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Today, more and more companies undertak a search for unbridled productive efficiency in its operations being that, this efficiency will be vital to the survival of these companies in an increasingly competitive market. With this, made it necessary to the development of techniques that help in the analysis and evaluation of the productive efficiency of firms. These techniques, known generally how techniques of the productive efficiency's analysis, are divided into two categories: (a) the parametric (which build a function) and (b) the non-parametric (which perform calculations empirical through a border of efficiency) being that, among the non-parametric techniques for the analysis of efficiency, we can cite the Data Envelopment Analysis (DEA) and the technique of Index Numbers. The main objective of this work is to identify the main non-parametric techniques of productive efficiency´s analysis existing in the literature and discover its main dimensions, models, equations, perspectives and updates, and then compare them, seeing in which situations each technique responds better. For this, a review was undertaken of the main concepts related to these techniques and built a system specialist that systematize the process of choosing among the various techniques, models and prospective of productive efficiency's analysis found. With this work expect itself to get a compilation of the main techniques nonparametric of analysis of efficiency that existing in the literature, which can help managers and academics who will come to study or perhaps refine these techniques.

The concept of sustainable production used in Camioto et al. (2014) evaluates the efficiency of Brazil's industrial sectors from 1996 to 2009, taking into account energy consumption and respective contributions to the country's economic and social aspects. In this article, a replication of the performance of these sectors is conducted (Textile, Foods and Beverages, Chemical, Mining, Paper and Pulp, Nonmetallic and Metallurgical), from 1996 to 2010, with an in-depth analysis regarding the slacks between the current and the target performance in each variable relating to the sustainability analyzed. To determine these slacks, the SBM model of the Data Envelopment Analysis (DEA) method was used with the window analysis. The variables analyzed were energy consumption and fossil-fuel carbon emissions (inputs) and the Gross Domestic Product (GDP) per sectors, the persons employed and personnel expenses (outputs). The results showed that the variables which need the most changes to improve performance in all the sectors are the variables 'persons employed', followed by 'fossil-fuel carbon emissions', 'Personnel expenses', 'Energy consumption' and 'GDP by sector'. It is expected that this study may provide a basis for future research and strategies to be implemented in other countries in order to guide the implementation of a more sustainable industrial policy.

MARIANO, E. B. Economic growth and human development: a global analysis of social efficiency of Nation-states. São Carlos, 2012. Thesis (Ph.D.

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