Constructing Digital Twins for Accurate and Reliable What-If Business Process Analysis

Marlon Dumas
2021 International Conference on Business Process Management  
A long-standing problem in the field of Business Process Management (BPM) is that of constructing accurate and reliable models for "what-if" business process analysis (digital process twins). This paper formulates this problem in a general setting and spells out associated challenges. The paper suggests that this problem can be addressed by combining observational data, experimental data, and domain knowledge using hybrid modeling methods drawing from the fields of discrete event simulation, machine learning, and causal inference.
dblp:conf/bpm/Dumas21 fatcat:zfspzuckvbhivncyypmen3m2uq