In this work, we develop a network model for the dynamics of CS-induced immune response in COPD progression. Using this model, computer simulations are performed for the investigations of smoking cessation effects and susceptibility of smokers to COPD, and the identification of important network elements in COPD progression. Our modeling study identifies several positive feedback loops that play important but different roles in COPD progression. The computational results in this study are consistent with laboratory and clinical observations, providing novel insight into the cellular and molecular mechanisms of CS-induced COPD.