The productivity evaluation of commercial units belonging to a single group, such as the branches of a bank or the units of a franchising network, done through Data Envelopment Analysis (DEA), yields efficiency values for each of the units, called DMU's (Decision Making Units). However, this efficiency is relative, for its value depends on how the other DMU's behaved. Since the analysis is done after production, it is not possible to know how much one unit should have produced to be classified as efficient. This work suggests a method for estimating goals of production for each DMU to be considered efficient independently from the rest of the group, from the idealization of an efficiency frontier.
Key wordsOperations research, evaluation, DEA, efficiency, goals.
ERNÉE KOZYREFF FILHOEngenheiro de Produção -Pilkington E-mail: firstname.lastname@example.org
ARMANDO ZEFERINO MILIONIProfessor Adjunto do Instituto Tecnológico de Aeronáutica E-mail: email@example.com
ResumoA avaliação da produtividade de unidades comerciais pertencentes a um mesmo grupo, como as agências de um banco ou as unidades de uma rede de franquia, feita através de Análise de Envoltória de Dados (DEA, da sigla em inglês Data Envelopment Analysis), fornece valores de eficiência de cada uma destas unidades. Esta eficiência, no entanto, é relativa, pois seu valor depende de como as outras unidades se comportam. Como a análise é feita pós-produção, fica impossível saber quanto determinada unidade deveria ter produzido para ser classificada como eficiente. Este trabalho sugere um método de se estimar metas de produção para que cada unidade possa ser considerada eficiente independentemente do resto do grupo, a partir da idealização de uma fronteira de eficiência.
Palavras-chavePesquisa operacional, avaliação, DEA, eficiência, metas.Um método para estimativa de metas DEA
This study, carried out in a sugarcane mill located in the center-west region of São Paulo state, Brazil, aimed to evaluate the association of sucrose amount (POL%) with sugarcane varieties and cutting stages using mechanized harvesting. A two-way analysis of variance (ANOVA), complemented by multiple comparison tests, was used in order to identify the effects of variety types and cutting stages on the sugarcane POL% content. An interaction between the sugarcane variety and the cutting stage was observed; therefore, both two factors cannot be independently evaluated regarding POL%. In addition, it was found that the sucrose amount from the plant production in the evaluated period presented significant differences between the cutting stages only for one variety, namely CTC2, which was different from the others in most of the cutting stages. Considering the observed results, it can be concluded that analyzing sucrose amount statistically in the mill production can allow producers to posteriorly better monitor information on the sugarcane varieties harvested under mechanized processes.
Sugarcane crops have undergone several changes with the intensification of agricultural machinery in Brazil in the last years. This occurs, mainly, due to the transfer of the semi-mechanized system to the mechanized one during harvest operations. Thus, studies are needed on the optimization of sugarcane production in relation to mechanized processes, since it is necessary to verify the adaptability of sugarcane varieties to the mechanization of the plantation. This study aimed to develop and apply a mathematical model of optimization to select sugarcane varieties that maximize production and meet the quality standards required by the industry for sugar and fiber contents. The data were collected in a sugarcane mill located in the interior of Sã o Paulo state. The result obtained by the optimization process evinced an increase of 16.65% when compared to the productivity of the initial scenario.
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