scholarly journals Two-stage Intelligent heuristic order batching algorithm in multiple-block ultra-narrow-aisle picking systems

2021 ◽  
Vol 192 ◽  
pp. 1964-1972
Author(s):  
Shan Zhu ◽  
Yanling Zhuang ◽  
Xiangpei Hu ◽  
Long Shi
2019 ◽  
Vol 13 (3-4) ◽  
pp. 325-341 ◽  
Author(s):  
Anderson Rogério Faia Pinto ◽  
Marcelo Seido Nagano

2020 ◽  
Vol 19 (4) ◽  
pp. 701-712
Author(s):  
H. Jiang

This paper focuses on the order batching problem, aiming at this order batching problem of an e-commerce unmanned warehouse multi-robot picking system, considering the complexity and uncertainty of the system. In this paper establishes a two-stage model with the objective function of maximizing the sum of the average similarity of each picking station and balancing the picking station picking times, and uses a dynamic clustering algorithm to solve the model. The simulation results show that a two-stage order batching model that considers the order similarity and the picking time balance can be established, which can reduce the number of shelves effectively and improve the picking efficiency of warehouse multi-robot system.


2010 ◽  
Vol 3 (1) ◽  
pp. 82-105 ◽  
Author(s):  
Sebastian Henn ◽  
Sören Koch ◽  
Karl F. Doerner ◽  
Christine Strauss ◽  
Gerhard Wäscher

2012 ◽  
Vol 44 (2) ◽  
pp. 88-106 ◽  
Author(s):  
Soondo Hong ◽  
Andrew L. Johnson ◽  
Brett A. Peters

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