Enterprise Decision Research with Multivariate Combination Models

Role: Team leader
Recognition: National Second Prize, China Undergraduate Mathematical Contest in Modeling 2024
Tools: MATLAB, LaTeX

This project proposed a sequential probability ratio testing model for sampling inspection and a 0-1 combinatorial decision model for production planning. The model covered both single-stage and multi-stage production scenarios and incorporated optimization under uncertain defective rates.

My contributions included team organization, more than half of the code implementation, model realization, algorithm selection, visualization, and the proposal of an optimization model under uncertain defect rates. I was also the main writer for the model establishment and solution section of the paper.