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PPSS: CBR System for ERP Project Pre-planning

  • Conference paper
Artificial Intelligence and Simulation (AIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3397))

Abstract

At the initiation stage of project, a project pre-planning is an essential job for project success, especially for large-scale information system projects like ERP (Enterprise Resource Planning). Systematic estimation of resources like time, cost and manpower is very important but difficult because of the following reasons: 1) it involves lots of factors and their relationships, 2) it is not easy to apply mathematical model to the estimation, and 3) every ERP project is different from one another. In this article, we propose a system named PPSS (Project Pre-planning Support System) that helps the project manager to make a pre-plan of ERP project with case-based reasoning (CBR). He can make a project pre-plan by adjusting the most similar case retrieved from the case base. We adopt rule-based reasoning for the case adjustment which is one of the most difficult jobs in CBR. We have collected ERP implementation cases by interviewing with project managers, and organized them with XML (Extensible Markup Language)

This work was supported by Research Program 2004 of Kookmin University.

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Author information

Authors and Affiliations

  1. School of e-Business, Kookmin University, 861-1 Chongnung-dong, Sungbuk-ku, Seoul, 136-702, South Korea

    Suhn Beom Kwon

  2. College of Business Administration, Ewha University, 11-1 Daehyun-dong, Seodaemun-ku, Seoul, 120-750, South Korea

    Kyung-shik Shin

Authors
  1. Suhn Beom Kwon
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  2. Kyung-shik Shin
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Editor information

Editors and Affiliations

  1. Dept. of EECS, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Guseong-dong, Yuseong-gu, Daejeon, Republic of Korea

    Tag Gon Kim

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© 2005 Springer-Verlag Berlin Heidelberg

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Kwon, S.B., Shin, Ks. (2005). PPSS: CBR System for ERP Project Pre-planning. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_17

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  • DOI: https://doi.org/10.1007/978-3-540-30583-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24476-9

  • Online ISBN: 978-3-540-30583-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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