Business Process Simulation Survival Guide

Wil M. P. Aalst ()
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Wil M. P. Aalst: Eindhoven University of Technology

A chapter in Handbook on Business Process Management 1, 2015, pp 337-370 from Springer

Abstract: Abstract Simulation provides a flexible approach to analyzing business processes. Through simulation experiments various “what if” questions can be answered and redesign alternatives can be compared with respect to key performance indicators. This chapter introduces simulation as an analysis tool for business process management. After describing the characteristics of business simulation models, the phases of a simulation project, the generation of random variables, and the analysis of simulation results, we discuss 15 risks, i.e., potential pitfalls jeopardizing the correctness and value of business process simulation. For example, the behavior of resources is often modeled in a rather naïve manner resulting in unreliable simulation models. Whereas traditional simulation approaches rely on hand-made models, we advocate the use of process mining techniques for creating more reliable simulation models based on real event data. Moreover, simulation can be turned into a powerful tool for operational decision making by using real-time process data.

Keywords: Business Process; Problem Definition; Business Process Management; Concept Drift; Process Instance (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-642-45100-3_15

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