File(s) stored somewhere else

Please note: Linked content is NOT stored on CQUniversity and we can't guarantee its availability, quality, security or accept any liability.

Warehouse management models using artificial intelligence technology with application at receiving stage: A review

journal contribution
posted on 20.04.2021, 23:22 by Judy X Yang, Dujuan Li, Mohammad Rasul
This paper reviewed recent literature on inventory management technologies and Artificial Intelligence (AI) applications. The classical Artificial Neural Network (ANN) models and computer vision technology applications for object classification were reviewed in particularly. The challenges of AI technologies in industrial warehouse management, particularly the ANN for solving object classification and counting are discussed. Some researchers reported the use of face recognition, moving vehicle classification and counting, which are easy to recognise objects on the floor or the ground. Other researchers explored the object counting technologies which are used to identify the visible objects on the ground or in images. Although several studies focused on industrial component identification and counting problems, a study on the warehouse receiving stage remains a blank canvas. This paper reviews and analyses current industrial warehouse management developments around AI applications in this field, which may provide a reference for future researchers and end-users for the best modelling approach to this specific problem at the warehouse receiving stage.

History

Volume

11

Issue

3

Start Page

242

End Page

249

Number of Pages

8

ISSN

2010-3700

Publisher

IACSIT Press

Additional Rights

CC BY 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

19/07/2020

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Journal

International Journal of Machine Learning and Computing