With the intensification of market competition and the development of market globalization, the efficiency of supply chain management orders has become an important part of enterprise competition resources. The competition among enterprises is fierce. To achieve effective customer response quickly, the time for supply chain order management is minimized, and refine the order processing process. This article introduces the strategy research of supply chain management order based on a reinforcement learning algorithm. This article first combines the reinforcement learning algorithm and deep learning algorithm, using the optimal decision-making ability of reinforcement learning algorithm and deep learning algorithm. The combination of data perception and the optimal ability to analyze examine the data of the order process, order cycle, and order delivery process of the supply chain order management and give the optimal decision. The supply chain order management process conducts questionnaire surveys and seminars to understand the current process of supply chain order management and the problems derived from the analysis of data based on the deep learning algorithm. Finally, through the output of the optimal strategy of the reinforcement learning algorithm, the supply chain order management process was improved, and the satisfaction survey was conducted again. The survey showed that the satisfaction was improved, and the satisfaction reached more than 90%.

中文翻译：

---

强化学习算法在供应链环境下交货单系统中的应用

随着市场竞争的加剧和市场全球化的发展，供应链管理订单的效率已经成为企业竞争资源的重要组成部分。企业之间的竞争非常激烈。为快速实现有效的客户响应，最大限度地缩短供应链订单管理时间，细化订单处理流程。本文介绍了基于强化学习算法的供应链管理订单策略研究。本文首先将强化学习算法和深度学习算法结合起来，利用强化学习算法和深度学习算法的最优决策能力。数据感知与最优分析能力相结合，检验订单流程、订单周期、以及供应链订单管理的订单交付流程，并给出最优决策。供应链订单管理流程通过问卷调查和研讨会，了解当前供应链订单管理流程以及基于深度学习算法的数据分析得出的问题。最后，通过强化学习算法的最优策略输出，改进供应链订单管理流程，再次进行满意度调查。调查显示，满意度有所提高，满意度达到90%以上。供应链订单管理流程通过问卷调查和研讨会，了解当前供应链订单管理流程以及基于深度学习算法的数据分析得出的问题。最后，通过强化学习算法的最优策略输出，改进供应链订单管理流程，再次进行满意度调查。调查显示，满意度有所提高，满意度达到90%以上。供应链订单管理流程通过问卷调查和研讨会，了解当前供应链订单管理流程以及基于深度学习算法的数据分析得出的问题。最后，通过强化学习算法的最优策略输出，改进供应链订单管理流程，再次进行满意度调查。调查显示，满意度有所提高，满意度达到90%以上。