Análise de variáveis direcionadoras de melhores práticas em operações logísticas

• Autor(a) principal: Silveira, Marcos Antonio Nunes da
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
• Texto Completo: http://repositorio.ufes.br/handle/10/4001
• topic: Benchmarking; Data envelopment analysis (DEA); Performance indicators; Análise Envoltória de dados (DEA); Indicadores de desempenho; Engenharia Civil; Análise envoltória de dados; Padrões de desempenho; Benchmarking (Administração); Logística empresarial; 624

The search for the identification of best practices is an ongoing challenge for developed any productive activity, whether focused on production of tangible or intangible assets, in this case services. Involved in this context is the logistics operations, including order processing, inventory management, shipping, transportation, and control the flow of information and resources applied. This research aims to identify with the companies analyzed whether the concepts set out in the reference models feature practical significance that is present relationship with the reality of logistics operators and are factors that can influence their results from the point of strategic and operational. Check predominant characteristics that are common in logistics operators classified as benchmarks. They evaluated the logistics operators who work in the domestic market taking into account aspects relating to best practices and variables that are direcionadoras these practices. The theoretical framework deals with the characterization of companies providing logistics services and criteria for the selection of logistics operators. The identification of performance measurement systems was discussed, as well as assessment indicators and benchmarking concepts in logistics operations and reference models. It was used based on the information disclosed in Tecnologística magazine # 223 of June 2014, which presents data for logistics providers operating in Brazil. After assessing the theoretical constructs and data interpretation was applied to envelopment analysis of technical data, using standardization, comparative evaluation and analysis of weights assigned by the model, to identify companies (logistics operators) that muster enough information to be considered as a benchmark. The ranking of efficiency presented by the DEA model was evaluated and the following variables were identified as drivers of best practice: number of current contracts, number of employees, time to market and area available for storage, being identified as INPUTs of the process. The volume of handled goods and net income were identified as OUTPUTs. These variables have been organized in a ratio of OUTPUT and INPUTs, which allowed the satisfactory assessment of the evaluated companies.