Adapting Meeting Tools to Agent Decision

Electricity markets are complex environments comprising several negotiation mechanisms. MASCEM (Multi- Agent System for Competitive Electricity Markets) is a simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. ALBidS (Adaptive Learning Strategic Bidding System) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM it considers several different methodologies based on very distinct approaches. The Six Thinking Hats is a powerful technique used to look at decisions from different perspectives. This paper aims to complement ALBidS strategies usage by MASCEM players, providing, through the Six Thinking Hats group decision technique, a means to combine them and take advantages from their different perspectives. The combination of the different proposals resulting from ALBidS’ strategies is performed through the application of a Genetic Algorithm, resulting in an evolutionary learning approach.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.

Electricity Markets Portfolio Optimization using a Particle Swarm Approach

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player’s portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and offpeak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator – OMIE.

Desenvolvimento e Estratégia na Orçamentação: Estudo de Caso

O relatório inserido na Unidade Curricular de DIPRE do Mestrado em Engenharia Civil do ISEP e desenvolvido no âmbito do estágio curricular realizado na COGEDIR, Gestão de Projetos SA, tem como objetivo caraterizar o mercado nacional da construção civil, os procedimentos da orçamentação, analisando os seus processos no âmbito dos concursos públicos em Portugal. Deste modo, o relatório inicia-se com o fundamento da importância da orçamentação na construção civil e a caraterização do mercado da construção no momento atual de crise e as dificuldades dos empreiteiros em obter empreitadas. Em seguida foi realizado um levantamento ao estudo da arte sobre os temas de custos e orçamentos, e ainda uma abordagem as ferramentas de orçamentação. Depois de analisada toda a metodologia de orçamentação, são caraterizados os processos das empresas do grupo para o ato de orçamentação. Nessa linha foi ainda realizado um estudo de vários procedimentos de concurso já finalizados para servir como base de sustentação para uma mudança estratégica a implementar nas empresas. Neste estudo ficou bem patente a tendência dos valores das propostas apresentadas pelos vários concorrentes, nos diferentes procedimentos. Com base nestes elementos é feita uma avaliação simplificada dos valores que os empreiteiros possivelmente apresentam para os diferentes tipos de concursos. Dessa análise foi possível definir a estratégia a implementar pelas empresas. Definida a estratégia a seguir pelas empresas, são alvo de estudo de caso dois procedimentos de realidades distintas. Um relativo ao processo de concurso de uma empreitada de construção e o outro a um concurso de prestação de serviços. Neste capítulo, são abordadas situações reais de processos de concurso, desde a consulta do procedimento, estudo das condicionantes, composição de custos, elaboração da documentação e entrega das propostas.

Strategic Drivers for Implementing Sustainability Programs in Portuguese Organizations– Let’s Listen to Aristotle: From Triple to Quadruple Bottom Line

This article describes a study that investigated the main strategic drivers that influence the implementation of sustainability/social responsibility programs. An online survey was administered to managers of Portuguese organizations with certified management systems. The findings suggest that the implementation of such programs is mainly correlated to: 1.) the approach to understanding and working toward the satisfaction of the community’s needs (in the broad sense of social responsibility); 2.) how systematically sustainability within the organization is identified and managed (e.g., pollution prevention, improved environmental performance, and compliance with the applicable environmental laws); and 3.) the degree to which the organization tries to understand the needs of the employees and works toward satisfying them. In addition to the survey, five interviews with top managers of the surveyed organizations provided some useful insights. There was no consensus on the meaning of sustainability and social responsibility: some described it as an instrumental approach for obtaining better organizational results, while others regarded it as the right thing to do (i.e., it is values driven). In all cases, however, the managers supported a kind of umbrella construct under which different size corporations use different models (for example, the Dow Jones Sustainability Index (DJSI), Global Reporting Initiative (GRI), ISO 14001 environmental management systems), although some managers reported that they simply do not know what to do. All of those surveyed agreed that the lack of a systematic approach could represent a major threat to their organization, making them willing to pay more attention and take more action on the issue of sustainability. An additional suggestion made by managers was to change from a triple bottom line (economic dimension, environmental dimension, social equity dimension) to a quadruple bottom line by adding another dimension: personal and family happiness. This fourth dimension was recognized by the Greek philosopher/thinker Aristotle (384-322 BCE) who thought of happiness as the highest good (virtue) and ultimate goal and purpose of life, achieved through living well, in harmony. Such harmony suggests a balance and a lack of excess—in other words a sustainable existence.

A gestão de riscos de negócio e o seu reporte

Dissertação de Mestrado Apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação do Mestre Carlos Mendes.

Strategic trade policy and signaling costs with differentiated goods

We consider a trade policy model, where the costs of the home firm are private information but can be signaled through the output levels of the firm to a foreign competitor and a home policymaker. We compute the separating equilibrium and the Bayesian Nash equilibrium, and we compare the subsidies, firms’ expected profits and home government’s welfare in both equilibria, for different values of the own price effect parameter.

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets

The energy sector has suffered a significant restructuring that has increased the complexity in electricity market players' interactions. The complexity that these changes brought requires the creation of decision support tools to facilitate the study and understanding of these markets. The Multiagent Simulator of Competitive Electricity Markets (MASCEM) arose in this context, providing a simulation framework for deregulated electricity markets. The Adaptive Learning strategic Bidding System (ALBidS) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM, ALBidS considers several different strategic methodologies based on highly distinct approaches. Six Thinking Hats (STH) is a powerful technique used to look at decisions from different perspectives, forcing the thinker to move outside its usual way of thinking. This paper aims to complement the ALBidS strategies by combining them and taking advantage of their different perspectives through the use of the STH group decision technique. The combination of ALBidS' strategies is performed through the application of a genetic algorithm, resulting in an evolutionary learning approach.

Metodologia de desenvolvimento de competências para os técnicos do setor elétrico

A solFORM é uma empresa de Consultoria e Formação Profissional nas áreas da Energia e Eletricidade, Higiene e Segurança no Trabalho e Comportamental. O seu foco de atuação é a oferta de formação profissional especializada a empresas que trabalham na rede de distribuição de energia elétrica. O diagnóstico realizado permitiu identificar como potencialidade de intervenção os serviços de recursos humanos prestados pela empresa, mais especificamente conceber uma metodologia de avaliação de competências e de identificação de necessidades de desenvolvimento para os técnicos do setor elétrico. A aplicação deste projeto permite adequar as competências dos colaboradores dos clientes da solFORM, empresas do setor elétrico, aos perfis profissionais exigidos pela agência reguladora da formação do setor, a AQTSE - Associação para a Qualificação Técnica do Setor Energético. Assim, o objetivo final será que a solFORM possa propor planos de desenvolvimento adequados às necessidades específicas dos colaboradores das suas empresas clientes. Depois de definido o planeamento estratégico e operacional da nova metodologia foi implementada num grupo piloto. Ao longo da implementação e no final foram avaliados os indicadores que demonstram o cumprimento dos objetivos estabelecidos, assim como a finalidade do projeto.

HRM specificities’ on Portugal hotel units

This paper presents the main Human Resources Management (HRM) specificities’ on Portuguese hotel units. We try to understand the role of HRM on behavior of co-workers and quality service in hotel units and to know the future tendency of human capital profile on Portuguese hotel units and the role of HRM function on management of their staff. We, also, try to explore if Portuguese culture has influence on HRM specificities’ of hotel units. This phenomenon has a special relevance in the Portuguese context, because this country is known a growing process of tourism industry in recent years. Furthermore, little is known about HRM department’ contributions to their human capital management and development. This paper is one of the first to focus specifically on Portuguese hotel units and it also seeks to present findings that stem from the Human Resources Managers’ perspective. The paper is based on qualitative case studies. The data were collected through semi-structured interviews of 12 human resource managers from 12 hotel units located in Portugal. The results show that although there is not an effective HRM, current HRM practices are enough to encouraging pro-environmental behavior in their staff and they have a direct effect on customer satisfaction and competitiveness of sector. However, managers recognize there is need introduce some change on short-term to promote a better performance of staff with effect on customers satisfaction and competitiveness on sector in Portugal. According to these results, the paper discusses the major theoretical and practical implications.

Otimização do processo de injeção de ZAMAK

A indústria automóvel necessita aumentar a produtividade de forma sistemática, com vista à redução de custos e incremento da competitividade. A otimização dos produtos e processos é uma constante. O presente trabalho foi solicitado pela empresa FicoCables, do Grupo FICOSA, tendo em vista a otimização do processo de injeção de pequenas peças injetadas em ZAMAK, que constituem o bloqueio na extremidade de cada cabo metálico inserido nos automóveis para abertura da mala, portas, travão de mão, reservatório de combustível, capô, etc. A empresa possui cerca de 52 equipamentos de injeção de ZAMAK, cuja temperatura dos bicos era mantida com base numa chama de gás. Os sucessivos problemas de controlo do sistema ditaram uma mudança estratégica no aquecimento desses bicos, passando a ser usadas resistências elétricas anelares. No entanto, esta mudança veio a apresentar problemas inesperados, os quais se vieram inclusivamente a tornar em problemas de segurança, devido ao desgaste interior prematuro dos bicos, os quais apresentaram esmo problema de rotura. Paralelamente, todos os parâmetros relacionados com este processo de fabrico estavam também estudados de forma algo incipiente, pelo que se tornou necessário compreender e dissecar todas as variáveis relacionadas com o processo e implementar sistemas que impedissem o ajuste não controlado dos parâmetros por parte dos operadores. Também os moldes foram alvo de ações de melhoria, com vista a evitar problemas na zona de contacto do bico com o molde. O processo foi analisado em pormenor, permitindo um controlo muito mais apurado do mesmo. Os resultados fizeram sentir-se de forma imediata, graças ao trabalho desenvolvido neste estudo e à abertura demonstrada pela empresa para implementar todas as soluções propostas. O resultado final traduz-se num incremento significativo da segurança para os operadores, num controlo muito mais apurado de todos os parâmetros envolvidos no processo, numa maior garantia da qualidade nos produtos injetados em ZAMAK e em ganhos financeiros significativos para a empresa.

Sistema de recrutamento e seleção num grande grupo empresarial

Este Projeto de Intervenção visou a reestruturação do sistema de Recrutamento e Seleção para o Grande Grupo Empresarial tendo em conta a realidade das várias Empresas. Este projeto surgiu da necessidade de reconfiguração da visão, filosofia e estrutura da Direção de Pessoas e Comunicação (DPC) e pretendeu desenvolver uma proposta de valor aliciante para os talentos atuais e potenciais do mercado e da Organização, numa lógica de prestação de serviços às seis empresas do Grande Grupo Empresarial, designadas por grupo incubador, que foram o público-alvo deste projeto. Numa primeira fase, foi realizada uma breve apresentação do Grande Grupo Empresarial, seguindo-se de uma auditoria às práticas de Recursos Humanos e uma revisão da literatura ao tema identificado para intervenção deste projeto. Baseado na conjugação das análises realizadas anteriormente, definiu-se a finalidade do projeto que consistiu em garantir que, a partir de Janeiro de 2016, o Grande Grupo Empresarial tenha definido um Sistema de Recrutamento e Seleção adequado à estratégia de comunicação da DPC. Esta finalidade foi desdobrada em dois objetivos estratégicos: Concluir a preparação dos novos procedimento de Recrutamento e Seleção para implementação e Concluir a preparação das ferramentas de Recrutamento e Seleção para implementação e foi desenvolvido todo o planeamento operacional, onde se delinearam atividades, tarefas, recursos, calendarização, orçamento e o momento da avaliação do projeto. A fase de implementação teve a duração de 5 meses (Junho a Outubro de 2015) e a sua avaliação realizou-se durante e no final da implementação. Os resultados confirmam o cumprimento dos objetivos operacionais, estratégicos e da finalidade a que este projeto se propôs. A avaliação inclui o feedback obtido da equipa de Recrutamento e Seleção ao longo do desenvolvimento do projeto. A apreciação final por parte de todos os envolvidos é encorajadora para a adoção de uma nova metodologia de trabalho que permitirá à organização a captação e potenciação de talentos internos.