Design of Universal Platform Architecture for Complex Discrete Storage System
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Satellite batch production line
Complex discrete production
Warehousing system
Architecture design
Flexibility
Microservices

DOI

10.26689/jera.v9i1.9451

Submitted : 2025-01-19
Accepted : 2025-02-03
Published : 2025-02-18

Abstract

The flexible satellite batch production line is a complex discrete production system with multiple cross-disciplinary fields and mixed serial parallel tasks. As the source of the satellite batch production line process, the warehousing system has urgent needs such as uncertain production scale and rapid iteration and optimization of business processes. Therefore, the requirements and architecture of complex discrete warehousing systems such as flexible satellite batch production lines are studied. The physical system of intelligent equipment is abstracted as a digital model to form the underlying module, and a digital fusion framework of “business domain + middleware platform + intelligent equipment information model” is constructed. The granularity of microservice splitting is calculated based on the dynamic correlation relationship between user access instances and database table structures. The general warehousing functions of the platform are divided to achieve module customization, addition, and configuration. An open discrete warehousing system based on microservices is designed. Software architecture and design develop complex discrete warehousing systems based on the SpringCloud framework. This architecture achieves the decoupling of business logic and physical hardware, enhances the maintainability and scalability of the system, and greatly improves the system’s adaptability to different complex discrete warehousing business scenarios.

References

Wang J, Du Y, 2019, Design and Implementation of Intelligent Warehouse Management System. Computer Technology and Development, 29(12): 189–193.

Zhen L, Haolin LI, 2022, A Literature Review of Smart Warehouse Operations Management. Frontiers of Engineering Management, 9(1): 25.

Zhao Q, Liu M, Zou Y, et al., 2023, Research and Application of Special Loading Warehouse Storage Management System. Aerospace Industry Management, 2023(09): 64–68.

Revillot-Narvaez D, Perez-Galarce F, Alvarez-Miranda E, 2020, Optimizing the Storage Assignment and Order-Picking for the Compact Drive-In Storage System. International Journal of Production Research, 58(22): 6949–6969.

Sharma R, 2021, Intelligent Warehousing Based on the Internet of Things Technology. Computing Reviews, 2021(4): 162–163.

Ye S, 2023, Research on Dynamic Adjustment and Quality Optimization of IoT Perceived Service Composition, thesis, North China University of Technology.

Leng JW, Yan DX, Liu Q, et al., 2019, Digital Twin-Driven Joint Optimization of Packing and Storage Assignment in Large-Scale Automated High-Rise Warehouse Product-Service System. International Journal of Computer Integrated Manufacturing, 09(29): 1–18.

Leung E, Lee C, Ouyang Z, 2022, From Traditional Warehouses to Physical Internet Hubs: A Digital Twin-Based Inbound Synchronization Framework for Pi-order Management. International Journal of Production Economics, 2022: 244–259.