947 resultados para Fuzzy analytic hierarchy process


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This paper identifies the indicators of energy efficiency assessment in residential building in China through a wide literature review. Indicators are derived from three main sources: 1) The existing building assessment methods; 2)The existing Chinese standards and technology codes in building energy efficiency; 3)Academia research. As a result, we proposed an indicator list by refining the indicators in the above sources. Identified indicators are weighted by the group analytic hierarchy process (AHP) method. Group AHP method is implemented following key steps: Step 1: Experienced experts are selected to form a group; Step 2: A survey is implemented to collect the individual judgments on the importance of indicators in the group; Step 3: Members’ judgments are synthesized to the group judgments; Step 4: Indicators are weighted by AHP on the group judgments; Step 5: Investigation of consistency estimation shows that the consistency of the judgment matrix is accepted. We believe that the weighted indicators in this paper will provide important references to building energy efficiency assessment.

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This paper examines the extent to which the valuation of partial interests in private property vehicles should be closely aligned to the valuation of the underlying assets. A sample of vehicle managers and investors replied to a questionnaire on the qualities of private property vehicles relative to direct property investment. Applying the Analytic Hierarchy Process (AHP) technique the relative importance of the various advantages and disadvantages of investment in private property vehicles relative to acquisition of the underlying assets are assessed. The results suggest that the main drivers of the growth of the this sector have been the ability for certain categories of investor to acquire interests in assets that are normally inaccessible due to the amount of specific risk. Additionally, investors have been attracted by the ability to ‘outsource’ asset management in a manner that minimises perceived agency problems. It is concluded that deviations from NAV should be expected given that investment in private property vehicles differs from investment in the underlying assets in terms of liquidity, management structures, lot size, financial structure inter alia. However, reliably appraising the pricing implications of these variations is likely to be extremely difficult due to the lack of secondary market trading and vehicle heterogeneity.

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The adaptive thermal comfort theory considers people as active rather than passive recipients in response to ambient physical thermal stimuli, in contrast with conventional, heat-balance-based, thermal comfort theory. Occupants actively interact with the environments they occupy by means of utilizing adaptations in terms of physiological, behavioural and psychological dimensions to achieve ‘real world’ thermal comfort. This paper introduces a method of quantifying the physiological, behavioural and psychological portions of the adaptation process by using the analytic hierarchy process (AHP) based on the case studies conducted in the UK and China. Apart from three categories of adaptations which are viewed as criteria, six possible alternatives are considered: physiological indices/health status, the indoor environment, the outdoor environment, personal physical factors, environmental control and thermal expectation. With the AHP technique, all the above-mentioned criteria, factors and corresponding elements are arranged in a hierarchy tree and quantified by using a series of pair-wise judgements. A sensitivity analysis is carried out to improve the quality of these results. The proposed quantitative weighting method provides researchers with opportunities to better understand the adaptive mechanisms and reveal the significance of each category for the achievement of adaptive thermal comfort.

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A justificativa de investimentos em Tecnologia da Informação (TI) é um processo de decisão estratégico. Contudo, muitos tomadores de decisão, dada a complexidade dos problemas, acabam por reduzi-lo a um único critério, normalmente monetário, ou a utilizar critérios mais facilmente mensuráveis, em detrimento daqueles relacionados a possíveis benefícios estratégicos ligados à TI. Esse fato pode ser associado à falta de instrumentos de apoio à decisão com habilidade de capturar todos os múltiplos aspectos envolvidos na justificativa de investimentos em TI. A Pesquisa Operacional pode auxiliar esse processo através do desenvolvimento de modelos multicriteriais, visando contemplar, conjuntamente, os aspectos tangíveis e intangíveis normalmente associados a esse tipo de investimento. Nesse sentido, este trabalho apresenta o desenvolvimento de um modelo de decisão multicriterial para a justificativa de investimentos em TI. A implementação do modelo foi realizada utilizando-se o método AHP (do inglês, “Analytic Hierarchy Process”), através do software Expert Choiceâ. O modelo foi validado através da sua submissão a vinte especialistas da área e através da sua aplicação em problemas de decisão. Os resultados obtidos na validação comprovam a generalidade e o potencial do modelo como ferramenta de decisão para o processo de justificativa de investimentos em TI.

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Uma das formas de acesso à inovação tecnológica é a pesquisa e desenvolvimento (P&D) de novos produtos. Entre projetos de P&D propostos, a empresa precisa selecionar aqueles em que vai realizar investimentos. Esta dissertação é do tipo "proposta de planos ou programas", e analisa a seleção de projetos de P&D. Muitos gerentes de P&D não acreditam que os métodos disponíveis para seleção de projetos melhorem a qualidade das suas decisões. Algumas das fraquezas identificadas em métodos de seleção de projetos são o tratamento inadequado de múltiplos critérios, às vezes interdependentes, o tratamento inadequado do risco e da incerteza, a dificuldade em reconhecer e tratar aspectos não-monetários, e a percepção pelos gerentes de P&D que os modelos são desnecessariamente difíceis de entender e utilizar. O objetivo deste estudo é analisar os benefícios proporcionados pela utilização da teoria de opções reais, do alinhamento dos projetos de P&D à estratégia da empresa e do método de apoio à decisão Analytic Hierarchy Process (AHP) para o processo de seleção de projetos de P&D em empresas do setor elétrico brasileiro, e em especial será analisado o caso da Eletrosul. A teoria de opções reais e o alinhamento com a estratégia da empresa proporcionam uma considerável ampliação da visão gerencial necessária para decidir quais projetos devem ser executados. A análise dos projetos à luz da estratégia da empresa facilita a efetiva implantação dela, conduz a uma reflexão sobre a estratégia e possibilita que universidades e centros de pesquisa alinhem suas propostas a ela. O método AHP mostrou-se adequado para apoiar o processo de seleção de projetos de P&D, subdividindo uma decisão complexa em comparações duas a duas e a seguir sintetizando-as para chegar a um resultado sobre a decisão complexa. A facilidade de compreensão e a transparência do funcionamento são pontos fortes do método AHP.

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Nos dias de hoje existe uma grande demanda e pressão na seleção e definição de prioridades das alternativas de investimento para alavancar o crescimento de longo prazo das empresas. Em paralelo a este cenário, o ambiente global está cada vez mais incerto, o que implica que as escolhas realizadas por estas empresas devem se adaptar aos novos desejos do mercado e, principalmente, devem manter o direcionamento de crescimento almejado pelas mesmas. Neste contexto conturbado, as ferramentas tradicionais utilizadas para a tomada de decisão, para selecionar e definir as prioridades são as análises econômico-financeira representadas pelo Valor Presente Líquido, a Taxa Interna de Retorno e o Payback. Apesar de estes itens serem métodos robustos e consistentes na avaliação de projetos de investimentos, eles focam apenas em um aspecto (o financeiro), e as empresas, atualmente, estão envolvidas em ambientes que precisam de uma abordagem mais ampla, contemplando outras visões e dimensões não presentes nos estudos financeiros. Ou seja, quando se faz uma análise de carteira de projetos alinhada ao planejamento estratégico, é necessário realizar uma abordagem multicritério envolvendo indicadores quantitativos e qualitativos e disponibilizando aos tomadores de decisão uma informação completa e padronizada de todos os projetos, uma vez que estas iniciativas não possuem características homogêneas, pois cada uma apresenta sua respectiva particularidade e, principalmente, está em diferentes estágios de maturidade. Aliado a estes pontos, é perceptível que o processo de seleção e priorização de projetos necessita de uma sistematização que garanta a esta decisão e a este Portfólio uma maior estabilidade e fidedignidade das informações. Neste trabalho, portanto, foi elaborada uma análise multivariada, mais especificamente, a utilização de sistemas de apoio à tomada de decisão. Foram escolhidos outros critérios além do econômico-financeiro, para suportar a seleção e priorização de projetos no atendimento dos objetivos estratégicos da organização e de seus stakeholders.

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The objective of this dissertation is to propose a Multi Criteria Decision Aid Model to be used by the costumers of the travel agencies and help them to choose the best package travel. The main objective is to contribute for the simplification of the travel package decision choice from the identification of the models of values and preference of the customers and applying them to the existing package. It is used the Analytic Hierarchy Process (AHP) method to structuralize a decision hierarchic model composed by six criteria (package cost, hotel category, security of the city, travel time, direct flight and position in ranking of the 10 most visited destination) and five real alternatives of packages for a holiday of three days created from travel agency data. The decision analysis was realized for the choice of a travel package by a group composed by two couples that regularly travels together, to which was asked to do a pairwise judgment of the criteria and the alternatives. The mains results show that, although been a group that travels together, there are different models of values in the weights of the criteria and a certain convergence in the scales of preferences of the alternatives in the criteria. It was not pointed a dominant alternative for all the members of the group separately, but an analysis of a total utility of the group shows a classification and an order of the travel packages and an alternative clearly in front of the others. The sensitivity analysis revels that there are changes in the ranking, but the two alternatives best classified in the normal analysis are the same ones in the sensitivity analysis, although with the positions changed. The analysis also led to a simplification of the process with the exclusion of alternatives dominated for the others ones. As main conclusion, it is evaluated that the model and method suggested allow a simplification of the decision process in the choice of travel packages

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The main goal of this dissertation is to develop a Multi Criteria Decision Aid Model to be used in Oils and Gas perforation rigs contracts choices. The developed model should permit the utilization of multiples criterions, covering problems that exist with models that mainly use the price of the contracts as its decision criterion. The AHP has been chosen because its large utilization, not only academic, but in many other areas, its simplicity of use and flexibility, and also fill all the requirements necessary to complete the task. The development of the model was conducted by interviews and surveys with one specialist in this specific area, who also acts as the main actor on the decision process. The final model consists in six criterions: Costs, mobility, automation, technical support, how fast the service could be concluded and availability to start the operations. Three rigs were chosen as possible solutions for the problem. The results reached by the utilizations of the model suggests that the utilization of AHP as a decision support system in this kind of situation is possible, allowing a simplifications of the problem, and also it s a useful tool to improve every one involved on the process s knowledge about the problem subject, and its possible solutions

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Outsourcing is related to the action which an organization deals with its suppliers through a kind of business contract where a specific activity or service has been hired to be made. The outsourcing of some activities has become a common practice in the industry, nowadays. It reduces costs, significantly, in the production process and, at the same time, adds some values to the business organization. However it is necessary to measure the performance of these activities. Data Envelopment Analysis (DEA) is a non-parametric method useful to measure comparative performance. It has a wide range of applications measuring comparative efficiency. The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method that uses hierarchic structures to represent a decision problem and then develops priorities for the alternatives based on the decision-maker's judgments. This paper presents an integrated application based on DEA and AHP to evaluate the efficiency of subcontracted companies in a Brazilian aerospace factory. © 2007 Springer-Verlag London Limited.

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A Digital Factory is a concept which improves the collaboration among product development processes. Despite the benefits brought by this concept, failures may occur in its implementation. This paper aims to present the Critical Success Factors in the implementation of a Digital Factory project in a Brazilian company. These factors were identified by an exploratory survey on the implementation of Enterprise Resource Planning and Product Lifecycle Management among other systems. Following this identification, the factors were prioritized using the Delphi Method and the Analytic Hierarchy Process; this evaluation was carried out by professionals from enterprises which implement Digital Factory projects, in Brazil and abroad. Nine factors were identified. The five main priorities were: Continuous Support and Commitment from Top Management; Comprehensive Business Reengineering; Skilled and Experienced Partners; Participation and Commitment of Users; and Appropriate Role of the Project Manager.

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This paper aimed to analyse supply chain risk factors in aerospace industry. It was conducted an exploratory research at an important Brazilian aerospace company. This company has a major role at the global aerospace industry. Senior managers assessed risk factors such as quality, productivity, supply chain, business strategy, organisation, environmental and natural political, indicators, product management, and information system. Analytic hierarchy process was applied to prioritise these factors. The most relevant were quality and productivity. Copyright © 2011 Inderscience Enterprises Ltd.