Estado da arte das aplicações de curvas de aprendizado

Stroieke, Renato Eduardo; Fogliatto, Flávio Sanson; Anzanello, Michel J.

doi:10.1590/s0104-530x2013000300013

Cited by 3 publications

(2 citation statements)

References 94 publications

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“…The line is operated by the same staff since 2008, in contrast to C1 and C2 lines, where many employees changed sector or were dismissed. This distinction may have contributed to increased efficiency over time, considering the possibility of efficiency improvement by learning (Stroieke et al, 2013).…”

Section: Efficiency Analysis Of Production Linesmentioning

confidence: 99%

Efficiency and internal benchmark on an armament company

Souza

Lacerda

Camargo

et al. 2018

BIJ

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Purpose The purpose of this paper is to analyze the productive efficiency and the best operational practices in an armaments manufacturer. Design/methodology/approach A longitudinal case study is performed using data envelopment analysis (DEA). Using DEA, an assessment of six years in the company manufacturing process is conducted. The research aims at developing an internal benchmark on three production lines of the company. Findings The results show that only one of the three analyzed production lines increased efficiency over time. With this result, the most efficient production line may be used as a reference in relation to the best operational practices of the company. Moreover, it was found that the current indicators to evaluate efficiency are insufficient and may lead to wrong management decisions. Practical implications This research could allow a larger understanding of the factors that really contribute to increased operational efficiency. This is due to internal benchmark assist in the identification of the best practices. The identification of best practices can contribute to enhance the efficiency of inefficient operations without the need for external comparisons. Originality/value DEA contributes due to its robustness, for the evaluation of productive efficiency. One of the contributions of this study is to identify opportunities for improvement in key components of the operation through targets, internal benchmarking and robust assessment of productive efficiency.

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Section: Efficiency Analysis Of Production Linesmentioning

confidence: 99%

Efficiency and internal benchmark on an armament company

Souza

Lacerda

Camargo

et al. 2018

BIJ

View full text Add to dashboard Cite

show abstract

“…Learning is useful to minimise costs of a new product insertion into the production process. Thus, a part of the research involving learning curves aims at optimising the performance of processes, improvement of the use of resources and reduction of processing costs (Stroieke et al, 2013). Studies (Levy, 1965; Li and Rajagopalan, 1997; Terwiesch and Bohn, 2001) revealed that the experience gained over time enables a company to produce more units in a particular time interval with reduced production costs.…”

Section: Introductionmentioning

confidence: 99%

Do the improvement programs really matter? An analysis using data envelopment analysis

Souza

Lacerda

Camargo

et al. 2018

BRQ Business Research Quarterly

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This research aims at analyzing the impact of continuous improvement and learning processes regarding efficiency and production volume in an armament manufacturer. A longitudinal case study comprising a period of six years of analysis in the company production lines was carried out. Data Envelopment Analysis (DEA) combined ANOVA test and linear regression were used. The survey results show that continuous improvement and learning projects were not enough to increase efficiency in two of the three production lines analyzed. Therefore, the variables related to Kaizen events, hours of training and experience of employees did not increase the efficiency of these lines. Moreover, the study elucidates that the production volume negatively impacts efficiency in one of the lines. With the analysis, it is possible to identify which factors are representative to increase production efficiency. Therefore, it is concluded that technology upgrade, in this context, is an important factor to be considered. The research contributed to analyse the relevance of continuous improvement actions, accumulation of knowledge and learning in an armament manufacturer. In addition, it allows managers of companies to evaluate more effectively the production process and technological evolution with a greater understanding of factors that impact on increased operational efficiency.

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Agrupamento de trabalhadores com perfis semelhantes de aprendizado apoiado em Análise de Componentes Principais

Azevedo

Anzanello

2015

Gest. Prod.

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A manufatura de produtos personalizados em larga escala, chamada customização em massa, implica o aumento da variedade de modelos e redução no tamanho dos lotes de produção. Tarefas que dependem da habilidade humana são especialmente afetadas nesse contexto, visto que os trabalhadores precisam se adaptar às características do novo modelo. Esse processo de adaptação pode ocorrer de forma distinta dentro do grupo de trabalhadores, justificando o desenvolvimento de sistemáticas com vistas ao agrupamento de indivíduos com características de aprendizado semelhantes. Este artigo propõe um método para formação de grupos homogêneos de trabalhadores de acordo com seus perfis de aprendizado pela integração de curvas de aprendizado e clusterização. Para tanto, dados de desempenho são coletados e modelados por meio de curvas de aprendizado; os parâmetros oriundos da modelagem quantificam o processo de adaptação dos trabalhadores às tarefas, servindo de base para o agrupamento dos trabalhadores. Na primeira proposição deste artigo, os dados originais (parâmetros) são clusterizados pelo método K-Means, e a qualidade do agrupamento formado, avaliada por intermédio do Silhouette Index (SI). Em uma proposição alternativa, a Análise de Componentes Principais (ACP) é aplicada sobre os dados originais e as variáveis latentes geradas (escores) são clusterizados por meio do K-Means. Quando aplicado em um processo da indústria calçadista, a clusterização apoiada nos escores apresentou um incremento na qualidade dos agrupamentos medida por SI de 147% (de SI=0,392 para SI=0,968) quando comparado à clusterização aplicada às variáveis originais. Os dois grupos de trabalhadores gerados pelo método foram corroborados com base na separação em um gráfico relacionando os componentes principais obtidos. Por fim, um estudo de simulação foi realizado para corroborar a eficácia do método proposto, o qual se mostrou robusto quando submetido a diferentes níveis de ruído, correlação e proporções de variáveis e observações. Por meio da análise de variâncias (ANOVA), verificou-se que os fatores variância do ruído e proporção de observações por variáveis interferiram significativamente na qualidade da clusterização; por sua vez, a correlação entre as variáveis não apresentou variância significativa nos agrupamentos.

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Estado da arte das aplicações de curvas de aprendizado

Cited by 3 publications

References 94 publications

Efficiency and internal benchmark on an armament company

Efficiency and internal benchmark on an armament company

Do the improvement programs really matter? An analysis using data envelopment analysis

Agrupamento de trabalhadores com perfis semelhantes de aprendizado apoiado em Análise de Componentes Principais

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