Author(s)

Jun-E Liu, Shujun Zhang, Hongling Liu

The School of Information, Beijing Wuzi University, Beijing, China.

This paper aims to optimize the “Parts to Picker” picking system with order sorting and AGV path planning as its priorities according to AGV-based “Parts to Picker” sorting mode and the order picking procedures. And this paper builds an intelligent order batching model with the minimum number of AGV handling shelves as the objective function. In addition, this paper also introduces the concept of order proximity coefficient, realizes reasonable and effective batching of orders. Based on the results of the order batching, this paper presents a goods-picking list in the target shelves after collecting various order batches, and proposes a TSP-based and “S-type” shelves handling strategy. In addition, this paper builds a path planning model with the shortest AGV total handling distance. The path planning under multiple AGVs parallel situation is realized. Finally, this paper proves the efficiency of AGV path planning strategy based on the results of orders batching by listing practical examples from enterprise.

AGV, Picking Mode, Order Proximity, Path Planning

Liu, J. , Zhang, S. and Liu, H. (2019) Research on AGV Path Planning under “Parts-to-Picker” Mode. Open Journal of Social Sciences, 7, 1-14. doi: 10.4236/jss.2019.76001.