Optimization of Production Process Decision Making Based on Roulette Wheel Selection Hypothesis Testing and Comprehensive Cost-Benefit Model

Enterprises face complex decision-making issues in the production process. This paper investigates the production decision-making issues of enterprises under different circumstances. It employs methods such as the Roulette Wheel Selection, Branch and Bound, and Genetic Algorithms to establish statistical hypothesis testing models and comprehensive cost-benefit models. It employs methods such as the Roulette Wheel Selection, Branch and Bound, and Genetic Algorithms to establish statistical hypothesis testing models and comprehensive cost-benefit models. The aim is to address the design of sampling plans under certain requirements and the formulation of production decision-making plans under various.