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

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Avaliação de benefícios da integração do BIM nas opera-ções de Facilities Management

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

A distributed platform for the volunteer execution of workflows on a local area network

Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science

the liver endoplasmic reticulum in malaria liver infection

Malaria, a disease caused by Plasmodium, represents a major health problem with a still disconcertingly high mortality rate (655 000 malaria deaths were estimated by the World Health Organization in 2012), mainly in Africa [1]. After a bite by an infected Anopheles mosquito occurs, Plasmodium sporozoites reach their target organ, the liver, within minutes. After traversing several hepatocytes, the parasite invades a final one and establishes a parasitophorous vacuole, where it replicates exponentially generating thousands of infective merozoites, the red blood cell infectious forms that are released in the blood stream. The liver stage is the first obligatory phase of malaria infection and, although no symptoms are associated with it, it is absolutely crucial to the establishment of a successful infection.(...)

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.

A DSL for querying building data streams of energy, eeather and occupation data

The superfluous consumption of energy is faced by the modern society as a Socio-Economical and Environmental problem of the present days. This situation is worsening given that it is becoming clear that the tendency is to increase energy price every year. It is also noticeable that people, not necessarily proficient in technology, are not able to know where savings can be achieved, due to the absence of accessible awareness mechanisms. One of the home user concerns is to balance the need of reducing energy consumption, while producing the same activity with all the comfort and work efficiency. The common techniques to reduce the consumption are to use a less wasteful equipment, altering the equipment program to a more economical one or disconnecting appliances that are not necessary at the moment. However, there is no direct feedback from this performed actions, which leads to the situation where the user is not aware of the influence that these techniques have in the electrical bill. With the intension to give some control over the home consumption, Energy Management Systems (EMS) were developed. These systems allow the access to the consumption information and help understanding the energy waste. However, some studies have proven that these systems have a clear mismatch between the information that is presented and the one the user finds useful for his daily life, leading to demotivation of use. In order to create a solution more oriented towards the user’s demands, a specially tailored language (DSL) was implemented. This solution allows the user to acquire the information he considers useful, through the construction of questions about his energy consumption. The development of this language, following the Model Driven Development (MDD) approach, took into consideration the ideas of facility managers and home users in the phases of design and validation. These opinions were gathered through meetings with experts and a survey, which was conducted to the purpose of collecting statistics about what home users want to know.

On an organizational level: How can the emergency department at Rouge Valley Centenary hospital improve their wait times?

The prolonged wait times may arguably put into question the Canadian Health Act of 1984. Statistics show throughput wait times are 5.5 hours and output wait times for admitted patients are 32.4 hours. After probing and analyzing best practices through a qualitative/quantitative Value Stream Mapping and a qualitative SWOT Analysis; Team Triage and an Overcapacity Protocol is suggested to improve non-admitted patients wait times by 1.89 hours and admitted patients wait times by 16 hours by eliminating wasteful steps in the patient process and upon overcapacity, effectively sharing already stabilized and admitted patients with all wards in the hospital.

Optimization of wastewater quality in the Sines refinery

In order to address and resolve the wastewater contamination problem of the Sines refinery with the main objective of optimizing the quality of this stream and reducing the costs charged to the refinery, a dynamic mass balance was developed nd implemented for ammonia and polar oil and grease (O&G) contamination in the wastewater circuit. The inadequate routing of sour gas from the sour water stripping unit and the kerosene caustic washing unit, were identified respectively as the major source of ammonia and polar substances present in the industrial wastewater effluent. For the O&G content, a predictive model was developed for the kerosene caustic washing unit, following the Projection to Latent Structures (PLS) approach. Comparison between analytical data for ammonia and polar O&G concentrations in refinery wastewater originating from the Dissolved Air Flotation (DAF) effluent and the model predictions of the dynamic mass balance calculations are in a very good agreement and highlights the dominant impact of the identified streams for the wastewater contamination levels. The ammonia contamination problem was solved by rerouting the sour gas through an existing clogged line with ammonia salts due to a non-insulated line section, while for the O&G a dynamic mass balance was implemented as an online tool, which allows for prevision of possible contamination situations and taking the required preventive actions, and can also serve as a basis for establishing relationships between the O&G contamination in the refinery wastewater with the properties of the refined crude oils and the process operating conditions. The PLS model developed could be of great asset in both optimizing the existing and designing new refinery wastewater treatment units or reuse schemes. In order to find a possible treatment solution for the spent caustic problem, an on-site pilot plant experiments for NaOH recovery from the refinery kerosene caustic washing unit effluent using an alkaline-resistant nanofiltration (NF) polymeric membrane were performed in order to evaluate its applicability for treating these highly alkaline and contaminated streams. For a constant operating pressure and temperature and adequate operating conditions, 99.9% of oil and grease rejection and 97.7% of chemical oxygen demand (COD) rejection were observed. No noticeable membrane fouling or flux decrease were registered until a volume concentration factor of 3. These results allow for NF permeate reuse instead of fresh caustic and for significant reduction of the wastewater contamination, which can result in savings of 1.5 M€ per year at the current prices for the largest Portuguese oil refinery. The capital investments needed for implementation of the required NF membrane system are less than 10% of those associated with the traditional wet air oxidation solution of the spent caustic problem. The operating costs are very similar, but can be less than half if reusing the NF concentrate in refinery pH control applications. The payback period was estimated to be 1.1 years. Overall, the pilot plant experimental results obtained and the process economic evaluation data indicate a very competitive solution through the proposed NF treatment process, which represents a highly promising alternative to conventional and existing spent caustic treatment units.