Proposal of stages by controlling the efficiency analysis in sugar and ethanol mills
Autor: | Marco Antonio Alves de Souza Junior, Ricardo Donegá, Stella Vannucci Lemos, Alexandre Freitas Duarte, Alexandre Pereira Salgado Junior |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Truncated regression model
020209 energy lcsh:TX341-641 02 engineering and technology TECNOLOGIA 01 natural sciences 010104 statistics & probability chemistry.chemical_compound Data Envelopment Analysis (DEA) lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering Statistical analysis Ethanol fuel 0101 mathematics Sugar Mathematics sugar and ethanol mills Ethanol Pulp and paper industry chemistry lcsh:T1-995 lcsh:Nutrition. Foods and food supply Food Science Biotechnology Overall efficiency energy |
Zdroj: | Food Science and Technology, Iss 0 (2018) Food Science and Technology v.38 suppl.1 2018 Food Science and Technology (Campinas) Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA) instacron:SBCTA Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
Popis: | This study aimed to identify the main points of control in the efficiency of the productive process in sugarcane mills. Thus, a two-stage DEA approach applied for a sample of 121 mills, distributed among the seasons of 2010/2011 until 2014/2015. The first stage separated the efficient mills in transforming the total recovered sugar (TRS) of the processed sugarcane into sugar and ethanol, and the second stage identified significant production process variables in the efficiency with truncated regression. Besides, with the help of industry experts and statistical analysis, established 13 variables, which could control and increase the efficiency of the sugar and ethanol production processes, contributing to the overall efficiency of sugar and ethanol units. |
Databáze: | OpenAIRE |
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