Digital Twin-Based Production-Delivery Synchronization Under Batch Processing Mode

Batch processing of small-batch customer orders can effectively reduce operating costs. Manufacturers need third-party logistics (3PLs) to provide services in the production process to quickly deliver finished products to customers. However, the two have very different batch processing of cus-tomer orders: manufacturers merge customer orders with identical demands, while 3PLs merge customer orders in prox-imate regions. Consequently, when both manufacturers and 3PLs are involved in decision-making, the efficiency and economy of production-logistics operations are severely compromised under batch processing. Therefore, the key issue ad-dressed in this paper is how to achieve production-delivery synchronization under batch processing mode, as well as synchronized control in a highly dynamic environment. To ad-dress this issue, a digital twin-based production-delivery synchronized decision framework is proposed, centered on the concept of “cloud-edge-terminal”. A synchronization control mechanism based on digital twin is designed. A collaborative optimization-based synchronized mathematical model and optimization algorithm are developed. Finally, a comparison between two synchronization modes, demonstrates that the proposed solution effectively achieves optimal production-logistics operational states and reduces total costs.