887 resultados para MANAGEMENT CONTROL
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Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais
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Dissertação de Mestrado, Finanças Empresariais, Faculdade de Economia, Universidade do Algarve, 2014
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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Direito, Programa de Pós-Graduação em Direito, 2016.
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This review of preventative controls for fraud, waste, and abuse in the Supplemental Nutrition Assistance Program (SNAP), administered by the Department of Social Services, was self-initiated by the State Inspector General as part of a broader statewide review of preventative fraud, waste, and abuse management controls of major benefit programs in State agencies. This review’s scope and objectives were: Assess SNAP’s preventative management controls for fraud, waste, and abuse; Identify SNAP preventative management control best practices; and Identify opportunities to improve SNAP management controls to cost/effectively mitigate risks of fraud, waste, and abuse.
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The purpose of this project is to develop a Policy and Procedures Manual as a written guidance for applicable and required procedures to identify processes which will improve the effectiveness of risk management, control, and governance process through the Department of Internal Audit of the South Carolina Office of the State Treasurer's Internal Audit functions.
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The main sources of ammonia generation are in agricultural activities, with great representation of poultry, by using feed lot systems with adoption of deep bedding on floor to retain the manure. Ammonia produced in broiler systems production generates damages to animals, humans and environment. The main source of ammonia in the manure deposited on the bed is the excreted nitrogen. With the adoption of appropriate techniques of environmental management, through of adequate ventilation and bed management, control of pH, temperature and humidity are possible significant reductions in ammonia emission, as well as with the use of additives and control the appropriate nitrogen content that is provided in the rations.
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Este estudo apresenta um diagnóstico de situação das Bibliotecas Públicas portuguesas face aos Sistemas de Gestão de Qualidade (SGQ) e a avaliação de indícios de emergência de qualidade neste tipo de bibliotecas, tipificando os diferentes tipos de emergência diagnosticados, identificando os factores que impulsionam a implementação dos SGQ, os motivos de recuo e/ou avanço para uma gestão de qualidade. É estabelecida a ligação ao percurso da qualidade na Administração Pública em Portugal, com vista a contextualizar o presente trabalho e entender o aparecimento de Sistemas de Gestão de Qualidade. Apresentam-se razões que justificam a lentidão da prevista e anunciada proliferação de Sistemas de Gestão de Qualidade nas Bibliotecas Públicas portuguesas (como se previa há uma década atrás), referenciando de forma sucinta alguns dos diferentes modelos de gestão de qualidade validados que se encontram implementados tanto no nosso país como no estrangeiro. ABSTRACT: This study presents a diagnostic explanation on the situation of the Portuguese Public Libraries, taking into consideration the system of Managenent Quality Control (SGC) and the evaluation of the emergence of quality in these types of libraries, typifying the different types of forthcoming diagnostics, identifying the factors that started the implementation of the SGC and the reasons of the withdrawal and advancement towards quality management. A synopsis of the quality of Public Administration in Portugal has also been made, with the idea of putting into context the current work and understanding up to what point this forced the arrival of the system of Management Quality Control and, in a way, try to find the reasons that justify the slowness of the arrival of the system of Management Quality Control in the Portuguese Public Libraries (as was predicted almost a decade ago). Throughout this document references and explanations will be made, in a succinct way, of some of the different forms of validated Quality Management Control that are to be found in our country, as well as abroad.
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The lack of satisfactory consensus for characterizing the system intelligence and structured analytical decision models has inhibited the developers and practitioners to understand and configure optimum intelligent building systems in a fully informed manner. So far, little research has been conducted in this aspect. This research is designed to identify the key intelligent indicators, and develop analytical models for computing the system intelligence score of smart building system in the intelligent building. The integrated building management system (IBMS) was used as an illustrative example to present a framework. The models presented in this study applied the system intelligence theory, and the conceptual analytical framework. A total of 16 key intelligent indicators were first identified from a general survey. Then, two multi-criteria decision making (MCDM) approaches, the analytic hierarchy process (AHP) and analytic network process (ANP), were employed to develop the system intelligence analytical models. Top intelligence indicators of IBMS include: self-diagnostic of operation deviations; adaptive limiting control algorithm; and, year-round time schedule performance. The developed conceptual framework was then transformed to the practical model. The effectiveness of the practical model was evaluated by means of expert validation. The main contribution of this research is to promote understanding of the intelligent indicators, and to set the foundation for a systemic framework that provide developers and building stakeholders a consolidated inclusive tool for the system intelligence evaluation of the proposed components design configurations.
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This paper proposes a method for power flow control between utility and microgrid through back-to-back converters, which facilitates desired real and reactive power flow between utility and microgrid. In the proposed control strategy, the system can run in two different modes depending on the power requirement in the microgrid. In mode-1, specified amount of real and reactive power are shared between the utility and the microgrid through the back-to-back converters. Mode-2 is invoked when the power that can be supplied by the DGs in the microgrid reaches its maximum limit. In such a case, the rest of the power demand of the microgrid has to be supplied by the utility. An arrangement between DGs in the microgrid is proposed to achieve load sharing in both grid connected and islanded modes. The back-to-back converters also provide total frequency isolation between the utility and the microgrid. It is shown that the voltage or frequency fluctuation in the utility side has no impact on voltage or power in microgrid side. Proper relay-breaker operation coordination is proposed during fault along with the blocking of the back-to-back converters for seamless resynchronization. Both impedance and motor type loads are considered to verify the system stability. The impact of dc side voltage fluctuation of the DGs and DG tripping on power sharing is also investigated. The efficacy of the proposed control ar-rangement has been validated through simulation for various operating conditions. The model of the microgrid power system is simulated in PSCAD.
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Linking real-time schedulability directly to the Quality of Control (QoC), the ultimate goal of a control system, a hierarchical feedback QoC management framework with the Fixed Priority (FP) and the Earliest-Deadline-First (EDF) policies as plug-ins is proposed in this paper for real-time control systems with multiple control tasks. It uses a task decomposition model for continuous QoC evaluation even in overload conditions, and then employs heuristic rules to adjust the period of each of the control tasks for QoC improvement. If the total requested workload exceeds the desired value, global adaptation of control periods is triggered for workload maintenance. A sufficient stability condition is derived for a class of control systems with delay and period switching of the heuristic rules. Examples are given to demonstrate the proposed approach.
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The lack of satisfactory consensus for characterizing the system intelligence and structured analytical decision models has inhibited the developers and practitioners to understand and configure optimum intelligent building systems in a fully informed manner. So far, little research has been conducted in this aspect. This research is designed to identify the key intelligent indicators, and develop analytical models for computing the system intelligence score of smart building system in the intelligent building. The integrated building management system (IBMS) was used as an illustrative example to present a framework. The models presented in this study applied the system intelligence theory, and the conceptual analytical framework. A total of 16 key intelligent indicators were first identified from a general survey. Then, two multi-criteria decision making (MCDM) approaches, the analytic hierarchy process (AHP) and analytic network process (ANP), were employed to develop the system intelligence analytical models. Top intelligence indicators of IBMS include: self-diagnostic of operation deviations; adaptive limiting control algorithm; and, year-round time schedule performance. The developed conceptual framework was then transformed to the practical model. The effectiveness of the practical model was evaluated by means of expert validation. The main contribution of this research is to promote understanding of the intelligent indicators, and to set the foundation for a systemic framework that provide developers and building stakeholders a consolidated inclusive tool for the system intelligence evaluation of the proposed components design configurations.
An intervention study to improve pain management by nurses : normative beliefs and perceived control
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Based on a predictive model of nurses' intentions regarding pain management, an intervention was developed to improve nurses' pain management. The intervention involved a series of workshops with cohorts of nurses working in acute care wards to address the important antecedents to their intentions: normative beliefs and perceived control. Pre- and post-intervention measures demonstrate the effectiveness of the intervention. The effectiveness of this intervention in improving the management of patients' pain is compared with a patient education program group and a control group. The findings provide support for further developing interventions based on the theory of planned behavior.