Intelligent Course Design of Automatic Warehouse Based on Association Simulation

Xiaoping Qiu; Cong Lan; J. Liu; Jiong Chen

doi:10.1007/978-3-031-04809-8_33

Intelligent Course Design of Automatic Warehouse Based on Association Simulation

Xiaoping Qiu, Cong Lan, J. Liu, Jiong Chen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

84 Downloads (Pure)

Abstract

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.

Original language	English
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
Publisher	Springer
Pages	367-378
Number of pages	12
Volume	135
ISBN (Electronic)	978-3-031-04809-8
ISBN (Print)	978-3-031-04808-1
DOIs	https://doi.org/10.1007/978-3-031-04809-8_33
Publication status	Published (in print/issue) - 29 Apr 2022

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	135
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Bibliographical note

Funding 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.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Automated warehouse
Correlation simulation
Curriculum design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-04809-8_33

1908-ICAILE_AcceptedAuthor Accepted Manuscript, 227 KB

Cite this

Qiu, X., Lan, C., Liu, J., & Chen, J. (2022). Intelligent Course Design of Automatic Warehouse Based on Association Simulation. In Z. Hu, Q. Zhang, S. Petoukhov, & M. He (Eds.), Lecture Notes on Data Engineering and Communications Technologies: Advances in Artificial Systems for Logistics Engineering (Vol. 135, pp. 367-378). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 135). Springer. https://doi.org/10.1007/978-3-031-04809-8_33

Qiu, Xiaoping ; Lan, Cong ; Liu, J. et al. / Intelligent Course Design of Automatic Warehouse Based on Association Simulation. Lecture Notes on Data Engineering and Communications Technologies: Advances in Artificial Systems for Logistics Engineering. editor / Z. Hu ; Q. Zhang ; S. Petoukhov ; M. He. Vol. 135 Springer, 2022. pp. 367-378 (Lecture Notes on Data Engineering and Communications Technologies).

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abstract = "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{\textquoteright} 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.",

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author = "Xiaoping Qiu and Cong Lan and J. Liu and Jiong Chen",

note = "Funding 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. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

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Qiu, X, Lan, C, Liu, J & Chen, J 2022, Intelligent Course Design of Automatic Warehouse Based on Association Simulation. in Z Hu, Q Zhang, S Petoukhov & M He (eds), Lecture Notes on Data Engineering and Communications Technologies: Advances in Artificial Systems for Logistics Engineering. vol. 135, Lecture Notes on Data Engineering and Communications Technologies, vol. 135, Springer, pp. 367-378. https://doi.org/10.1007/978-3-031-04809-8_33

Intelligent Course Design of Automatic Warehouse Based on Association Simulation. / Qiu, Xiaoping; Lan, Cong; Liu, J. et al.
Lecture Notes on Data Engineering and Communications Technologies: Advances in Artificial Systems for Logistics Engineering. ed. / Z. Hu; Q. Zhang; S. Petoukhov; M. He. Vol. 135 Springer, 2022. p. 367-378 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 135).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Intelligent Course Design of Automatic Warehouse Based on Association Simulation

AU - Qiu, Xiaoping

AU - Lan, Cong

AU - Liu, J.

AU - Chen, Jiong

N1 - Funding 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. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022/4/29

Y1 - 2022/4/29

N2 - 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.

AB - 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.

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KW - Correlation simulation

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A2 - He, M.

PB - Springer

ER -

Qiu X, Lan C, Liu J, Chen J. Intelligent Course Design of Automatic Warehouse Based on Association Simulation. In Hu Z, Zhang Q, Petoukhov S, He M, editors, Lecture Notes on Data Engineering and Communications Technologies: Advances in Artificial Systems for Logistics Engineering. Vol. 135. Springer. 2022. p. 367-378. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-04809-8_33

Intelligent Course Design of Automatic Warehouse Based on Association Simulation

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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