Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)

Research on Dynamic Management System of Double-Deep Rack for Automated Warehouse

Authors
Yunfeng Ma, Yang Gao
Corresponding Author
Yunfeng Ma
Available Online June 2017.
DOI
https://doi.org/10.2991/icmess-17.2017.87How to use a DOI?
Keywords
Automated warehouse; double-deep rack; dual command; interaction time; dynamic optimization
Abstract
In order to reduce the land cost of the warehouse, improve the competitiveness of enterprises. One of the approaches increasing space utilization is to reduce passageway as far as possible. Compared with single-double rack, double-deep rack can save half passageway space, hence can realize more compact warehousing. Firstly, an interleaving time model, for which both the run time of automated crane and the handling time of stacking crane are taken into consideration; secondly, a dynamic storage optimization method is put forward, which, in relation to random storage method, can shorten interaction time, and reduce reshuffle as far as possible; at last, simulation experiment is carried out, which indicates that the optimized storage method can improve operation efficiency.
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Proceedings
2017 International Conference on Management, Education and Social Science (ICMESS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
978-94-6252-348-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/icmess-17.2017.87How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yunfeng Ma
AU  - Yang Gao
PY  - 2017/06
DA  - 2017/06
TI  - Research on Dynamic Management System of Double-Deep Rack for Automated Warehouse
BT  - 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 368
EP  - 372
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.87
DO  - https://doi.org/10.2991/icmess-17.2017.87
ID  - Ma2017/06
ER  -