Optimization for the Storage Management and Job Scheduling Based on Expert System

To improve the efficiency of automated storage and retrieval system, expert systems will be used in automated storage and retrieval system use management and job scheduling optimization. By analyzing the experience of experts in the field based on the knowledge base of production rules, the application of forward inference engine designed the flow of reasoning. The experimental results show that, in the automated storage and retrieval system, the use of expert systems cargo space management and job scheduling optimization, can effectively improve the operation of automated storage and retrieval system efficiency.