Colleges and universities have always been the main export base of social talents. However, with the rapid development of the society, the demand for compound talents continues to grow, and the current college curriculum design lags behind the social demand, resulting in the contradiction between the current social demand for intelligent warehousing talents and the lack of practical operation ability of college graduates. To solve this problem, this paper designs an intelligent course of “theory + practice + simulation” based on the experimental teaching platform and the hardware and management system of automatic warehouse equipment. The course is composed of WMS (warehouse management system) based on workflow with a unified data model and simulation module. The unified data model can provide data guarantee for simulation modeling, and the experimental teaching platform is available for students to learn the course knowledge independently. Finally, the combination of theory and practice will be achieved to deepen students’ understanding of automated warehouse and their cognition of intelligent warehouse technology and management, so as to meet the social demand for compound intelligent warehouse management talents.
|Title of host publication||Lecture Notes on Data Engineering and Communications Technologies|
|Subtitle of host publication||Advances in Artificial Systems for Logistics Engineering|
|Editors||Z. Hu, Q. Zhang, S. Petoukhov, M. He|
|Number of pages||12|
|Publication status||Published - 29 Apr 2022|
|Name||Lecture Notes on Data Engineering and Communications Technologies|
Bibliographical noteFunding Information:
Acknowledgement. This paper is supported by the Industry-University Collaborative Education Project of the Ministry of Education of China in 2021, which is funded by Shenzhen NOS China Information Technology Co., Ltd.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Automated warehouse
- Correlation simulation
- Curriculum design