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A Knowledge-Based Approach for Designing Robust Business Processes

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Business Process Management

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1806))

Abstract

This chapter describes a novel knowledge-based methodology and computer toolset for helping business process designers and participants better manage exceptions (unexpected deviations from a normal sequence of events caused by design errors, resource failures, requirement changes etc.) that can occur during the enactment of a process. This approach is based on an on-line repository exploiting a generic and reusable body of knowledge, which describes what kinds of exceptions can occur in collaborative work processes, how these exceptions can be detected, and how they can be resolved. This work builds upon previous efforts from the MIT Process Handbook project and from research on conflict management in collaborative design.

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Authors and Affiliations

  1. Center for Coordination Science, Sloan School of Management, Massachusetts Institute of Technology, Room E53-315, Cambridge, MA, 02139, USA

    Chrysanthos Dellarocas & Mark Klein

Authors
  1. Chrysanthos Dellarocas
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  2. Mark Klein
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Editor information

Editors and Affiliations

  1. Faculty of Technology and Management, Department of Information and Technology, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

    Wil van der Aalst

  2. Mathematisch-Geographische Fakultät, Lehrstuhl für Angewandte Informatik, Katholische Universität Eichstätt, Ostenstraße 28, 85072, Eichstätt, Germany

    Jörg Desel

  3. Institut für Wirtschaftsinformatik, Lehrstuhl für Wirtschaftsinformatik II, J.W. Goethe-Universität Frankfurt am Main, Postfach 111932, 60054, Frankfurt am Main, Germany

    Andreas Oberweis

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© 2000 Springer-Verlag Berlin Heidelberg

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Dellarocas, C., Klein, M. (2000). A Knowledge-Based Approach for Designing Robust Business Processes. In: van der Aalst, W., Desel, J., Oberweis, A. (eds) Business Process Management. Lecture Notes in Computer Science, vol 1806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45594-9_4

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  • DOI: https://doi.org/10.1007/3-540-45594-9_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67454-2

  • Online ISBN: 978-3-540-45594-3

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