110 resultados para AHP - Analytic Hierarchy Proces
em Reposit
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Municipal Plans of Risk Reducing (PMRR's) were produced in settlements in the municipalities of Itapecerica da Serra (SP) and Suzano (SP), covering areas at risk of landslides and washouts of banks of streams. The development of PMRR's provided the delimitation of areas of risk, the indication of intervention works in order to eliminate and / or reduce risks, and consequently an indication of the areas and priority sectors for implementation of intervention works. The prioritization of areas and sectors that should receive the works of reducing or eliminating risk was performed by an expert involved in risk mapping. Despite the specialist's judgment exercise caution, the decision regarding the priority sites for implementation of alternative interventions is subjective. Since there is no way to eliminate this subjectivity, the use of decision-making techniques is important to evaluate whether the expert's reasoning is consistent. One of the first techniques developed for multiple criteria is the AHP (Analytic Hierarchy Process). This paper describes the results of a research carried out in order to assess whether the use of Analytic Hierarchy Process contributes to the results of the indication of the areas and priority sectors for implementation of interventions can be considered more consistent than in situations where the priority occurs without the use of decision making techniques. Results were compared between the prioritization of interventions for implementation contained in PMRR's of Itapecerica da Serra and Suzano and those obtained from the use of Analytic Hierarchy Process (AHP). It was concluded that such techniques permits an evaluation of the expert's judgment is logically coherent, thus contributing to produce results more technically based.
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico (CNPq)
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Este trabalho apresenta uma investigao sobre o emprego de FMEA (Failure Mode and Effect Analysis) de Processo com a exposio de irregularidades na sua utilizao. O mtodo AHP (Analytic Hierarchy Process) e os Conjuntos Fuzzy so aplicados no estudo das prticas atuais de utilizao de FMEA. O AHP aplicado para a priorizao das irregularidades quanto gravidade de sua ocorrncia. Os Conjuntos Fuzzy so aplicados para avaliao do desempenho da utilizao de FMEA em algumas empresas do ramo automotivo. Como resultado, tem-se a aceitao de oito e a no aceitao de trs dos onze formulrios de FMEA averiguados.
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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.
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Ps-graduao em Geocincias e Meio Ambiente - IGCE
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Coordenao de Aperfeioamento de Pessoal de Nvel Superior (CAPES)
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Ps-graduao em Geografia - FCT
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Ps-graduao em Engenharia Mecnica - FEG
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The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated
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This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow
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Reverse Logistics activities are practiced by most Brazilian companies. However, a relevant problem is to identify how different Reverse Logistics programs can affect corporate performance indicators. Analytic Network Process is one of the analytical tools, which can be used to handle a multi-criteria decision-making problem and it is the only one that can capture the interdependencies between the criteria under consideration. This method was adopted here to study the influence of Reverse Logistics practices in corporate performance. Preliminary results indicated that the method can be used, reaching a result compatible to the reality of the Brazilian companies.