Knowledge Management Framework for Six Sigma Performance Level Assessment

  • Jevgeni Sahno
  • Eduard Sevtsenko
  • Tatjana Karaulova
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 206)

Abstract

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.

Keywords

Knowledge Management (KM) Product Data Management (PDM) Enterprise Resource Management (ERP) PDM-ERP middleware Data Mart (DM) Production Route (PR) Faults Classification Failure Mode and Effect Analysis (FMEA) Six Sigma Sigma performance level 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jevgeni Sahno
    • 1
  • Eduard Sevtsenko
    • 1
  • Tatjana Karaulova
    • 1
  1. 1.Department of Mechanical EngineeringTallinn University of TechnologyTallinnEstonia

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