IDENTIFIKACE DATOVÝCH STRUKTUR PRO PODPORU METOD ŠTÍHLÉ VÝROBY.

Customer requirements force producers to manufacture still wider portfolio of products and at the same time to improve in categories such as production efficiency, product quality and customer delivery abilities. In order to maintain long-term prosperity and for successful competing on the market, lean principles and methods supporting these principles are applied. The lean production methods focus on various areas and features while they often complement or even overlap. It is always a question which method should be applied in which situation. At the same time, even implementation of these methods has certain limits such as insufficient machinery capacity when even maximal utilization of a machine cannot fully satisfy customer requirements. The article deals with the topic of selecting the most suitable lean production method and the way of objective evaluation of current needs of the monitored sub-process based on identification of indicators and monitoring these. The proposed solution focuses on determining the appropriate area of measuring and identification of such data structures which have a significant relation to the monitored categories (availability, performance, quality). Monitoring and subsequent evaluation of such indicators serves as objective support for decisions on lean method implementation. [ABSTRACT FROM AUTHOR]