Profit-Oriented Production and Pricing Optimization for Manufacturing Enterprises Using Proximal Policy Optimization

In modern intelligent manufacturing, enterprises face increasingly dynamic market environments where production costs, consumer demand, and pricing strategies interact in complex, nonlinear ways. Traditional static or rule-based decision models fail to capture these interdependencies, often leading to suboptimal profit margins and excessive inventory accumulation. To address this challenge, this study proposes a profit-oriented production and pricing optimization system for manufacturing enterprises based on Proximal Policy Optimization (PPO), an advanced reinforcement learning algorithm well-suited for continuous control and dynamic environments. The proposed system autonomously learns optimal production…