This practicum analyzes the leadership, management practices, and organizational structure of five university gardening organizations, to determine if they have had an impact on the spaces of agricultural production in the cities in which they exist. The research concludes that if university gardens/farms are to become successful demonstration projects within their cities they must: 1) have strong, collaborative, and flexible leadership structures; 2) effectively communicate with stakeholders; 3) generate consistent funding; 4) demonstrate their success on campus and within their communities; 5) create linkages with academic and community organizations; 6) create goals and objectives that overlap with university and municipal strategic plans. Furthermore, this study illustrates that university gardens/farms are important to planners as ‘living laboratories’ of urban food production; as well as educational tools that build the capacity of residents to grow local food, and understand the importance of agricultural urbanism (AU) for city planning and design.

This practicum analyzes the leadership, management practices, and organizational structure of five university gardening organizations, to determine if they have had an impact on the spaces of agricultural production in the cities in which they exist. The research concludes that if university gardens/farms are to become successful demonstration projects within their cities they must: 1) have strong, collaborative, and flexible leadership structures; 2) effectively communicate with stakeholders; 3) generate consistent funding; 4) demonstrate their success on campus and within their communities; 5) create linkages with academic and community organizations; 6) create goals and objectives that overlap with university and municipal strategic plans. Furthermore, this study illustrates that university gardens/farms are important to planners as ‘living laboratories’ of urban food production; as well as educational tools that build the capacity of residents to grow local food, and understand the importance of agricultural urbanism (AU) for city planning and design.

Majority of electricity networks have growing number of ageing elements. Critical network components, such as ageing underground cables, are very expensive to install and disruptive to replace. On the other hand, global climate changes have made connection of new low carbon technologies (LCT) into the grids increasingly necessary. These factors are contributing to the increasing complexity of the planning and management of power systems. Numerous techniques published on this subject tend to ignore the impact of LCT integration and the anchoring ꞌSmartꞌ solutions on ageing network assets, such as underground cables and transformers. This thesis presents the development procedures of an ageing underground cable reliability model (IEC-Arrhenius-Weibull model) and cable ranking models for replacement based on system wide effects and thermal loss-of-life metrics. In addition, a new concept of LCT integration and distribution network management was proposed using two optimization models. The first optimizes connection of new wind sources by minimizing the connection cost and the cost of cable thermal loss-of-lives in the planning period. In the second stage, the network is optimally reconfigured in such a way to minimize thermal-loss-of-life of ageing cable. Both optimization models are formulated as mixed integer non-linear programming (MINLP) problems applicable to radially operated medium voltage networks. To quantify the reliability benefits of the proposed approach, Sequential Monte Carlo Simulation (SMCS) procedure was formulated. Some of the main features of the SMCS procedure are the IEC-Arrhenius-Weibull model for ageing cable, optimal network reconfiguration, wind generation modelling using ARMA models and real time thermal ratings. The final outputs are reliability metrics, cable ranking lists for replacement, savings due to 'non-spend' cable thermal lives, etc. These studies have proven to be important in formulating an effective strategy for extending the lives of network cables, managing overall network reliability and planning cables replacement in power distribution networks.

The diploma thesis focuses on the manufacturing order management in company. It contains examples of production systems and their analysis for optimization. During the optimization are monitored major criteria, for example: increase of production rate, resource utilization, and so on. The result of this work is a proposed solutionarising from the outputs of optimization the manufacturing system.

A participação da energia eólica na geração de energia elétrica tem apresentado incremento importante nos últimos anos e a tendência é de representar 11,6% da capacidade instalada brasileira em 2024, segundo a Empresa de Pesquisa Energética (EPE). Hoje, nos modelos de otimização para o despacho das usinas no atendimento da carga de energia do sistema, a energia eólica, assim como as pequenas centrais hidrelétricas e a energia a biomassa, são abatidas da carga de forma determinística, não representando a incerteza na produção dessas usinas. Dada a variabilidade na geração de energia eólica, devido às variações nas velocidades dos ventos e considerando o aumento da participação eólica na matriz de eletricidade brasileira, fato que realça a relevância da fonte, este trabalho desenvolve uma representação estocástica da geração eólica a partir de dados históricos reconstruídos de velocidades de vento de 16 coordenadas do Brasil, em especial das regiões Nordeste e Sul. Os valores de velocidade de vento são transformados em energia eólica através de curvas de potência de turbinas e as usinas eólicas são representadas como se fossem usinas hidráulicas a fio d água no modelo de otimização Newave. A representação do histórico de geração eólica é feita através de vazões nos rios, considerando-se também a expansão no horizonte até 2020. O trabalho tem como base os dados do Newave oficial de agosto de 2016. Com a simulação do modelo considerando-se as séries históricas e sintéticas, o trabalho simula o despacho das usinas, o comportamento dos custos marginais, verificando-se as diferenças no comportamento dessas variáveis quando se utiliza uma representação estocástica para a energia eólica, em comparação com a modelagem determinística utilizada hoje. / Wind power has an increasing share of the Brazilian energy market and has the potential to represent 11.6% of the total capacity by 2024, according to Energy Research Company (EPE). The current optimization models, that dispatch power plants to meet demand, only optimize the demand using hydroelectric and thermal power plants. The remaining sources of generation including wind power, small hydroelectric plants and biomass plants, are not part of the optimization model and are included deterministically. There is variability in wind power generation because of wind speeds variations and considering the increase of the wind power share in the Brazilian electricity matrix, which stresses its importance, this work evaluates a stochastic representation for wind power generation through historical wind speed data of 16 coordinates from the Northeast and South of Brazil. It proposes to introduce wind power plants into the optimization model called Newave by proxy of run-of-river hydropower plants and their inflow. This study also considers wind power expansion in Brazil up to 2020 and the database is the official Newave as of August 2016. This work aims to verify the dispatches of the power plants and the marginal costs, considering the differences between the model used today and the stochastic model presented in the study.

A participação da energia eólica na geração de energia elétrica tem apresentado incremento importante nos últimos anos e a tendência é de representar 11,6% da capacidade instalada brasileira em 2024, segundo a Empresa de Pesquisa Energética (EPE). Hoje, nos modelos de otimização para o despacho das usinas no atendimento da carga de energia do sistema, a energia eólica, assim como as pequenas centrais hidrelétricas e a energia a biomassa, são abatidas da carga de forma determinística, não representando a incerteza na produção dessas usinas. Dada a variabilidade na geração de energia eólica, devido às variações nas velocidades dos ventos e considerando o aumento da participação eólica na matriz de eletricidade brasileira, fato que realça a relevância da fonte, este trabalho desenvolve uma representação estocástica da geração eólica a partir de dados históricos reconstruídos de velocidades de vento de 16 coordenadas do Brasil, em especial das regiões Nordeste e Sul. Os valores de velocidade de vento são transformados em energia eólica através de curvas de potência de turbinas e as usinas eólicas são representadas como se fossem usinas hidráulicas a fio d água no modelo de otimização Newave. A representação do histórico de geração eólica é feita através de vazões nos rios, considerando-se também a expansão no horizonte até 2020. O trabalho tem como base os dados do Newave oficial de agosto de 2016. Com a simulação do modelo considerando-se as séries históricas e sintéticas, o trabalho simula o despacho das usinas, o comportamento dos custos marginais, verificando-se as diferenças no comportamento dessas variáveis quando se utiliza uma representação estocástica para a energia eólica, em comparação com a modelagem determinística utilizada hoje. / Wind power has an increasing share of the Brazilian energy market and has the potential to represent 11.6% of the total capacity by 2024, according to Energy Research Company (EPE). The current optimization models, that dispatch power plants to meet demand, only optimize the demand using hydroelectric and thermal power plants. The remaining sources of generation including wind power, small hydroelectric plants and biomass plants, are not part of the optimization model and are included deterministically. There is variability in wind power generation because of wind speeds variations and considering the increase of the wind power share in the Brazilian electricity matrix, which stresses its importance, this work evaluates a stochastic representation for wind power generation through historical wind speed data of 16 coordinates from the Northeast and South of Brazil. It proposes to introduce wind power plants into the optimization model called Newave by proxy of run-of-river hydropower plants and their inflow. This study also considers wind power expansion in Brazil up to 2020 and the database is the official Newave as of August 2016. This work aims to verify the dispatches of the power plants and the marginal costs, considering the differences between the model used today and the stochastic model presented in the study.

由於資訊科技具有策略上的價值，結合資訊系統與組織策略的策略資訊系統也日漸受到組織高層重視。策略資訊系統應用的目的，不只是提供市場更多元的產品與迅速的服務，甚至可以重新定義產業競爭的方式使得組織從中獲利。而良好的策略資訊系統規劃，才可以真正讓組織從資訊科技的應用中獲得競爭優勢。 本研究主要探討如何在策略資訊系統規劃過程中整合CEO與CIO的觀點。本研究由文獻中整理策略資訊系統規劃所應該具備的要素並評量12個SISP方法對於要素的支援情形。然後探討SISP過程中相關的決策議題，包括權力、政治行為、衝突與協商，以及漸近式的決策形成過程。以文獻為基礎所建構的觀點整合資訊規劃方法中，將可以發現CEO與CIO兩人的觀點其實是具有相當多的分歧存在。本研究並利用動態網頁的技術，以IC製造業公司的資料為例，建構一套可行的雛型系統以輔助SISP方法之應用。 / Information technology is valuable in strategic way. So, the top management of organizations has paid more attentions to Strategic Information Systems (SIS) that link information strategy with organizational strategy. The purpose of the use of SIS is not only to offer new services, but also to redefine the way of competition. A good Strategic Information Systems Plarniing (SISP) can help the organizations take competitive advantages by the information technology. The purpose of this research is to study the issues of the different views of Chief Executive Officer (CEO) and Chief Information Officer (CIO) in the process of SISP. After reviewing the literature, we have established the key characteristics of SISP and evaluated 12 SISP methods accordingly. Then, we study the human issues of the SISP process including power, political behavior, conflict and negotiation, and incrernantalism. On the base of these studies, a View Integrated SISP method has been proposed. This method emphasis on the different views of CEO and CIO. A prototype system (VICAS) in WWW has been implemented. Some testing data from an integrated circuit manufactory company has been tried.

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[pt] Impulsionadas pelo crescimento do mercado corporativo e pela prestação de serviços para grandes clientes, as operadoras de serviços de telecomunicação estão buscando processos automatizados e redução de custo no desenvolvimento de novos projetos de redes de telecomunicações. Nesse cenário, dois modelos de Programação Inteira são apresentados buscando uma minimização de custos. O primeiro para o problema de planejamento de novas redes. E segundo para o problema de configuração de trails nas redes SDH. Uma introdução sobre meios de transmissão, redes de telecomunicações, topologias mais utilizadas e sistemas de proteção são apresentados. Por fim, em ambos problemas, são apresentados estudos comparativos com situações reais, com o intuito de validar os modelos. / [en] Stimulated by the growth of the corporate market and by the services dedicated to big customers, providers are searching for, even more nowadays, automated process and cost reduction on the development of new telecommunications networks projects. In that setting, two models of Integer Programming will be presented, seeking a minimization of costs. At first, for the problem of planning of new networks, and second for the problem of configuration of trails in the SDH networks. Beyond that, an introduction about transmission lines, networks of communication, topology more utilized and systems of protection will be presented. In both problems, comparing real situations, with the purpose of validate the models.