Joint Scheduling of Material Pickup and Delivery Towards Intelligent Material Yard

Abstract

Compared to traditional material yards with simple supply requirements and centralized material storage, intelligent material yards can significantly reduce storage space, improve material pickup efficiency, and reduce additional costs due to material mutual contamination. However, the current material delivery process is still dominated by a manual decision-making model, which is difficult to adapt to the complex and changing supply requirements. To this end, an integrated scheduling problem of material pickup and delivery considering multi-factory order requirements is proposed in this paper, which originates from a real-world scenario of Binxin intelligent material yard. By introducing the concept of spatio-temporal network flow, a discrete time-based integer linear programming model is established and then the CPLEX solver is used to solve the model. Compared with the traditional continuous-time based model, the established model shows significant advantages in terms of both solution quality and solution time, which can greatly improve the overall efficiency of the Binxin intelligent material yard.