APLICAÇÃO DA ANÁLISE DE ENVOLTÓRIA DE DADOS (DEA) NA AVALIAÇÃO DE EFICIÊNCIA E BENCHMARKING EM GESTÃO DE SERVIÇOS DE PÓS-VENDAS DE AUTOMÓVEIS

Abstract

The service sector has been the subject of many studies due to its expansive growth in terms of markets, and billing for its real renewal capacity and propensity for innovation. The automotive industry has aggregated various activities in its supply chain, dedicated to services, meeting every demand. Specifically with respect to the resale of vehicles, the aftermarket sector concessionaire has an important function in maintaining the customer relationship in the character of brand loyalty through service and zeal in service. Activities in concessions need to provide this type of service with maximum efficiency while maintaining the standard set by the automaker, so that conglomerates formed by groups with multiple units need to monitor their standards, and promote change as consistently as possible, that is critical to ensure continued market. In this context, this paper proposes to discuss issues incipient national literature, studying the processes of inputs and outputs of five units providing after sales service for a grant, applying the methodology DEA - Data Analisys Envelopement. The DEA is a nonparametric method based on linear programming and allows calculation of efficiency by comparison of decision-making units. The efficiencies of workshops on post sales were calculated assuming scenarios of interest, then to discuss best practices in an internal benchmarking, where the results were pointed efficient units, and targets needed to guide management in order to maximize the goals and design standards. Further work gathered information services and technical data for the application and use of the DEA, the results confirm that there was little more than 5% of the box were efficient, and such evidence contributed to the proposed methodology for measuring efficiency industry sales and after sales of automobiles is applicable as a tool for management of such business.