Production control in a complex production system using approximate dynamic programming
针对多工位、多中间件和最终产品的复杂生产系统，提出一种近似动态规划方法，结合人工神经网络近似状态值，开发出近最优的生产与库存控制策略，并以洗碗机装配线为例验证。
Development of an efficient production and inventory control policy for a production system with multiple working stations, intermediate components and end products is difficult. In particular, uncertain demand and large changeover times at the work stations cause significant problems. In this paper, we consider an assembly line for dishwashers which require multiple types of wire racks that must be fabricated and coated at different work centres before supplying the assembly lines. An approximate dynamic programming (ADP) method is proposed to address the complexities associated with such a system. In addition, an Artificial Neural Network model is designed to approximate state values of the system, thus helping the system to make decisions at particular states. A near optimal production and inventory control policy is developed through an ADP algorithm. The proposed method can be extended to any similar system.