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Information Management and Process Improvement Using Data Mining Techniques

  • Gibbons W M 
  • Ranta M 
  • Scott T M 
  • Mantyla M 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1821)

Abstract

This paper describes a computer component manufacturing scenario which concentrates on the application of data mining techniques to improve information management and process improvement within a manufacturing scenario. The case study involved, relates to an engineering component manufacturing company with a consortium of several plant outlets in various geographical locations world-wide. Currently, data, information and knowledge management, transparency and communication between plants within the scenario are limited. As a result, important information and best practices are not collectively pooled or conversed with the objective of improving information management and process development procedures on a global basis. This paper explores the possible enhancement of these consortium relationships and it also investigates the use of data mining techniques with the potential to advance information management and process improvement within the manufacturing environment concerned.

Keywords

Partial Little Square Information Management Data Mining Technique Customer Data Engineering Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Fan, H-T & Wu, S, (1995) “Case Studies on Modelling Manufacturing Processes Using Artificial Neural Networks”, Journal of Engineering for Industry, Vol.117, No.3, pp.412–417, 1995.MathSciNetCrossRefGoogle Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Gibbons W M 
    • 1
  • Ranta M 
    • 2
  • Scott T M 
    • 1
  • Mantyla M 
    • 2
  1. 1.University of UlsterN.Ireland
  2. 2.University of TechnologyHelsinkiFinland

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