Paper Title:
Order Picking Path Optimization Based on Genetic Algorithm
  Abstract

Optimizing order picking path of wares properly has been an effective method of advancing automated warehouse operation efficiency. By analyzing the work characteristics of automated warehouse order picking, an automated warehouse order picking mathematical model is proposed which takes total travel time of order picking as the target function. Adopting the strategy of combination of roulette selecting and the optimal individual preservation to implement selecting operation in solving the mathematical model, a good experimental simulation result is received.

  Info
Periodical
Edited by
Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen
Pages
379-382
DOI
10.4028/www.scientific.net/KEM.464.379
Citation
Z. L. Chen, S. X. Xie, D. M. Wu, "Order Picking Path Optimization Based on Genetic Algorithm", Key Engineering Materials, Vol. 464, pp. 379-382, 2011
Online since
January 2011
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