Research on Intelligent Management Information System and Control Issues in Reverse Logistics
DOI:
https://doi.org/10.62051/ijgem.v7n3.16Keywords:
Reverse logistics, Intelligent management information system, Control issues, Logistics and supply chain management, Intelligent developmentAbstract
This paper focuses on the intelligent management information system and control issues in reverse logistics, thoroughly analyzing the current development status and challenges faced by reverse logistics. It elaborates on the architecture of the intelligent management information system and the application of key technologies. By employing logistics and supply chain management theories, such as supply chain collaboration theory and inventory control theory, the paper examines the problems existing in data processing, process coordination, and decision support within the system. Targeted solutions are proposed, including optimizing system architecture, strengthening data governance, and promoting supply chain collaboration, aiming to enhance the efficiency of reverse logistics management, reduce costs, and drive the intelligent and sustainable development of the reverse logistics industry. The study provides both theoretical and practical references for enterprises and industry development.
Downloads
References
[1] Rogers D S, Melamed B, Lembke R S. [Modeling and analysis of reverse logistics] [J]. Journal of Business Logistics, 2018, 39(2): 234-247.
[2] Li Yanfeng. Research on the Development Status and Countermeasures of Reverse Logistics in China [J]. China Circulation Economy, 2021, 35(3):12-21.
[3] Wang Changqiong. Reverse Logistics [M]. Beijing: China Materials Publishing House, 2018:45-50.
[4] Liu Weihua and Liu Xilong. Reverse Logistics Management [M]. Beijing: China Wealth Publishing House, 2017:33-40.
[5] Stock J R. [Reverse Logistics: Council of Supply Chain Management Professionals] [M]. Oak Brook: CSCMP, 2018: 89-95.
[6] Huang Yuanxin. Architecture design and implementation of intelligent logistics information platform [J]. Computer Application Research, 2020, 37(8):2286-2290.
[7] Dev N K, Shankar R, Qaiser F H. [Industry 4.0 and circular economy...] [J]. Resources, Conservation and Recycling, 2020, 153: 104583.
[8] Zhao Lindu. Smart Logistics and Supply Chain Information Management [M]. Beijing: Science Press, 2019:85-92.
[9] Zhang Xumei. Research on the Operation Optimization of Reverse Logistics Driven by Big Data [J]. Systems Engineering Theory and Practice, 2021, 41(4):1045-1056.
[10] Wang Yan. Construction of an Intelligent Decision System for Reverse Logistics in the E-commerce Environment [J]. Journal of Management, 2020, 17(5):743-751.
[11] Zhou Jianqin. Design of a Blockchain-based Reverse Logistics Information Traceability System [J]. Computer Integrated Manufacturing Systems, 2022, 28(1):267-276.
[12] Ma Shihua and Lin Yong. Supply Chain Management (6th Edition). Beijing: China Machine Press, 2020:130-135.
[13] Agrawal S, Singh R K, Murtaza Q. [A literature review...] [J]. Resources, Conservation and Recycling, 2015, 97: 76-80.
[14] Feng Gengzhong. Logistics and Supply Chain Finance (2nd Edition). [M]. Beijing: China Renmin University Press, 2021:170-180.
[15] Guide Jr V D R, Van Wassenhove L N. [The Evolution of Closed-Loop Supply Chain Research] [M]. Boston: Now Publishers, 2019: 70-78.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Global Economics and Management
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
