Dynamic decision making in mass customization

Mass customization requires proper production strategy to balance uniqueness, fashion, and price. Out of its principle to meet consumers' demand quickly, it requires flexible and dynamic strategies to adapt to cases. This research provides a production selection strategy in dynamic environment. We employed a stated preference survey and logit model to give out product configuration strategy and the base for following analysis. Then we adopt a sensitivity analysis based on Monte Carlo to evaluate the performance of product configuration and find out the most beneficial production strategy on the base of a modified logit model. Furthermore, we provide analysis to find out the most stable strategy in a dynamic environment. We choose apparel industry as a case, and the result shows our model can efficiently address the key issues in different types of markets. Furthermore, it helps decide which aspect to enhance the complex market.