913 resultados para Project analysis


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At a workshop held at Resources for the Future in September 2011, twelve of the authors were asked by the US Environmental Protection Agency (EPA) to provide advice on the principles to be used in discounting the benefits and costs of projects that affect future generations. Maureen L. Cropper chaired the workshop. Much of the discussion in this article is based on the authors' recommendations and advice presented at the workshop. © The Author 2014.

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Uncertainty contributes a major part in the accuracy of a decision-making process while its inconsistency is always difficult to be solved by existing decision-making tools. Entropy has been proved to be useful to evaluate the inconsistency of uncertainty among different respondents. The study demonstrates an entropy-based financial decision support system called e-FDSS. This integrated system provides decision support to evaluate attributes (funding options and multiple risks) available in projects. Fuzzy logic theory is included in the system to deal with the qualitative aspect of these options and risks. An adaptive genetic algorithm (AGA) is also employed to solve the decision algorithm in the system in order to provide optimal and consistent rates to these attributes. Seven simplified and parallel projects from a Hong Kong construction small and medium enterprise (SME) were assessed to evaluate the system. The result shows that the system calculates risk adjusted discount rates (RADR) of projects in an objective way. These rates discount project cash flow impartially. Inconsistency of uncertainty is also successfully evaluated by the use of the entropy method. Finally, the system identifies the favourable funding options that are managed by a scheme called SME Loan Guarantee Scheme (SGS). Based on these results, resource allocation could then be optimized and the best time to start a new project could also be identified throughout the overall project life cycle.

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Are you ready for a tender project? – Analysis of organisational project management maturity in the Austrian- Hungarian border region. Since the 1990s the European Union has paid more and more attention to subsidising cross-border development. It is understandable that different funding from proposal sources is particularly important for the border area, especially to those of utmost importance that support co-operation and rural development. Therefore, they could become a driving force for development. The authors’ research analyses the organisational project management maturity of the projects implemented in the frame of the Austria-Hungary Cross-border Cooperation Programme 2007-2013 (AT-HU). Analysing this kind of organisation is an important issue, since the new call for proposals are open in 2016 and the results of this study may provide a self-evaluation opportunity to organisations that need to know if they are ready or mature enough for a new tender project. The aim of this study was twofold. First of all, those indicators that could be used to analyse the project management maturity of implementing organisations in the AT-HU programme were identified. Based on the empirical research these are the project experience accumulated by the organisation, the internal processes operating at the institution and the professional background. Secondly, factors that can affect this project management maturity were explored and we determined five influencing area: the organisational structure, culture, project managers motivation and the typical and important competences.

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The evaluation and selection of industrial projects before investment decision is customarily done using marketing, technical and financial information. Subsequently, environmental impact assessment and social impact assessment are carried out mainly to satisfy the statutory agencies. Because of stricter environment regulations in developed and developing countries, quite often impact assessment suggests alternate sites, technologies, designs, and implementation methods as mitigating measures. This causes considerable delay to complete project feasibility analysis and selection as complete analysis requires to be taken up again and again till the statutory regulatory authority approves the project. Moreover, project analysis through above process often results sub-optimal project as financial analysis may eliminate better options, as more environment friendly alternative will always be cost intensive. In this circumstance, this study proposes a decision support system, which analyses projects with respect to market, technicalities, and social and environmental impact in an integrated framework using analytic hierarchy process, a multiple-attribute decision-making technique. This not only reduces duration of project evaluation and selection, but also helps select optimal project for the organization for sustainable development. The entire methodology has been applied to a cross-country oil pipeline project in India and its effectiveness has been demonstrated. © 2005 Elsevier B.V. All rights reserved.

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The evaluation and selection of industrial projects before investment decision is customarily done using marketing, technical, and financial information. Subsequently, environmental impact assessment and social impact assessment are carried out mainly to satisfy the statutory agencies. Because of stricter environment regulations in developed and developing countries, quite often impact assessment suggests alternate sites, technologies, designs, and implementation methods as mitigating measures. This causes considerable delay to complete project feasibility analysis and selection as complete analysis requires to be taken up again and again until the statutory regulatory authority approves the project. Moreover, project analysis through the above process often results in suboptimal projects as financial analysis may eliminate better options as more environment friendly alternative will always be cost intensive. In this circumstance, this study proposes a decision support system which analyses projects with respect to market, technicalities, and social and environmental impact in an integrated framework using analytic hierarchy process, a multiple attribute decision-making technique. This not only reduces duration of project evaluation and selection, but also helps select an optimal project for the organization for sustainable development. The entire methodology has been applied to a cross-country oil pipeline project in India and its effectiveness has been demonstrated. © 2008, IGI Global.

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Background: The increasing ageing prison population is becoming a pressing issue throughout the criminal justice system. Alongside the rising population, are a host of health and wellbeing issues that contribute to older offenders needs whilst in prison. It has been recommended that meaningful activities can have positive effects on this population and therefore this paper uniquely reviews older offenders accounts of taking part in an arts based project, Good Vibrations, whilst imprisoned. Objective and design: The Good Vibrations project engages individuals in Gamelan music making with an end of project performance. This study used independent in-depth interviews to capture the voices of older offenders who took part in an art based prison project. Analysis and Results: The interview data was analysed using thematic analysis, which highlighted themes that were consistent with other populations who have taken part in a Good Vibrations project, along with specific age relating issues of mobility, motivation, identity and wellbeing.

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BACKGROUND Research on engineering design is a core area of concern within engineering education and a fundamental understanding of how engineering students approach and undertake design is necessary in order to develop effective design models and pedagogies. Understanding the factors related to design experiences in education and how they affect student practice can help educators as well as designers to leverage these factors as part of the design process. PURPOSE This study investigated the design practices of first-year engineering students’ and their experiences with a first-year engineering course design project. The research questions that guided the investigation were: 1. From a student perspective, what design parameters or criteria are most important? 2. How does this perspective impact subsequent student design practice throughout the design process? DESIGN/METHOD The authors employed qualitative multi-case study methods (Miles & Huberman, 1994) in order to the answer the research questions. Participant teams were observed and video recorded during team design meetings in which they researched the background for the design problem, brainstormed and sketched possible solutions, as well as built prototypes and final models of their design solutions as part of a course design project. Analysis focused on explanation building (Yin, 2009) and utilized within-case and cross-case analysis (Miles & Huberman, 1994). RESULTS We found that students focused disproportionally on the functional parameter, i.e. the physical implementation of their solution, and the possible/applicable parameter, i.e. a possible and applicable solution that benefited the user, in comparison to other given parameters such as safety and innovativeness. In addition, we found that individual teams focused on the functional and possible/ applicable parameters in early design phases such as brainstorming/ ideation and sketching. When prompted to discuss these non-salient parameters (from the student perspective) in the final design report, student design teams often used a post-hoc justification to support how the final designs fit the parameters that they did not initially consider. CONCLUSIONS This study suggests is that student design teams become fixated on (and consequently prioritize) certain parameters they interpret as important because they feel these parameters were described more explicitly in terms how they were met and assessed. Students fail to consider other parameters, perceived to be less directly assessable, unless prompted to do so. Failure to consider other parameters in the early design phases subsequently affects their approach in design phases as well. Case studies examining students’ study strategies within three Australian Universities illustrate similarities with some student approaches to design.

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Improved forecasting of urban rail patronage is essential for effective policy development and efficient planning for new rail infrastructure. Past modelling and forecasting of urban rail patronage has been based on legacy modelling approaches and often conducted at the general level of public transport demand, rather than being specific to urban rail. This project canvassed current Australian practice and international best practice to develop and estimate time series and cross-sectional models of rail patronage for Australian mainland state capital cities. This involved the implementation of a large online survey of rail riders and non-riders for each of the state capital cities, thereby resulting in a comprehensive database of respondent socio-economic profiles, travel experience, attitudes to rail and other modes of travel, together with stated preference responses to a wide range of urban travel scenarios. Estimation of the models provided a demonstration of their ability to provide information on the major influences on the urban rail travel decision. Rail fares, congestion and rail service supply all have a strong influence on rail patronage, while a number of less significant factors such as fuel price and access to a motor vehicle are also influential. Of note, too, is the relative homogeneity of rail user profiles across the state capitals. Rail users tended to have higher incomes and education levels. They are also younger and more likely to be in full-time employment than non-rail users. The project analysis reported here represents only a small proportion of what could be accomplished utilising the survey database. More comprehensive investigation was beyond the scope of the project and has been left for future work.

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Projetos de construção são caracterizados pela escala, complexidade e seus riscos. Não é incomum encontrar planejamento e definição de escopo incompletos o que leva a aumento de custos e prazos. O objetivo desse trabalho é descrever um método de avaliação de riscos de forma a aumentar a previsibilidade da estimativa de custos do empreendimento. Para isso foram utilizados conceitos de gerenciamento de projetos, de simulação e de analise de riscos descritos na literatura para a constituição de um método de análise de riscos em estimativa de custos. A aplicação do método proposto em comparação com o método tradicional traz vantagens no que diz respeito à abrangência da análise. Enquanto pelo método tradicional a análise do empreendimento se faz por meio de suas tarefas, o método proposto analisa de forma distinta o planejamento do empreendimento nas suas três dimensões fundamentais: escopo, prazo e custo.

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Projetos de construção são caracterizados pela escala, complexidade e seus riscos. Não é incomum encontrar planejamento e definição de escopo incompletos o que leva a aumento de custos e prazos. O objetivo desse trabalho é descrever um método de avaliação de riscos de forma a aumentar a previsibilidade da estimativa de custos do empreendimento. Para isso foram utilizados conceitos de gerenciamento de projetos, de simulação e de analise de riscos descritos na literatura para a constituição de um método de análise de riscos em estimativa de custos. A aplicação do método proposto em comparação com o método tradicional traz vantagens no que diz respeito à abrangência da análise. Enquanto pelo método tradicional a análise do empreendimento se faz por meio de suas tarefas, o método proposto analisa de forma distinta o planejamento do empreendimento nas suas três dimensões fundamentais: escopo, prazo e custo.

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Hidráulica

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Rapport de stage présenté à la Faculté des sciences infirmières en vue de l'obtention du grade de Maître ès sciences (M.Sc.) option expertise-conseil en soins infirmiers