Skip to main content

Implementation of Case-Based Reasoning System for Knowledge Management of Power Plant Construction Projects in a Korean Company

  • Conference paper
Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 35))

Included in the following conference series:

  • 2101 Accesses

Abstract

Recently, plant construction industries are enjoying a favorable business climate centering around developing countries and oil producing countries rich in oil money. This paper proposes a methodology of implementing corporation-wide case-based reasoning (CBR) system for effectively managing lessons learned knowledge like experiences and know-how obtained in performing power plant construction projects. Our methodology is consisted of 10 steps: user requirement analysis, information modeling, case modeling, case base design, similarity function design, user interface design, case base building, CBR module development, user interface development, integration test. Also, to illustrate the usability of proposed methodology, the practical CBR system is implemented for the plant construction business division of ’H’ company which has international competitiveness in the field of plant construction industry. At present, our CBR system is successfully utilizing as storing, sharing, and reusing the knowledge which is accumulated in performing power plant construction projects in the target enterprise.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bartlmae, K., Riemenschneider, M.: Case Based Reasoning for Knowledge Management in KDD-Projects. In: Proc. of the Third Int. Conf. on Practical Aspects of Knowledge Management (PAKM 2000), vol. 2, pp. 1–10 (2000)

    Google Scholar 

  2. Choy, K.L., Lee, W.B., Lau, H.C.W., Choy, L.C.: A Knowledge-Based Supplier Intelligence Retrieval System for Outsource Manufacturing. Knowledge-Based Systems 18, 1–17 (2005)

    Article  Google Scholar 

  3. Chen, P.P.: The Entity-Relationship Model towards a Unified View of Data. ACM Transactions on Database Systems (TODS) 1(1), 9–36 (1976)

    Article  Google Scholar 

  4. Davenport, T.H., Long, D., Beers, M.C.: Successful Knowledge Management Projects. Sloan Management Review, 43–57 (1998)

    Google Scholar 

  5. Fowler, M., Scott, K., Booch, G.: UML Diltilled: Applying the Standard Object Modeling Language. Addison-Wesley Publishing Co., Reading (1997)

    Google Scholar 

  6. Gronau, N., Laskowski, F.: Using Case-Based Reasoning to Improve Information Retrieval. In: Knowledge Management Systems. LNCS, vol. 2663, p. 954. Springer, Heidelberg (2003)

    Google Scholar 

  7. Ho, C., Chen, J.J.: The Case-Based Reasoning System for Knowledge Management of Engineering Consulting Projects. In: International Conference on Computational Intelligence for Modeling Control and Automation and International Conference on Intelligent Agents Web Technologies and Internet Commerce (CIMCA-IAWTIC 2006), p. 234 (2006)

    Google Scholar 

  8. Hsu, S.H., Wang, C.W.Y.: Evaluating the Effectiveness of Knowledge-Retrieval Aids for Fault-Diagnosis Tasks. Journal of the Chinese Institute of Industrial Engineers 21(5), 465–474 (2004)

    Article  Google Scholar 

  9. Lau, H.C.W., Wang, C.W.Y., Hui, I.K., Pun, K.F.: Design and Implementation of an Integrated Knowledge System. Knowledge-Based System 16, 69–76 (2003)

    Article  Google Scholar 

  10. LeBozec, C., Jaulent, M.C.: Unified Modeling Language and Design of a case-based retrieval system in medical imaging. In: Proc. AMIA Symp., pp. 8887–8914 (1998)

    Google Scholar 

  11. Limam, S., Marir, F., Reijers, H.A.: Case-Based Reasoning as a Technique for Knowledge Management in Business Process Redesign. Electronic Journal on Knowledge Management 1(2), 113–124 (2003)

    Google Scholar 

  12. Rezgui, Y., Marir, F., Cooper, G.A.: Case-Based Approach for Construction Process Activity Specification. In: IASTED International Conference on Intelligent Information Systems (IIS 1997), pp. 293–297 (1997)

    Google Scholar 

  13. Riesbeck, C.K., Schank, R.: Inside Case-Based Reasoning. Erlbaum, Northvale (1989)

    Google Scholar 

  14. Yoo, S.: Data Flow Diagrams. Encyclopedia of Information Systems, 455–468 (2004)

    Google Scholar 

  15. Waheed, A., Adeli: Case-Based Reasoning in Steel Bridge Engineering. Knowledge-Based Systems 18, 37–46 (2005)

    Article  Google Scholar 

  16. Watson, I.: Knowledge Management and Case-Based Reasoning: A Perfect Match? In: Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, pp. 118–122 (2001)

    Google Scholar 

  17. Watson, I.: Lessons Learned During HVAC Installation (2000), http://www.cs.auckland.ac.nz/~ian/papers/cbr/lessons.pdf

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jang, GS. (2009). Implementation of Case-Based Reasoning System for Knowledge Management of Power Plant Construction Projects in a Korean Company. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02298-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02297-5

  • Online ISBN: 978-3-642-02298-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics