重庆大学学报(英文版)2018,Vol.17Issue(3) :101-118.

Comparative experimental analysis on various picking types under dedicated and random storage assignments for automated storage and retrieval systems

WANG Kun HE Fang ZHANG Guang-yuan JIANG Shan GONG DI
重庆大学学报(英文版)2018,Vol.17Issue(3) :101-118.

Comparative experimental analysis on various picking types under dedicated and random storage assignments for automated storage and retrieval systems

WANG Kun 1HE Fang 2ZHANG Guang-yuan 3JIANG Shan 4GONG DI3
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作者信息

  • 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P.R.China;National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P.R.China
  • 2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P.R.China
  • 3. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P.R.China
  • 4. CRRC Changchun Railway Vehicles Co., Ltd., Changchun 130000, P.R.China
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Abstract

Product storage policy,single picking volume and picking routing are the three factors of vital importance that affect the efficiency of a crane to pick goods in automated storage and retrieval systems (AS/RS).Comparative experiments on picking efficiency were conducted targeting picking operation with order of 1 to 20.Based on dedicated and random storage policies,4 picking methods of patching-based,S-type,return-type and optimized-type routes were used and compared in the experiments.The results show that either the dedicated policy or the random policy was applied,crane worked most efficiently with optimizedtype route,followed by S-type path,patching-based path,and return-type path.When the number of orders in a single picking is larger (more than 5),the random storage policy is preferable to the dedicated policy.

Key words

dedicated storage policy/random storage policy/patching-based picking/S-type picking/return-type picking/optimized-type picking

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基金项目

Funded by National Social Science Foundation of China(16CGL018)

Soft Science Research Funds for Chengdu Science and Technology Project(2015-RK00-00206-ZF)

and the National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,China()

出版年

2018
重庆大学学报(英文版)
重庆大学

重庆大学学报(英文版)

影响因子:0.02
ISSN:1671-8224
参考文献量8
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