An improving clustering algorithm for order batching of e-commerce warehouse system based on logistics robots

Abstract

In this paper, the batching model and strategy of orders in e-commerce warehouse system based on logistics robots are studied. First, different order picking patterns are put forward by analysing the operation process of logistic robots in the e-commerce warehouse system. Then the order batching model is established based on two objectives of the minimisation of the total picking and traveling time of logistics robots and the minimisation of the longest picking time used among all picking stations. The model is solved using the improved clustering algorithm. Finally, the results show that the picking pattern of batching first and combining last has the advantages of higher put-out-storage efficiency by simulating experiment and the comparison analysis of order picking efficiency corresponding to different order picking patterns.