O auditor interno e a gestão do risco empresarial

O objetivo central deste estudo consiste em demonstrar de que forma o trabalho do auditor interno contribui no processo de gestão de riscos empresariais. Neste sentido, faz-se uma abordagem sobre o conceito de Auditoria Interna, sendo uma atividade destinada a acrescentar valor à organização na medida em que a auxilia na consecução dos seus objetivos, proporcionando-lhe informações oportunas e relevantes para a tomada de decisão. Faz também considerações ao Controlo Interno, no sentido de que as organizações vão sentir diferentes necessidades de controlo interno dependendo da sua dimensão e complexidade do negócio. O controlo interno é um processo desenvolvido pelos Orgãos de Gestão com o propósito de garantir uma segurança razoável no cumprimento dos objetivos estabelecidos. Cabe ao auditor interno auxiliar nesse sentido, ou seja, debruçar-se sobre a avaliação da adequação e eficiência do Sistema de Controlo Interno. Por fim é abordada a importância da Gestão do Risco, neste contexto as organizações têm como compromisso prioritário a implementação de mecanismos de avaliação e gestão dos riscos que possam afetar as suas operações e o cumprimento dos objetivos estratégicos definidos. A Auditoria Interna vai fornecer segurança acerca da eficácia das atividades de gestão do risco das organizações para assegurar que os principais riscos de negócio estão a ser geridos de forma apropriada bem como os sistemas de controlo interno estão a funcionar eficazmente. Ainda na gestão do risco é abordado o modelo COSO ERM, instrumento importante para as organizações na medida em que melhoram a performance e o desempenho dos controlos internos implementados e progridem para um processo de gestão do risco. Faz-se também uma breve referência sobre a Lei Sox, que veio promover uma profunda reforma na elaboração dos relatórios financeiros, no detalhe minucioso sobre os aspetos do controlo interno nas organizações e na transparência das informações divulgadas pelas organizações.

Aplicação do ABC no sector de transporte público rodoviário de mercadorias: estudo de caso em PME

Mestrado em Contabilidade e Finanças Orientado por: Doutora Cláudia Lopes

Os desafios da qualificação profissional pós-secundária não-superior (nível 4) para a inovação empresarial no contexto da União Europeia e dos países da OCDE

A maioria das nações mais desenvolvidas deve, em larga medida, a sua prosperidade à produtividade da sua força de trabalho. Esta produtividade relaciona-se, fundamentalmente, com dois aspectos essenciais. Por um lado, com o nível e adequação das qualificações e competências da população activa, as quais permitem desenvolver o empreendedorismo e criar riqueza e, por outro, com a qualidade e grau de sofisticação dos equipamentos, tecnologias, modelos de organização e sistemas de gestão de que as empresas dispõem. Nesta comunicação, elaborada por convite para apresentação na sessão comemorativa do 20º aniversário da AFTEM, no Porto, após a contextualização das exigências do mercado de trabalho em resultado da inovação empresarial e da emergência das economias baseadas no conhecimento, apresentam-se alguns estudos recentemente concluídos em diversos países e regiões da OCDE, nomeadamente, Austrália, Irlanda, Reino Unido e Escócia – nos quais se foca a necessidade de incrementar o nível de qualificações para responder às necessidades do tecido produtivo por forma a manter a competitividade da indústria e serviços desses países e regiões à escala global; em particular realça-se a importância de se aumentar a percentagem de população activa com nível 4 de qualificação profissional. Aborda-se, ainda, a situação da formação pós secundária não superior em Portugal (nível 4). Conclui-se, formulando algumas recomendações em termos de estratégias e de trabalho futuro com vista a dinamizar as oportunidades de qualificação de nível 4, em estreita articulação com as empresas, como forma de o tecido produtivo nacional dispor de níveis de qualificação de recursos humanos que permitam a mobilidade para novas actividades com maior valor acrescentado e, por esta via, atingir níveis de rentabilidade semelhante à dos restantes estados membros da UE e de outros países da OCDE.

NCRF 14 – concentrações de atividades empresariais e os impactos da sua aplicação: estudo de caso no setor empresarial

Projeto apresentado obtenção do Grau de Mestre em Auditoria Orientada pela Professora Doutora Alcina Augusta Sena Dias

Intelligent supervisory control system for home devices using a cyber physical approach

Although we have many electric devices at home, there are just few systems to evaluate, monitor and control them. Sometimes users go out and leave their electric devices turned on what can cause energy wasting and dangerous situations. Therefore most of the users may want to know the using states of their electrical appliances through their mobile devices in a pervasive way. In this paper, we propose an Intelligent Supervisory Control System to evaluate, monitor and control the use of electric devices in home, from outside. Because of the transferring data to evaluate, monitor and control user's location and state of home (ex. nobody at home) may be opened to attacks leading to dangerous situations. In our model we include a location privacy module and encryption module to provide security to user location and data. Intelligent Supervising Control System gives to the user the ability to manage electricity loads by means of a multi-agent system involving evaluation, monitoring, control and energy resource agents.

Adaptable control for electrical generation at irregural wind speeds

The main aims of this work are the development and the validation of one generic algorithm to provide the optimal control of small power wind generators. That means up to 40 kW and blades with fixed pitch angle. This algorithm allows the development of controllers to fetch the wind generators at the desired operational point in variable operating conditions. The problems posed by the variable wind intensity are solved using the proposed algorithm. This is done with no explicit measure of the wind velocity, and so no special equipment or anemometer is required to compute or measure the wind velocity.

Genetic algorithm methodology applied to intelligent house control

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers’ preferences. The proposed approach is compared with a mixed integer non-linear approach.

Intelligent behavior in a Cyber-Ambient training system for control center operators

This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.

Cyber-ambient intelligent training of operators in power systems control centres

Cyber-Physical Systems and Ambient Intelligence are two of the most important and emerging paradigms of our days. The introduction of renewable sources gave origin to a completely different dimension of the distribution generation problem. On the other hand, Electricity Markets introduced a different dimension in the complexity, the economic dimension. Our goal is to study how to proceed with the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

An intelligent tutoring system for operators’ training in power system control centres

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, taking into account context awareness and the unobtrusive integration in the working environment.

Optimal intelligent supervisory control system in cyber-physical intelligence

This paper studies Optimal Intelligent Supervisory Control System (OISCS) model for the design of control systems which can work in the presence of cyber-physical elements with privacy protection. The development of such architecture has the possibility of providing new ways of integrated control into systems where large amounts of fast computation are not easily available, either due to limitations on power, physical size or choice of computing elements.

Intelligent training in control centres based on an ambient intelligence paradigm

This article describes a new approach in the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

Intelligent SCADA for load control

A supervisory control and data acquisition (SCADA) system is an integrated platform that incorporates several components and it has been applied in the field of power systems and several engineering applications to monitor, operate and control a lot of processes. In the future electrical networks, SCADA systems are essential for an intelligent management of resources like distributed generation and demand response, implemented in the smart grid context. This paper presents a SCADA system for a typical residential house. The application is implemented on MOVICON™11 software. The main objective is to manage the residential consumption, reducing or curtailing loads to keep the power consumption in or below a specified setpoint, imposed by the costumer and the generation availability.