This paper aims at briefly overview the previous use of process modeling in denim manufacturing sectors, specifically, dyeing and finishing processes. A collection of relevant works is introduced, such as modeling the dyeing process for predicting the depth of shade, the effects of alkali reductive stripping process or cellulase washing process on color properties, and certain physical properties. A specific case in regard to modeling ozone fading denim by artificial neural networks (ANN) was studied as an example at the end, the results simply revealed that modeling process using soft computing techniques is capable to accurately predict the targeted outputs which is obviously promising and potential to make a difference in the future development of denim manufacturing.