A simulation-based decision support system for business process planning Author:Peer Volkner, Brigitte Werners Public: ELSEVIER Fuzzy Sets and Systems Volume: 125,Issue: 3, February 1, 2002, pp Speaker: J.Y. Huang Date : 2005/01/20

Simulation to business process planning(1/2) Static view of the process Dynamic processes Uncertainty and vagueness often occur in business processes Simulation systems only support the modeling of stochastic uncertainty Fuzzy sets and approximate inference

Simulation to business process planning(2/2) State transitions dependent on fuzzy values of variables A concept of qualitative simulation with fuzzy input, fuzzy output and the respective handling of such values The vagueness of verbal formulations is modeled using fuzzy sets theory.

Modeling uncertainty in GEPSIS The GEPSIS decision support system

Modeling uncertainty in GEPSIS Uncertain attributes  Linguistic variables  Possibility distribution ASSU Y=A where A is a fuzzy set Y is trapezoidal membership functions parameters a, b, c, d ;a ≦ b ≦ c ≦ d

Modeling uncertainty in GEPSIS Approximate reasoning for process control

Simulation of order processing

Conclusion System modeling and Simulation provide valuable insights into business processes Permits us to model and redesign processes Contribute to the optimization of the business process