CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses.
a year ago
Authors: Xiulong Liu, Jiannong Cao, Yanni Yang and Shan Jiang
 
Journal Title: Computers
 
ISSN: 2073-431X (Print)
 
Publisher: MDPI AG
 
Abstract
 
This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses.
 
First, efficient CPS data collection: when limited communication bandwidth meets numerous CPS devices, we need to make more effort to study efficient wireless communication scheduling strategies.
 
Second, accurate and robust localization: localization is the basis for many fundamental operations in smart warehouses, but still needs to be improved from various aspects like accuracy and robustness.
 
Third, human activity recognition: human activity recognition can be applied in human–computer interaction for remote machine operations.
 
Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms should be investigated.
 
Finally, we point out some challenging issues in the future CPS-based smart warehouse, which could open some new research directions.
 

Figure : Popular techniques for Industry 4.0 and research topics in the context of smart warehouse (credit: Xiulong Liu, Jiannong Cao, Yanni Yang and Shan Jiang)

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
 
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