Estudo sobre as limitações dos sistemas de medição da produtividade numa unidade industria do setor cervejeiro

• Autor(a) principal: Oliveira, Jailson Ribeiro de
• Data de Publicação: 2005
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
• Texto Completo: https://repositorio.ufpb.br/jspui/handle/tede/5281
• topic: Sistema de desempenho; Medição; Produtividade; Indústria cervejeira; System performance; Measurement; Productivity; Brewing industry; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO

This study aims to identify the limitations of productivity measurement systems (SMP`s) existing production unit in the sub-sector of the brewing industry of beverages. Is adopted with an exploratory case study set in a business sub-sector brewing the beverage industry, based on the criteria of typicality and accessibility, and the management team as the universe. Correlated variables SMP, productivity measures and limitations of SMP's to specific goals, opting for conducting a semistructured interview with the occupants of positions in levels managerial and strategic and collects the data through semi- structured, systematic observation and document analysis. Effects to quantitative and qualitative analysis addressing the SMP's according to established theoretical and quantitative data were sorted by spreadsheet to check. We identified management practices of production that characterize the existence of limitations of SMP's: lack of a measuring area structured, redundancy and lack of specificity of the measures and measurement methods, lack of organization of measures and their variables, large spread of frequency measurements in key areas of processes, logistics, packaging and engineering, since the disintegration of the software used to collect and process data to obtain low background in reporting, lack of cost-benefit evaluation of indicators and measurement system. There is a need to structure the SMP Strategic investigated from the viewpoint of cost, reliability, quality, flexibility and agility in order to add value in the decisions.