Unmanned Cranes Scheduling and System Implementation of a CPS-based Steel Slab Yard

In order to respond more quickly to the diverse needs of customers, manufacturing industries have to improve the efficiency of logistics operations in the warehouse. A CPS-based slab yard unmanned crane system is introduced in this paper. The Internet of Things technology realizes the interconnection of logistics equipment in the storage area, and the intelligent scheduling system realizes the collaborative control of the cranes. This paper establishes a mathematical model of the joint storage location and cranes scheduling optimization problem, and integrates the rule-based dynamic scheduling method with a multi-objective optimization algorithm to solve the problem. The actual field application has verified the effectiveness of the system, which reduces the stack transfer rate by 40% and improves the crane utilization by 30%.