4 resultados para Multi-criteria decision analysis (MCDA)

em Repositório Institucional da Universidade Estadual de São Paulo - UNESP


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Pós-graduação em Engenharia de Produção - 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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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA