Avaliação de economias de escala e escopo no desempenho de equipes de serviços aplicando Análise de Envoltória de Dados DEA: um estudo em Empresa de Telecomunicações no Brasil

• Ano de defesa: 2008
• Autor(a) principal: Cunha, Katia Ellaine Barros
• Orientador(a): Ramos, Rubens Eugênio Barreto
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção
• Departamento: Estratégia; Qualidade; Gestão Ambiental; Gestão da Produção e Operações
• País: BR
• Palavras-chave em Português: Serviços de telecomunicações; Economia de escala; Fronteira de Eficiência; Análise de Envoltória de Dados
• Palavras-chave em Inglês: Telecommunication services; Economy of scale; Production frontier; Data Envelopment Analysis
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/14881

This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate economies of scale and economies of scope in the performance of service teams involved with installation of data communication circuits, based on the study of a major telecommunication company in Brazil. Data was collected from the company s Operational Performance Division. Initial analysis of a data set, including nineteen installation teams, was performed considering input oriented methods. Subsequently, the need for restrictions on weights is analyzed using the Assurance Region method, checking for the existence of zero-valued weights. The resulting returns to scale are then verified. Further analyses using the Assurance Region Constant (AR-I-C) and Variable (AR-I-V) models verify the existence of variable, rather than constant, returns to scale. Therefore, all of the final comparisons use scores obtained through the AR-I-V model. In sequence, we verify if the system has economies of scope by analyzing the behavior of the scores in terms of individual or multiple outputs. Finally, conventional results, used by the company in study to evaluate team performance, are compared to those generated using the DEA methodology. The results presented here show that DEA is a useful methodology for assessing team performance and that it may contribute to improvements on the quality of the goal setting procedure.