Level: Final assignment for bachelor's degree in business administration. Author: Isabelle Nilsson and Maria Bäckström  Supervisor: Niklas Bomark Date: Autumn - 20  Aim: The aim of this study is to seek understanding of how the change process of KPIs works and whether information asymmetry and conflicts of interest can arise in the interaction between managers and group leaders in process. Method: The study is based on a qualitative research design and an interpretive hermeneutic research methodology. The empirics are collected through semi-structured interviews with managers and group leaders in a fintech company. A total of 4 managers and 5 team leaders have contributed to the content of the empirics. Secondary data have been collected from previous scientific research. The analysis is structured according to themes that have been compiled based on our research questions as well as collected data from previous research and empirics. Result & Contribution of the thesis: We have come to the conclusion that the process of changing KPIs goes through four different phases; 1. Problems are identified, 2. Measures are taken, 3. Delegation and 4. Evaluation. In connection with this, we have seen that conflicts of interest and/or information asymmetry can arise between managers and group leaders, which should be taken into account in the change process. The study has also found that conflicts of interest may in themselves cause a need to change KPIs. Suggestion for future research: - A longitudinal study could contribute to a deeper understanding of the changing process, by looking at the phenomenon for a longer time and doing repeated analyzes to detect any deviations or patterns. - The possibilities of the study could be broadened by not only measuring the end goal but also the ongoing process in sales, and for example look at factors such as customer satisfaction, returning customers or customer recommendations and references.

Rural energy access has been a persistent issue in India causing the country to become one of the most energy poor nations of the world. Despite the launch of several heavily funded programs for the provision of electricity and modern fuels to rural areas, majority of the country‘s village households remain neglected and deficient in energy. Calls have been made for the reconstruction of policies, programs and institutional frameworks that engage in dispersion of energy to the rural poor. Such policies, programs and institutional frameworks vary across different states within India. These differences need to be understood in depth to formulate suitable mechanisms for energy access. In particular, social and economic aspects of energy access need to be studied to overcome barriers in providing energy to the rural poor. This study discerns how different states are performing in terms of providing sustainable energy access to rural people. It conducts an analysis of the socio-economic sustainability of energy access to the rural household in six states of the country (Andhra Pradesh, Himachal Pradesh, Maharashtra, Punjab, Rajasthan and West Bengal) over the course of two time periods(1996-2002, 2005-2011), with the aid of key performance indicators. Results indicate that all the states have improved their energy access conditions over the past few decades. However, the rates of growth are vastly different and some states still continue to remain highly inadequate in their performances. Punjab has consistently been the most successful state while West Bengal continues to be the most energy-poor state despite a reasonable growth in energy sustainability. The possible reasoning behind these disparities could be dissimilarity in economic development between the states, size and population density of the states, isolation of villages and ineffectiveness and inequity of subsidy schemes. These needs further exploration at individual state level. Transition to less-expensive and easily installable renewable technologies, communicating benefits of modern energy to rural population and channeling subsidies towards lower income groups can improve reach of modern energy towards the rural poor of India.