Multi-objective Optimization for Production and Supply Chain System
Modeling is an effective way for designing, understanding or analyzing real-world processes and systems. A model facilitates a decision maker to gain a better understanding of the complexity of a process/system and evaluate/predict its performance under various circumstances. The modeling method for supply chain proposed in this talk is based on system dynamics (SD), which is an approach based on information feedbacks and delays in the model in order to understand the dynamical behavior a system. A SD model facilitates the representation, both graphically and mathematically, of the interactions governing the dynamic behavior of the studied system or process as well as the analysis of the interactions and their emergent effects.