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A Case Study in Workflow Scheduling Driven by Log Data

  • Mirela BotezatuEmail author
  • Hagen Völzer
  • Remco Dijkman
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 202)

Abstract

This paper shows through a case study the potential for optimizing resource allocation in business process execution. While most resource allocation mechanisms focus on assigning resources to the tasks that they are authorized to perform, we assign resources to the tasks that they can provably perform most efficiently, by mining the execution logs. This gives rise to the minimization of the cost of the process execution. We present various cost measures and how hybrid algorithms can balance their conflicting goals. Our case study indicates significant potential for further research into optimal resource allocation mechanisms.

Keywords

Mathematical optimization of business processes Static and dynamic optimization Performance measurement of business processes Resource allocation in business processes 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.IBM Research – ZurichZurichSwitzerland
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands

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