O recurso ao outsourcing na prestação de cuidados de saúde

Nos últimos anos verificou-se uma alteração das condições e modo de funcionamento de empresas e instituições, privadas e públicas, muitas delas através da introdução de novas ferramentas de gestão. De entre elas, podemos destacar o outsourcing, que apesar de não ser um fenómeno actual, é ainda em Portugal uma ferramenta recente e pouco explorada, que pode contribuir de forma decisiva para a modernização, flexibilidade e competitividade das empresas. O presente estudo pretende abordar a contratação de serviços externos nos serviços de saúde públicos, também conhecido como outsourcing, mediante uma análise prática da realidade de uma instituição hospitalar com sete serviços em regime de outsourcing, com recolha dos dados durante o triénio 2008-2010. No Serviço de Urgência durante 2010 o principal prestador recebeu mais 104,28% acima do valor referência/hora, no Serviço de Oftalmologia no ano de 2010 o prestador recebeu um valor superior em 24,91%, no Serviço de Limpeza, Higiene e Conforto é pago ao prestador durante o ano de 2010 um valor superior em 13,85%, no Serviço de Vigilância e Segurança o prestador recebeu durante o ano de 2010 um valor superior em 27,5%, caso a instituição hospitalar optasse por contratar, para os serviços atrás referidos, profissionais para o quadro de pessoal. Ainda em relação ao Serviço de Urgência foi pago mais 21,38% acima do valor de referência publicado por Despacho governamental. Em relação aos Serviços de Lavandaria e de Tratamento de Resíduos Sólidos, não foi possível recolher os dados necessários que pudessem levar a uma conclusão válida sobre os custos pagos pela instituição hospitalar. Pode-se concluir que a contratação de prestadores externos, para os serviços de saúde, essenciais e não essenciais, em regime de outsourcing, revela-se na maioria dos casos analisados a opção menos económica, com custos bastantes elevados.

Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties

A novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS), Case-based Reasoning (CBR), and Bio-Inspired Optimization Techniques (BIT) will be described. AC has emerged as a paradigm aiming at incorporating applications with a management structure similar to the central nervous system. The main intentions are to improve resource utilization and service quality. In this paper we envisage the use of MAS paradigm for supporting dynamic and distributed scheduling in Manufacturing Systems with AC properties, in order to reduce the complexity of managing manufacturing systems and human interference. The proposed CBR based Intelligent Scheduling System was evaluated under different dynamic manufacturing scenarios.

Self-optimization for dynamic scheduling in manufacturing systems

Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. In this paper, we describe a Self-Optimizing Mechanism for Scheduling System through Nature Inspired Optimization Techniques (NIT).

MASDSheGATS – Scheduling System for Dynamic Manufacturing Environments

This chapter addresses the resolution of scheduling in manufacturing systems subject to perturbations. The planning of Manufacturing Systems involves frequently the resolution of a huge amount and variety of combinatorial optimisation problems with an important impact on the performance of manufacturing organisations. Examples of those problems are the sequencing and scheduling problems in manufacturing management, routing and transportation, layout design and timetabling problems.

Self-organization for scheduling in agile manufacturing

Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.

Collective intelligence on dynamic manufacturing scheduling optimization

Swarm Intelligence (SI) is a growing research field of Artificial Intelligence (AI). SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviours of insects and of other animals. This paper presents hybridization and combination of different AI approaches, like Bio-Inspired Techniques (BIT), Multi-Agent systems (MAS) and Machine Learning Techniques (ML T). The resulting system is applied to the problem of jobs scheduling to machines on dynamic manufacturing environments.

Autonomic computing for scheduling in manufacturing systems

We describe a novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Autonomic Computing has emerged as paradigm aiming at embedding applications with a management structure similar to a central nervous system. A natural Autonomic Computing evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. In this paper we envisage the use of Multi-Agent Systems paradigm for supporting dynamic and distributed scheduling in Manufacturing Systems with Autonomic properties, in order to reduce the complexity of managing systems and human interference. Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems.

Cooperative intelligent system for manufacturing scheduling

Hybridization of intelligent systems is a promising research field of computational intelligence focusing on combinations of multiple approaches to develop the next generation of intelligent systems. In this paper we will model a Manufacturing System by means of Multi-Agent Systems and Meta-Heuristics technologies, where each agent may represent a processing entity (machine). The objective of the system is to deal with the complex problem of Dynamic Scheduling in Manufacturing Systems.

Self-managing agents for dynamic scheduling in manufacturing

The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference.

Scheduling in holonic manufacturing systems

This chapter presents some of the issues with holonic manufacturing systems. It starts by presenting the current manufacturing scenario and trends and then provides some background information on the holonic concept and its application to manufacturing. The current limitations and future trends of manufacturing suggest more autonomous and distributed organisations for manufacturing systems; holonic manufacturing systems are proposed as a way to achieve such autonomy and decentralisation. After a brief literature survey a specific research work is presented to handle scheduling in holonic manufacturing systems. This work is based on task and resource holons that cooperate with each other based on a variant of the contract net protocol that allow the propagation of constraints between operations in the execution plan. The chapter ends by presenting some challenges and future opportunities of research.

Jogos Sérios para Lean Manufacturing: “Jogo: Método 5S”

A crise económica global que se faz sentir leva a que surja uma necessidade de aumentar a competitividade das empresas, através da melhoria de performance dos seus colaboradores. Nesse sentido, Lean Manufacturing é uma área que merece a atenção das empresas e dos seus colaboradores, uma vez que os seus principais objectivos são o aumento da produtividade, a redução dos desperdícios e a optimização dos recursos disponíveis. Uma ferramenta do Lean que merece especial destaque é o Método 5S, que permite aumentar a produtividade através do aumento da organização do posto de trabalho. Uma vez que usar postos de trabalho a mais, de modo a que os colaboradores pratiquem e aprendam a aplicar as regras do 5S, fica dispendioso em tempo de trabalho e custos acrescidos pela paragem da linha produção, surge a necessidade de criação de um Jogo Sério que ajude na aprendizagem destes temas. Um breve estudo do mercado revelou que esta necessidade não está a ser devidamente respondida. Existem algumas entidades que se dedicam ao ensino e partilha deste tipo de conhecimentos, sendo poucas as que têm ferramentas digitais disponíveis. Esta dissertação propõe um Jogo Sério que pretende dar resposta a esta necessidade, permitindo pôr em prática o Método 5S, servindo ainda como ferramenta motivadora, para que o colaborador aprofunde o seu conhecimento na matéria. Esta abordagem prática encoraja o jogador a aprender por tentativa e erro. Informações mostradas ao longo do jogo permitem uma aprendizagem sem haver uma sobrecarga cognitiva. A avaliação do jogo, realizada por um grupo de alunos que frequentam o Mestrado em Engenharia Mecânica, demonstrou que a nossa abordagem é eficiente e resulta na aprendizagem dos conceitos 5S.

Position paper on time and event-triggered communication services in the context of e-manufacturing

Modern factories are complex systems where advances in networking and information technologies are opening new ways towards higher efficiency. Such move is being driven by market rules with ever-increasing competition levels, in search for faster time-to-market, improved process yield, non-stop operations, flexible manufacturing and tighter supply-chain coupling. All these aims present a common requirement, i.e. a realtime flow of information, from the plant-floor up to the management, maintenance, suppliers and clients, to support accurate monitoring and control of the factory. This stresses the importance achieved by the communication infrastructure in modern manufacturing industry. This paper presents the authors view concerning the current trends in modern factory communication systems. It addresses the problems of seamlessly integrating different information flows with diverse requirements, mainly in terms of timeliness. In this aspect, the debate between event-triggered and time-triggered communication is revisited as well as the joint support for both types of traffic. Finally, a view of where factory communication systems are moving to is also presented, showing the impact of open and widely available technologies.

Outsourcing das actividades de marketing digital nas PME

Dissertação de Mestrado Apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Marketing Digital, sob orientação de Professor Doutor Freitas Santos

Flexible manufacturing field trial

Within the European project R-Fieldbus (http://www.hurray.isep.ipp.pt/activities/rfieldbus/), an industrial manufacturing field trial was developed. This field trial was conceived as a demonstration test bed for the technologies developed during the project. Because the R-Fieldbus field trial included prototype hardware devices, the purpose of this equipment changed and since the conclusion of the project, several new technologies also emerged, therefore an update of the field trial was required. This document describes an update of the manufacturing field trial. The purpose of this update, the changes and improvements introduced are described in the document. Additionally, this document also provides a reliable source of documentation for the equipment, configuration and software components of the manufacturing field trial.

Development of a platform for lean manufacturing simulation games

More than ever, the economic globalization is creating the need to increase business competitiveness. Lean manufacturing is a management philosophy oriented to the elimination of activities that do not create any type of value and are thus considered a waste. One of the main differences from other management philosophies is the shop-floor focus and the operators' involvement. Therefore, the training of all organization levels is crucial for the success of lean manufacturing. Universities should also participate actively in this process by developing students' lean management skills and promoting a better and faster integration of students into their future organizations. This paper proposes a single realistic manufacturing platform, involving production and assembly operations, to learn by playing many of the lean tools such as VSM, 5S, SMED, poke-yoke, line balance, TPM, Mizusumashi, plant layout, and JIT/kanban. This simulation game was built in tight cooperation with experienced lean companies under the international program “Lean Learning Academy,”http://www.leanlearningacademy.eu/ and its main aim is to make bachelor and master courses in applied sciences more attractive by integrating classic lectures with a simulated production environment that could result in more motivated students and higher study yields. The simulation game results show that our approach is efficient in providing a realistic platform for the effective learning of lean principles, tools, and mindset, which can be easily included in course classes of less than two hours.