973 resultados para Industry Structure
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Dissertation presented to obtain the Ph.D degree in Biochemistry, Structural Biochemistry
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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente, perfil Gestão e Sistemas Ambientais
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Increasingly stringed regulations for diesel engine emissions have a significant impact on the required efficiency of DOC. Lowered DOC oxidation efficiency due to thermal aging effects influences the efficiency of the exhaust aftertreatment systems downstream of the DOC. In this work carried out in the Jean Le Rond d’Alembert Institute the effect of hydrothermal aging on the reactivity and structure of a commercial DOC was investigated. The characterization of the catalytic performance was carried out on a synthetic gas bench using carrots catalyst under conditions close to the realistic conditions i.e. using a synthetic gas mixture, representative of the exhaust gases from diesel engines. Different structural characterization techniques were performed: textural and morphological proprieties were analyzed by BET and TEM, the characterization of the presented crystallographic phases was performed by DRX and the determination of the number of reducible species was possible by TPR. TEM results shown, an increase of the metal particle size with the aging caused by the agglomeration of metal particles, revealing the presence of metal sintering. DRX results also suggest the presence of support sintering. Furthermore, DRX and BET results unexpectedly reveal that the most drastic aging conditions used actually activated the catalyst surface. As expected, the aging affected negatively the catalyst performance on the oxidation of methane and CO, however an improvement of the NO oxidation performance with the aging was observed. Nevertheless, for the aging conditions used, catalytic activity results show that the influence of aging in DOC performance was not significant, and therefore, more drastic aging conditions must be used.
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Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.
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With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.
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The purpose of this paper is to conduct a methodical drawback analysis of a financial supplier risk management approach which is currently implemented in the automotive industry. Based on identified methodical flaws, the risk assessment model is further developed by introducing a malus system which incorporates hidden risks into the model and by revising the derivation of the most central risk measure in the current model. Both methodical changes lead to significant enhancements in terms of risk assessment accuracy, supplier identification and workload efficiency.
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Logoplaste is a specialist in operating in-house industrial sites for manufacturing rigid plastic packaging containers. In developing countries, especially in Africa, the low income of consumers does not allow a widespread adoption of products typically sold in rigid plastic containers. In these countries the flexible packages are usually adopted as they allow for better ratios of cost/litter of product, particularly in smaller packages. Should Logoplaste offer this type of technology in order to expand into developing countries?
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This marketing plan project is a culmination of extensive strategies with the use of experiential marketing to address issues confronting the Kenyan tourism industry in order to have a sustainable tourism sector. Following the terrorist attack carried out by Islamist militants’ belonging to al-Shabaab terrorist organization on Nairobi’s Westgate shopping mall in September 2013, tourist forecast has gone down sharply with an average of 20% fall in tourists’ arrivals which is likely to have an impact on the tourism sector in Kenya. Even before the deadly attack on Westgate, the most lethal attack by Islamist terrorists in 15 years in Kenya, the government through the Kenya tourist board had announced that in 2013 tourist arrivals were down by 12%, at 495,978, according to an October 2013 report by Bloomberg. Tourism revenues were also down by 7.4%, over FY12/13 (July-June) to reach KES96.24bn, according to a September 2013 report on the local Capital FM website. Beyond 2013, much will depend on how quickly the Kenya tourist board can regain control of the situation. The Kenyan government believes that the Westgate mall attack was a 'one-off' incident, with a low probability of a similar event happening again over the short term period. Germany, United States, United Kingdom, Australia, Italy, France and Canada continue to be the key source market however; the Kenya tourist board can make continued growth stronger from new emerging markets in order to increase new arrivals into the country. The marketing plan outlines the objectives to be implemented and provides the implementation strategy, activity plans, monitoring and evaluation plans, financial requirements projections and proposes a new structure of experiential marketing. A number of regional forces are identified that will impact tourism into the country including global, social and economic forces, emerging trends in visitor motivations and behavior, emerging forces in experiential marketing. A major component of the strategy identifies target markets for Kenya to commensurate with the level of resources that will be available for marketing and promotion, in keeping with the forces and trends identified and the nature of the Kenya tourism environment. The agreed upon target market segments are: generic/mass travel, experiential travel, creative travel, adventure seeking travel, senior/extended/long stay travel, and business related travel. The strategy phases the development of the target markets over the years of the marketing strategies in order to yield the best opportunity for results. A core activity in developing a marketing strategy is determining the nature of experiences Kenya offers in tourism. The strategy’s experience development process will continue to develop within the context of the products identified which will be promoted regionally: culture/heritage, nature, community-based. Each county in the country has a significant number of attractions and experiences and the challenge of the country is to bring these together in a creative and innovative way in order to encourage tourists to visit more than one county in Kenya.
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Based on the report for the course on “Social Factors of Innovation” of the PhD Program on Technology Assessment, supervised by Prof. António Brandão Moniz, Monte de Caparica, University NOVA Lisbon, Faculty of Sciences and Technology, July 2013
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A Work Project, presented as part of the requirements for the Award of a Master’s Double Degree in Finance from Maastricht University and NOVA – School of Business and Economics
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The present Work Project was performed as a Case Study, analysing the merger between Zon, a leading Portuguese Pay TV operator and Optimus, the third largest mobile company in Portugal. The Case Study was developed with the purpose of understanding the value creation of the Zon-Optimus merger, being analysed the: (i) industry trends, (ii) parties’ contribution, (iii) pre-merger events, (iv) merger rationale, (v) deal structure and valuation, (vi) competition authority decision and (vii) competitive advantages and future strategy. Was also attached a Teaching Note where synergies, implied valuations, exchange ratios, shareholder agreements, swot analysis, among others, were duly analysed.
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Case Study
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The evolution of mobile technologies that make its presence something ubiquitous and the idea of internet connectivity in every device, often called as the Internet of Things, are pushing a disruption in other industry: the in-vehicle infotainment (IVI). Many companies are trying to enter this new industry that comprises information (weather, news, location services) and entertainment solutions in just one. For that purpose, company X developed a new entertainment solution and intends to bring it to market. This Work Project focuses on creating a business model and an entry mode for the company.
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The purpose of this work is to understand the internal and external structure in which the company operates to provide an idea of the strategic actions needed to accomplish their organizational objectives. A strategic software was employed to build up phase one and phase two, phase one involved analysing internal and external factors that influence the company, comprehending their core competences, factors that influence the market and identification of strengths and weaknesses. Phase two consisted on providing an idea of their real competitive position and the suggestion of a development strategy, given the possible limitations in the external factors, the company should carefully analyse some of the opportunities present in the industry overseas to continue to develop their business and increase its profitability. Furthermore, a source of competitive advantage was found in their outbound logistics which could serve a differentiator between their competitors.
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This dissertation studies essentially how Millennials are changing the hotel industry, in the sense that new trends are emerging with this generation and hotels need to respond accordingly, in order to survive within their competitive industry. Emphasis is also given to Asian travellers, as the enlargement of these countries’ middle class populations is predicted, therefore making Asian travellers a valuable target for the hotel industry. To successfully target this segment, hoteliers need also to consider the cultural differences and aspirations that come together with the Asian travellers, and appropriately adapt their offer to them. I will then redirect this study to the city of Lisbon, the Portuguese capital, to analyse if Lisbon’s four and five-star hotel managers are aware of the new market trends, and to understand how they are changing their hotels in order to make them more attractive to Millennials and Asian travellers. Using a sample of 12 hotels (four and five-stars ratings), I have concluded that, although there is a notable undergoing process of adaptation to these guests, there is a long way ahead in order for Lisbon’s hotels to entirely please and retain millennial guests.