AB-BPM: Performance-Driven Instance Routing for Business Process Improvement View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-08-10

AUTHORS

Suhrid Satyal , Ingo Weber , Hye-young Paik , Claudio Di Ciccio , Jan Mendling

ABSTRACT

A fundamental assumption of Business Process Management (BPM) is that redesign delivers new and improved versions of business processes. This assumption, however, does not necessarily hold, and required compensatory action may be delayed until a new round in the BPM life-cycle completes. Current approaches to process redesign face this problem in one way or another, which makes rapid process improvement a central research problem of BPM today. In this paper, we address this problem by integrating concepts from process execution with ideas from DevOps. More specifically, we develop a technique called AB-BPM that offers AB testing for process versions with immediate feedback at runtime. We implemented this technique in such a way that two versions (A and B) are operational in parallel and any new process instance is routed to one of them. The routing decision is made at runtime on the basis of the achieved results for the registered performance metrics of each version. AB-BPM provides for ultimate convergence towards the best performing version, no matter if it is the old or the new version. We demonstrate the efficacy of our technique by conducting an extensive evaluation based on both synthetic and real-life data. More... »

PAGES

113-129

References to SciGraph publications

  • 2011. Event-Based Monitoring of Process Execution Violations in BUSINESS PROCESS MANAGEMENT
  • 1993-04. Cause, Effect, Efficiency and Soft Systems Models in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
  • 2013. Fundamentals of Business Process Management in NONE
  • 2009-02. Controlled experiments on the web: survey and practical guide in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2013-12. Investigating the success of operational business process management systems in INFORMATION TECHNOLOGY AND MANAGEMENT
  • 2014. Predictive Task Monitoring for Business Processes in BUSINESS PROCESS MANAGEMENT
  • Book

    TITLE

    Business Process Management

    ISBN

    978-3-319-64999-3
    978-3-319-65000-5

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-65000-5_7

    DOI

    http://dx.doi.org/10.1007/978-3-319-65000-5_7

    DIMENSIONS

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