Análise de conglomerados em curvas de aprendizado para formação de agrupamentos homogêneos de trabalhadores
Cluster analysis of learning curves for grouping workers with homogeneous learning profiles
Stroieke, Renato Eduardo; Fogliatto, Flavio Sanson; Anzanello, Michel José
http://dx.doi.org/10.1590/S0103-65132012005000084
Prod, vol.23, n3, p.537-547, 2013
Resumo
Em diversos setores da indústria é desejado que trabalhadores reunidos em uma estação de trabalho apresentem perfil de aprendizado similar. O presente artigo apresenta um método de agrupamento de trabalhadores utilizando modelagem por curva de aprendizado e técnicas de clusterização. O método modela dados de desempenho de trabalhadores por intermédio de diversos modelos de curvas de aprendizado; os parâmetros de aprendizado dos modelos testados permitem predizer o desempenho dos trabalhadores em intervalos de tempo pré-determinados. Os valores preditos são agrupados através de ferramentas de clusterização. O maior índice de ajuste (IA), gerado a partir do Silhouette Index e do coeficiente de determinação, indica o modelo de curva mais consistente em termos de aderência aos dados e qualidade de agrupamento de perfis de aprendizado. Ao ser aplicado em dados de uma indústria de calçados, o método gerou agrupamentos consistentes de trabalhadores com base nos distintos perfis de aprendizado.
Palavras-chave
Curvas de aprendizado. Clusterização. Agrupamento de trabalhadores
Abstract
In many industrial segments, it is desirable to allocate workers with similar learning profiles in the same workstation. This paper presents a method that groups workers based on learning curve modeling and clustering techniques. Workers’ performance data are modeled through several learning curve models; learning parameters allow for workers’ performance prediction at intervals of predetermined time. The predicted values are then grouped by clustering techniques. The largest Adjustment Index (AI), derived from the Silhouette Index and Coefficient of Determination, indicates the model yielding superior adherence to data and better clustering of learning profiles. When applied to a shoe manufacturing process, the method generated consistent groups of workers based on their learning profiles.
Keywords
Learning curves. Clustering. Groups of workers
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