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Advanced services for process evolution: Monitoring and decision support

  • Ilham Alloui
  • Sami Beydeda
  • Sorana Cîmpan
  • Volker Gruhn
  • Flavio Oquendo
  • Christian Schneider
Session 0: PIE Workshop
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1780)

Abstract

Process support environments (PSEs) are widely used for modelling, enacting and analyzing human intensive processes. The benefits of a PSE become apparent when processes to be supported are long lived and distributed and contain heterogeneous components. Generally, such processes are subject to dynamic evolution, i.e. they have to be changed during their execution. Unfortunately, virtually none of the existing PSEs consider dynamic evolution of processes. This article explains the concepts and techniques underlying a set of components developed in the ESPRIT Project Process Instance Evolution (PIE) that support the dynamic evolution of processes. These concepts and techniques are demonstrated using a real-world scenario from the automotive industry.

Keywords

Risk Measure Process Manager Fuzzy Subset Conformance Factor Process Instance 
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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Copyright information

© Springer-Verlag 2000

Authors and Affiliations

  • Ilham Alloui
    • 1
  • Sami Beydeda
    • 2
  • Sorana Cîmpan
    • 1
  • Volker Gruhn
    • 2
  • Flavio Oquendo
    • 1
  • Christian Schneider
    • 2
  1. 1.ESIA LLPUniversity of Savoie at AnnecyAnnecy CedexFrance
  2. 2.Computer Science Department, Software TechnologyUniversity of DortmundDortmundGermany

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