Generating Business Process Recommendations with a Population-Based Meta-Heuristic

  • Steven MertensEmail author
  • Frederik Gailly
  • Geert Poels
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 202)


In order to provide both guidance and flexibility to users during process execution, recommendation systems have been proposed. Existing recommendation systems mainly focus on offering recommendation according to the process optimization goals (time, cost…). In this paper we offer a new approach that primarily focuses on maximizing the flexibility during execution. This means that by following the recommendations, the user retains maximal flexibility to divert from them later on. This makes it possible to handle (possibly unknown) emerging constraints during execution. The main contribution of this paper is an algorithm that uses a declarative process model to generate a set of imperative process models that can be used to generate recommendations.


Business processes Recommender systems Declarative process model Run-time flexibility 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Business Informatics and Operations Management, Faculty of Economics and Business AdministrationGhent UniversityGhentBelgium

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