Implementação, documentação e avaliação da aplicação de Lean Maintenance no Sistema de Armas Epsilon

Dissertação para obtenção do Grau de Mestre em Engenharia Mecânica

A Lean construction em obras de reabilitação – análise de adequabilidade e contributo para a definição de um modelo de aplicação

Dissertação para obtenção do Grau de Mestre em Engenharia Civil – Perfil de Construção

Molecular tools to dissect the role of Dmrt2a and Dmrt2b in the left-right axis formation in zebrafish

Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

Aplicação da metodologia Lean no serviço de manutenção de uma empresa alimentar

Dissertação para obtenção do Grau de Mestre em Engenharia Mecânica

A simulation model for lean, agile, resilient and green supply chain management: practices and interoperability assessment

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Purification of complex biopharmaceuticals with new processes, advanced analytics and computer-aided process design tools

Dissertação para obtenção do Grau de Mestre em Biotecnologia

Aplicação de ferramentas Lean e Seis Sigma numa indústria de sistemas de fixação

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Optimization of investment promotion tools for Portugal: Specific recommendations to attract investments from Germany

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Lean no sistema de gestão de conservação e manutenção de auto-estradas

Dissertação para obtenção do Grau Mestre em Engenharia Civil – Perfil de Construção

Introduction: digital methods and tools for historical research

As an introduction to a series of articles focused on the exploration of particular tools and/or methods to bring together digital technology and historical research, the aim of this paper is mainly to highlight and discuss in what measure those methodological approaches can contribute to improve analytical and interpretative capabilities available to historians. In a moment when the digital world present us with an ever-increasing variety of tools to perform extraction, analysis and visualization of large amounts of text, we thought it would be relevant to bring the digital closer to the vast historical academic community. More than repeating an idea of digital revolution introduced in the historical research, something recurring in the literature since the 1980s, the aim was to show the validity and usefulness of using digital tools and methods, as another set of highly relevant tools that the historians should consider. For this several case studies were used, combining the exploration of specific themes of historical knowledge and the development or discussion of digital methodologies, in order to highlight some changes and challenges that, in our opinion, are already affecting the historians' work, such as a greater focus given to interdisciplinarity and collaborative work, and a need for the form of communication of historical knowledge to become more interactive.

Integração de princípios ergonómicos em Lean Seis Sigma numa indústria alimentar

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Uma perspetiva Lean Seis Sigma na melhoria contínua de um sistema logístico de produção

A globalização da indústria leva a ambientes industriais cada vez mais competitivos em que a redução de desperdícios e melhoria dos sistemas produtivos e logísticos tornam-se fatores críticos para o sucesso e sustentabilidade de uma organização. Desta forma, a presente dissertação tem como âmbito a melhoria contínua em sistemas logísticos de produção através de uma perspetiva Lean Seis Sigma (modelo híbrido) testado e implementado na Visteon Portuguesa Lda. Neste modelo proposto serão identificadas oportunidades de melhoria no fluxo logístico de produção, no sistema de armazenamento e no processo produtivo e a sua implementação. Estas serão identificadas com base na elaboração do Value Stream Mapping (VSM) do processo produtivo do cluster B299 High. Posteriormente, serão aplicados métodos e ferramentas Lean e Seis Sigma que permitirão atingir o objetivo estipulado para cada uma. A nível do fluxo logístico de produção, foi introduzido o Systematic Layout Planning (SLP) de forma a estudar a configuração existente e as suas restrições, bem como a existência de um rearranjo na mesma que seja vantajoso para a redução do tempo despendido em transporte de materiais entre zonas da configuração. Com o intuito de minimizar o manuseamento dos materiais foi desenvolvido e proposto um novo sistema de transporte. Para a melhoria do sistema de armazenagem, foram criados armazéns distintos dependendo do tipo de material armazenado, e uma análise ABC para identificar quais os produtos com maior número de movimentações e assim, definir qual a melhor configuração das localizações nas racks. Para o abastecimento dos materiais, torna-se também necessário a conceção e implementação de um sistema order picking, tendo como objetivo a agilização do sistema de armazenagem. Por último, foi desenvolvido um estudo DMAIC para melhorar o processo produtivo, com o intuito de aumentar a performance do mesmo através da redução de scrap.

Construction of Lean and Green indexes to measure companies’ performance

The demand for costs and time reductions in companies’ processes, in order to increase efficiency, leads companies to seek innovative management paradigms to support their needs for growth and continuous improvement. The Lean paradigm has great relevance in companies’ need for waste reduction, particularly in manufacturing companies. On the other hand the demand of companies for waste reduction has gained a new dimension not only at the material level, but also at the environmental level with the introduction of the Green paradigm. As such, manufacturing companies have been adopting practices that reduce the impact of their activities on the environment. Although nowadays many manufacturing companies already implement waste reduction practices related to Lean and Green paradigms, many of them are unable to understand specifically if their efforts are enough for the application of these practices to be successful or even if their actual performance in implementing Lean or Green practices reflects the self-assessment that they have of themselves. Thus, besides the study of the development of Lean and Green paradigms in recent years, the present dissertation has the important objective of the construction of two indexes (the Lean Index and the Green Index) enabling the measurement of the performance of Portuguese manufacturing companies relating the implementation of Lean and Green practices. The data used to create the Lean and Green indexes where obtained from the implementation of the European Manufacturing Survey 2012 in Portugal. The survey questions related to the implementation of Lean and Green practices are used as variables in the development of the model for the two indexes. For the construction of representative expressions of Lean Index and Green Index it was applied the Factorial Analysis for assigning the variables weights and aggregation.