Back to Search
Start Over
Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system.
- Source :
- International Journal of Computer Integrated Manufacturing; Jul-Aug2021, Vol. 34 Issue 7/8, p783-800, 18p, 2 Color Photographs, 7 Diagrams, 6 Charts
- Publication Year :
- 2021
-
Abstract
- Current mass individualisation and service-oriented paradigm calls for high flexibility and agility in the warehouse system to adapt changes in products. This paper proposes a novel digital twin-driven joint optimisation approach for warehousing in large-scale automated high-rise warehouse product-service system. A Digital Twin System is developed to aggregate real-time data from physical warehouse product-service system and then to map it to the cyber model. A joint optimisation model on how to timely optimise stacked packing and storage assignment of warehouse product-service system is integrated to the Digital Twin System. Through perceiving online data from the physical warehouse product-service system, periodical optimal decisions can be obtained via the joint optimisation model and then fed back to the semi-physical simulation engine in the Digital Twin System for verifying the implementation result. A demonstrative prototype is developed and verified with a case study of a tobacco warehouse product-service system. The proposed approach can maximise the utilisation and efficiency of the large-scale automated high-rise warehouse product-service system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0951192X
- Volume :
- 34
- Issue :
- 7/8
- Database :
- Complementary Index
- Journal :
- International Journal of Computer Integrated Manufacturing
- Publication Type :
- Academic Journal
- Accession number :
- 152396058
- Full Text :
- https://doi.org/10.1080/0951192X.2019.1667032