Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Knowledge Management Framework for Six Sigma Performance Level Assessment
verfasst von : Jevgeni Sahno, Eduard Sevtsenko, Tatjana Karaulova
Erschienen in: Advances in Information Systems and Technologies
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
With the rapid growth of competition in the market, the companies have to guarantee customers a reliable, sustainable and quality proofing production system. In this paper we consider a KM framework that extracts “Six Sigma” knowledge on the basis of the data gathered from production facilities. The KM framework enables to assess the performance of a company’s production and quality system by sigma value. The result will help the company to select a new development strategy in order to increase the profitability and customer satisfaction. KM framework includes well known tools like PDM, ERP system, PDM-ERP middleware and DM. The core of our framework is the DM that combines production route card data, Faults Classification standard DOE-NE-STD-1004-92 and the data from FMEA table. The combination and application of different tools and methods in the general KM framework allows the data flow between different systems, analysis of production operation and the failures occurring in the production process.