DocumentCode
3584417
Title
Notice of Retraction
An Optimal Storage Assignment Policy for Automated Storage and Retrieval Systems
Author
Ling Zhou ; Guiliang Zhou ; Xiaoqian Xie
Author_Institution
Coll. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
Volume
2
fYear
2010
Firstpage
142
Lastpage
145
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As one of the inevitable elements of the whole logistics procedure, effective Warehousing has great influence on the efficiency and cost of the logistics system as a whole. Based on the principle of lowest power consumption and the theory of probability distribution, this paper establishes a mathematical model for space allocation and finds a suitable method for the incoming goods, aiming to improve the warehousing management. It turns out that this new method is more effective than the traditional one, whose disadvantages are revealed through the comparison of the two methods.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As one of the inevitable elements of the whole logistics procedure, effective Warehousing has great influence on the efficiency and cost of the logistics system as a whole. Based on the principle of lowest power consumption and the theory of probability distribution, this paper establishes a mathematical model for space allocation and finds a suitable method for the incoming goods, aiming to improve the warehousing management. It turns out that this new method is more effective than the traditional one, whose disadvantages are revealed through the comparison of the two methods.
Keywords
logistics; probability; storage automation; warehouse automation; warehousing; automated storage and retrieval systems; logistics system cost; optimal storage assignment policy; power consumption; probability distribution; space allocation; warehousing management; Cost function; Educational institutions; Educational technology; Energy management; Hysteresis; Logistics; Statistical distributions; Storage automation; Transportation; Warehousing; allocation of cargo space; optimization; statistics distribution; storage;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.301
Filename
5459762
Link To Document