AHP: Ferramenta Multicritério para Tomada de Decisão - Shopping Centers

Oliveira, Victor Hugo Mazon de; Martins, Carlos Humberto

doi:10.18366/vhmo.1606.2017

Cited by 2 publications

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“…Se a consistência tiver de ser forçada para obter valores numéricos n, somente para completar a matriz. Fonte: Oliveira et al, 2015. Estruturada a hierarquia, foi construída uma matriz quadrada de comparação binária a fim de verificar o impacto de cada elemento sobre cada critério do nível superior. O elemento mais importante da matriz é escalonado na escala 1-9 e por consequência, ao menos importante correspondente, é atribuído o valor recíproco.…”

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Determinação de regiões para instalação de Usinas flex

Andressa de Oliveira

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The Ethanol was introduced in Brazilian market as an alternative fuel and emerged as an economic strategy to settle down the crisis in sugar market and control the rise in the gas prices, thus reducing the dependence on oil. The development of new varieties of sugar canes that adapts to different climates and regions allows to keep the plants in operation throughout the harvests, that normally takes up to eight months periods. During the off season, however, the plants remain idle, which generates a mismatch between supply and demand in production cycles due the absence of biomass to be processed. In order to solve this mismatch, increase energetic security and ensure supply in critical periods, studies carried out, propose adapting Brazilian plants to flex model, enabling the production of ethanol from different biomass sources, with corn as an alternative with a great potential. Since only 4.5% of the plants in São Paulo and Mato Grosso states are flex model, defining strategically the locations of new flex plants from factors that influence decision-making is critical for optimizing ethanol production during harvest and off season of sugar canes. In this context, the goal of this study was verifying if there are more suitable regions for building flex plants. Therefore, was used the Analytic Hierarchy Process AHP by a set of geoprocessing techniques considering qualitative and quantitative factors. As result we obtained 2 major areas with capacities to attend efficiently those supply demands for products and feedstock. And only 0.33% of these areas strands for regions with 90% or more suitability.

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“…O elemento mais importante da matriz é escalonado na escala 1-9 e por consequência, ao menos importante correspondente, é atribuído o valor recíproco. A diagonal principal possui valores unitários visto que um elemento é igualmente importante a ele mesmo (OLIVEIRA et al, 2015). Para uma matriz de ordem n, o número de julgamentos…”

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Determinação de regiões para instalação de Usinas flex

Andressa de Oliveira

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Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality

Neves

Rangel

Neto³

et al. 2022

Multi Criteria Decision Anal

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This work describes the process of building two indicators in order to measure the efficiency of the Food Acquisition Program -Milk modality (PAA-Milk) in the States which implement it. The Analytic Hierarchy Process (AHP) methodology was used to develop the first indicator, while the Principal Component Analysis was used as a tool for cutting and simplifying the structure of the first indicator to obtain the second indicator. The results demonstrate the great potential of the AHP tool together with the statistical tools to develop indicators to diagnose and monitor public policies in Brazil. The states of Alagoas, Paraíba, and Ceará presented the best efficiency in the performance of the Program, while Bahia and Pernambuco presented the worst results.

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AHP: Ferramenta Multicritério para Tomada de Decisão - Shopping Centers

Cited by 2 publications

References 0 publications

Determinação de regiões para instalação de Usinas flex

Determinação de regiões para instalação de Usinas flex

Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality

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