Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

A Technical Note about Design Thought of AGV logistics based on Floyd Method

Authors
Qiunan Feng
Corresponding Author
Qiunan Feng
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.5How to use a DOI?
Keywords
smart factory planning, logistics essential, Floyd method.
Abstract
As the world industrial production requiring higher and faster efficiency, a series of manufacture processes is facing new challenges. Especially, there are two main parts according to potential profitability during each process steps. One has potential profitability that is logistics step and another is un-logistics. In this paper, there is a higher efficiency logistics system and about loading platform, material distribution and storage for shipment. The Floyd method would be an important role for planning the material distribution. An example is making the thought coming true. From the result, the production cycle that is from unloading materials to storage for shipment has be decreased with 10% to 20%. It has higher efficiency and better benefit for the factory. With the rapid development of industrial process, the higher efficiency means for that the industry holds importance position in the world.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/ammee-17.2017.5How 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  - Qiunan Feng
PY  - 2017/06
DA  - 2017/06
TI  - A Technical Note about Design Thought of AGV logistics based on Floyd Method
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.5
DO  - https://doi.org/10.2991/ammee-17.2017.5
ID  - Feng2017/06
ER  -