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Simulation: Key to Effective Process Design and Mining

Discover insights on why simulation belongs in your design platform rather than in process mining tools, as J-M Erlendson and Roland discuss essential outcomes and types of simulation.

A new podcast episode of What’s Your Baseline was published on Apr 25, 2022:

Overview:

This episode discusses the importance of integrating Process Simulation into design platforms rather than viewing it solely as a feature of Process Mining tools. Key aspects such as simulation types, required inputs, and potential outcomes are highlighted to enhance business process management.

Core content:

  • Process Simulation is essential for creating various future scenarios by adjusting process parameters and predicting outcomes.
  • Integration of simulation within the solution lifecycle promotes comprehensive analysis beyond data extraction from Process Mining tools.
  • Various types of simulations include discrete event simulation and Monte Carlo simulation, accommodating different operational needs.
  • Successful simulation outcomes include identification of bottlenecks, resource allocation insights, and optimization recommendations.

Learnings:

  • Understanding key parameters is essential for effective process simulation, influencing outcomes and resource management strategies.
  • Being clear on objectives before simulation enhances efficiency and outcome relevance in Bottleneck analysis and optimization.
  • Process Mining tools are beneficial as data sources but should not replace comprehensive simulation tools necessary for effective process design.
  • Simulations provide valuable statistical outputs, aiding in decision-making about resource allocation and operational improvements.

The original content was published in English.

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