RFID together with multi-agent systems to control global value chains

Nowadays, the cooperative intelligent transport systems are part of a largest system. Transportations are modal operations integrated in logistics and, logistics is the main process of the supply chain management. The supply chain strategic management as a simultaneous local and global value chain is a collaborative/cooperative organization of stakeholders, many times in co-opetition, to perform a service to the customers respecting the time, place, price and quality levels. The transportation, like other logistics operations must add value, which is achieved in this case through compression lead times and order fulfillments. The complex supplier's network and the distribution channels must be efficient and the integral visibility (monitoring and tracing) of supply chain is a significant source of competitive advantage. Nowadays, the competition is not discussed between companies but among supply chains. This paper aims to evidence the current and emerging manufacturing and logistics system challenges as a new field of opportunities for the automation and control systems research community. Furthermore, the paper forecasts the use of radio frequency identification (RFID) technologies integrated into an information and communication technologies (ICT) framework based on distributed artificial intelligence (DAI) supported by a multi-agent system (MAS), as the most value advantage of supply chain management (SCM) in a cooperative intelligent logistics systems. Logistical platforms (production or distribution) as nodes of added value of supplying and distribution networks are proposed as critical points of the visibility of the inventory, where these technological needs are more evident.

Exposição ocupacional a formaldeído: avaliação da exposição e efeitos genotóxicos

O formaldeído (FA) foi classificado, em 2004, pela International Agency for Cancer Research como agente cancerígeno. Este agente químico ocupa a 25ª posição em toda a produção química dos Estados Unidos da América, com mais de 5 milhões de toneladas produzidas por ano. Devido à sua importância económica e uso diversificado, muitos indivíduos estão expostos profissionalmente a FA. Com o estudo desenvolvido pretendeu‑se avaliar a exposição a FA em dois contextos ocupacionais distintos – na produção de FA e resinas e em laboratórios de anatomia patológica (AP) e relacionar com eventuais efeitos para a saúde, comparando a frequência de micronúcleos (MN) em linfócitos do sangue periférico e em células esfoliadas da mucosa bucal dos trabalhadores expostos a FA com indivíduos não expostos (controlos). Como amostra foram estudados 80 trabalhadores ocupacionalmente expostos a FA: 30 trabalhadores da fábrica de produção de FA e resinas e 50 trabalhadores de 10 laboratórios de AP. Foi constituído um grupo controlo de 85 indivíduos com atividades profissionais que não envolviam a exposição a formaldeído ou qualquer outro agente químico com propriedades genotóxicas. Aplicaram‑se duas metodologias distintas de avaliação ambiental do FA com o objetivo de conhecer a exposição profissional. Compararam‑se os resultados obtidos com os valores limite para a exposição média ponderada (TLV‑TWA=0,75 ppm) e para a concentração máxima (VLE‑CM=0,3 ppm). A totalidade dos laboratórios apresentou resultados superiores ao valor de referência existente para a concentração máxima. Nenhum dos resultados obtidos para a exposição média ponderada foi superior ao valor de referência. O exame macroscópico obteve os valores das concentrações máximas mais elevadas em 90% dos laboratórios. Os valores de MN foram mais elevados nos indivíduos expostos a FA comparativamente com os controlos. No caso dos MN nos linfócitos, a média foi de 3,96 nos expostos e de 0,81 nos não expostos. Os MN nas células esfoliadas da boca apresentaram uma média de 0,96 nos expostos e de 0,16 nos controlos. Os resultados obtidos nesta acção de biomonitorização podem revelar‑se particularmente úteis para as organizações responsáveis em definir os níveis aceitáveis para a exposição humana a FA. ABSTRACT: Since 2004, formaldehyde (FA) has been classified by the International Agency for Cancer Research as a carcinogen. The FA ranks 25th in the overall United States chemical production, with more than 5 million tons produced each year. Due to its economic importance and varied use, many individuals are exposed to FA at their occupational settings. This study aimed to assess the exposure to FA in two occupational settings – FA production factory and pathology anatomy (PA) laboratories – and relate it to possible health effects by comparing frequency of micronuclei (MN) in peripheral blood lymphocytes and exfoliated cells from the oral mucosa of workers exposed to FA with individuals not exposed to this agent (controls). This study was performed in 80 workers occupationally exposed to FA: 30 workers of the FA factory and 50 workers in 10 PA laboratories. The control group comprised 85 subjects without exposure. We have applied two different methodologies for environmental monitoring of FA. The results were compared with the reference to the exposure weighted average (TLV‑TWA = 0.75 ppm) and ceiling concentration (VLE‑MC = 0.3 ppm). All laboratories had results higher than the reference value to CM (1.41 ppm). None of the results obtained for the TWA exposure (0.16 ppm) were higher than the reference value. Macroscopic examination obtained the highest values of CM in 90% of laboratories. MN values were higher in individuals exposed to FA as compared to controls. As for MN in lymphocytes, the average was 3.96 in exposed compared with 0.81 in the unexposed. The MN in exfoliated cells of the buccal mucosa had an average of 0.96 in exposed, compared with 0.16 in controls. The results of this biomonitoring can be particularly useful to organizations responsible for defining acceptable levels for human exposure to FA.

Expressão de transtirretina no sistema gastrointestinal do murganho

A transtirretina (TTR) é uma proteína plasmática constituída por quatro subunidades idênticas de aproximadamente 14KDa e de massa molecular de 55 KDa (Blake et al., 1978). A TTR é responsável pelo transporte de tiroxina (T4) (Andrea et al., 1980) e retinol (vitamina A), neste último tipo de transporte através da ligação à proteina de ligação ao retinol (RBP) (Kanai et al., 1968). É sintetizada principalmente pelo fígado e secretada para o sangue (Murakami et al., 1987) e também sintetizada pelas células epiteliais do plexo coróide e secretada para o líquido cefaloraquidiano (LCR) (Aleshire et al., 1983). Existem outros locais que expressam TTR mas em menor quantidade, nomeadamente: a retina do olho (Martone et al., 1988), o pâncreas (Kato et al., 1985), o saco vitelino visceral (Soprano et al., 1986) o intestino (Loughna et al., 1995); o estômago, coração, músculo e baço (Soprano et al., 1985). A TTR é uma proteína, do ponto de vista filogenético, extremamente conservada o que já de si é um indicador da sua importância biológica (Richardson, 2009) O objectivo deste trabalho foi avaliar a expressão de transtirretina ao longo do sistema gastrointestinal do murganho, nos seguintes órgãos esófago, estômago, duodeno, cólon e também bexiga, com cerca de 3 meses de idade. O segundo objectivo foi identificar as células responsáveis por essa expressão, nos órgãos em estudo. Foi possível verificar que apenas o estômago apresenta valores de expressão normalizada de TTR diferente de zero, expressão essa muito inferior à do fígado, tal como se esperava. Por imunohistoquímica/imunofluorescência foi possível determinar que as células que expressam TTR são pouco abundantes e estão presentes na região glandular do estômago do murganho e também do humano. Para além disto, verificou-se que a TTR co-localiza com somatostatina e que as células que sintetizam TTR correspondem às células D, responsáveis pela secreção de somatostatina

DITRANS - a multi-agent system for integrated diagnosis of power transformers

This paper describes the development and the implementation of a multi-agent system for integrated diagnosis of power transformers. The system is divided in layers which contain a number of agents performing different functions. The social ability and cooperation between the agents lead to the final diagnosis and to other relevant conclusions through integrating various monitoring technologies, diagnostic methods and data sources, such as the dissolved gas analysis.

MASCEM improvement for agent based coalitions

This paper presents MASCEM - Multi-Agent Simulator for Electricity Markets improvement towards an enlarged model for Seller Agents coalitions. The simulator has been improved, both regarding its user interface and internal structure. The OOA, used as development platform, version was updated and the multi-agent model was adjusted for implementing and testing several negotiations regarding Seller agents’ coalitions. Seller coalitions are a very important subject regarding the increased relevance of Distributed Generation under liberalised electricity markets.

MASGriP – a Multi-Agent Smart Grid Simulation Platform

The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Multi-agent simulation of continental, regional, and micro electricity markets

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

Agent-based simulation of electronic marketplaces with decision support

This paper presents a Multi-Agent Market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agents reactions.

A multi-agent system for the support of producer coalition formation in electricity markets

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. To get negotiation power and advantages of scale economy, distributed producers can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multitechnology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the development of a multi-agent market simulator – MASCEM – able to study alternative coalitions of distributed producers in order to identify promising Virtual Power Producers in an electricity market.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

A new approach for multi-agent coalition formation and management in the scope of electricity markets

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Multi-agent negotiation for coalition formation and management in electricity markets

Negotiation is a fundamental tool for reaching understandings that allow each involved party to gain an advantage for themselves by the end of the process. In recent years, with the increasing of compe-titiveness in most sectors, negotiation procedures become present in practically all of them. One particular environment in which the competitiveness has been increasing exponentially is the electricity markets sector. This work is directed to the study of electricity markets’ partici-pating entities interaction, namely in what concerns the formation, management and operation of aggregating entities – Virtual Power Players (VPPs). VPPs are responsible for managing coalitions of market players with small market negotiating influence, which take strategic advantage in entering such aggregations, to increase their negotiating power. This chapter presents a negotiation methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using MASCEM, taking advantage of its ability to provide the means to model and simulate VPPs. VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself.

Multi-agent systems and birtual producers in electronic marketplaces

This paper presents an agent-based simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviours, preference models and pricing algorithms, considering user risk preferences. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions. In the simulated market agents interact in several different ways and may joint together to form coalitions. In this paper we address multi-agent coalitions to analyse Distributed Generation in Electricity Markets

Multi-agent based electricity market simulator with VPP: Conceptual and implementation issues

This paper presents a new architecture for the MASCEM, a multi-agent electricity market simulator. This is implemented in a Prolog which is integrated in the JAVA program by using the LPA Win-Prolog Intelligence Server (IS) provides a DLL interface between Win-Prolog and other applications. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets.