Este trabalho apresenta e exemplifica a aplicação de metodologia que apoia a seleção e a priorização de um conjunto de dados bibliográficos que represente o estado da arte do assunto pesquisado. O processo envolve a formação de uma base de dados preliminar bruta, seguida da aplicação de uma série de etapas de filtro para a formação de uma base de dados convergente com os objetivos da pesquisa e termina com a priorização desses dados através de um método de apoio à decisão (MAD). O método adotado para exemplificar a aplicação da metodologia foi a Composição Probabilística de Preferências (CPP). A metodologia foi aplicada com sucesso à seleção de artigos em diferentes contextos.

Brazil has an increasing rate of e-waste generation, but there are currently few adequate management systems in operation, with the largest share of Waste Electrical and Electronic Equipment (WEEE) going to landfill sites or entering informal chains. The National Solid Waste Policy (2010) enforces the implementation of reverse logistics systems under the shared responsibility of consumers, companies and governments. The objective of this paper is to assess sustainability and prioritise system alternatives for potential implementation in the metropolitan region of Rio de Janeiro. Sustainability criteria and decision alternatives were defined by elicitation of stakeholders. The adopted multicriteria approach combines Life Cycle Assessment with qualitative evaluations by a small sample of regional experts with knowledge of the problem. The recommended system consists of a hybrid WEEE collection scheme with delivery points at shops, metro stations and neighbourhood centres; a pre-treatment phase with the involvement of private companies, cooperatives and social enterprises; and full recycling of all components in the country.

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Probabilities and odds, derived from vectors of ranks, are here compared as measures of efficiency of decision-making units (DMUs). These measures are computed with the goal of providing preliminary information before starting a Data Envelopment Analysis (DEA) or the application of any other evaluation or composition of preferences methodology. Preferences, quality and productivity evaluations are usually measured with errors or subject to influence of other random disturbances. Reducing evaluations to ranks and treating the ranks as estimates of location parameters of random variables, we are able to compute the probability of each DMU being classified as the best according to the consumption of each input and the production of each output. Employing the probabilities of being the best as efficiency measures, we stretch distances between the most efficient units. We combine these partial probabilities in a global efficiency score determined in terms of proximity to the efficiency frontier.Keywords: decision aid, randomized ranks, data envelopment analysis. ResumoProbabilidades e chances relativas são aqui comparadas como medidas de eficiência de unidades tomadoras de decisão (DMUs). Avaliações de preferência, qualidade e produtividade costumam ser medidas com erros e estar sujeitas à influência de outras perturbações aleatórias. Reduzir as avaliações iniciais a postos e tratar estes como estimativas de parâmetros de locação de variáveis aleatórias permite calcular as probabilidades e chances relativas de cada opção ser classificada como a de maior preferência. Esta transformação amplia as distâncias entre as DMUs mais eficientes. As probabilidades e as razões de chances relativas delas derivadas podem ser combinadas em termos de proximidade à fronteira de excelência. Aqui se apresenta evidência de que os escores de eficiência derivados das probabilidades e chances relativas são mais correlacionados com as medidas que combinam que os escores derivados dos postos ou das razões de produtividade.

ResumoModelos para a formação das preferências combinando preferências estabelecidas através da ordenação das opções possíveis segundo fatores isolados são aqui desenvolvidos. É, também, proposta uma sistemática de aleatorização dos postos para permitir o cálculo da probabilidade de cada opção ocupar o primeiro posto. Aplicando esta sistemática a apostas em corridas de cavalos, verifica-se que a medida da preferência pela chance relativa de a opção ocupar o primeiro posto segundo um critério qualquer, ou segundo uma combinação dos critérios, é mais correlacionada com a medida de preferência dada pela distribuição final das apostas que a medida dada diretamente pelo vetor de postos. A transformação dos postos em chances relativas permite detectar a alta correlação com as apostas de uma medida de preferência agregada que envolve a projeção sobre uma opção selecionada como a de maior preferência segundo critério dominante.Palavras-chave: postos aleatórios, modelagem de preferências, auxílio à decisão. AbstractModels for preferences, established through the ranking of the options according to isolated factors, are developed here. Randomization of ranks allows us to compute the probability of each option be raised to the position of best choice. It is verified that, in horses races, measures of preference built through odds of the options to hold the first position according to some criterion or to a combination of criteria are more correlated with the measure of preference given by the final betting distribution than those given directly by the ranks.

Alternative indicators to the Human Development Index adopting the same components but using other forms of combination are discussed here. The basic idea is to transform the initial measurements into probabilities of achieving the worst performance. Joint probabilities are compared to the proximity to the frontier generated by the algorithm of Data Envelopment Analysis with constant returns to scale and constant inputs to scores applying the Choquet integral with respect to capacities that take into account the substitutability between the components of the index. A high correlation between the results of different forms of composition was found, demonstrating the robustness of the Human Development Index. On the other hand, advantages of different alternatives of composition could be noticed.

ABSTRACT.The main purpose of the present work is to present an application of the probabilistic preferences composition method to the vendor and carrier selection process in the construction sector of the Southern Region of Rio de Janeiro state, in Brazil. The traditional measures associated with vendor and carrier evaluation are considered in the model and are combined through a preferences composition, which considers the options' uncertainties. In the application, we considered three different suppliers of sand for construction and three different logistics providers, two of them outsourced. Our intention was to verify if outsourcing can be considered a better solution, as proposed by many authors. The results show that outsourcing is the best option for different probabilistic composition points of view as well as when the overall evaluation is obtained by average composition.

Though its origins can be traced back to 1977, the development and application of the metaheuristic Scatter Search (SS) has stayed dormant for 20 years. However, in the last 10 years, research interest has positioned SS as one of the recognizable methodologies within the umbrella of evolutionary search. This paper presents an application of SS to the problem of routing vehicles that are required both to deliver and pickup goods (VRPSDP). This specialized version of the vehicle routing problem is particularly relevant to organizations that are concerned with sustainable and environmentally-friendly business practices. In this work, the efficiency of SS is evaluated when applied to this problem. Computational results of the application to instances in the literature are presented.