Construction and Optimization of Investment Return Model for Logistics Robots in Warehouse Automation Upgrade

Jinhao Lao; Wanping Du

doi:10.62051/ijgem.v10n6.08

Authors

Jinhao Lao School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China
Wanping Du School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China

DOI:

https://doi.org/10.62051/ijgem.v10n6.08

Keywords:

Warehouse automation, Logistics robots, Return on investment (ROI), Model optimization

Abstract

With the rapid development of the logistics industry, warehouse automation upgrades have become crucial for improving logistics efficiency and competitiveness. As a key component of warehouse automation, the return on investment (ROI) of logistics robots has attracted considerable attention. This paper aims to construct an ROI model for logistics robots in the context of warehouse automation upgrades, and through optimization analysis of the model, to provide a scientific basis for enterprises in making investment decisions regarding logistics robots. First, it elaborates on the background of warehouse automation upgrades and the current state of logistics robot applications, and analyzes the importance of constructing an ROI model. Next, it introduces the model construction process in detail, including cost analysis, benefit analysis, and the assumptions and simplifications of the model. Then, the model is validated and analyzed using a real case study, and the key factors affecting the ROI are discussed. Finally, based on the results of the model analysis, strategies and recommendations for optimizing the ROI of logistics robots are proposed, offering a reference for warehouse automation upgrades in warehousing enterprises.

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References

[1] Zhong, Y., Liu, J., Du, B., et al. (2021). Planning and construction of automatic logistics system for the fermentation of Yunnan tobacco leaves. Logistics & Material Handling, 26(9), 136–139.

[2] Bai, G. (2023). Research on the development of cold chain warehouse automation technologies. Logistics & Material Handling, 28(S1), 74–76.

[3] Zhang, X. (2021). A Brief Discussion on Warehouse Automation in Logistics Centers in China. Petroleum & Petrochemical Material Procurement, (27), 13–15.

[4] Chen, Y. (2024). Application of Warehouse Automation and Intelligent Technology Based on RFID. Heilongjiang Science, 15(4), 66–69.

[5] Li, B. (2008). Robots enter logistics, logistics moves towards efficiency. China Storage & Transport, (5), 43.

[6] Yan, Y., Hou, Y., & Cao, Y. (2021). Analysis of the Problems and Countermeasures in the Application of Warehouse Logistics Robots. Electronic Test, (12), 114–116.

[7] Huang, H. (2018). Research on Multi-AGV Control System and Scheduling Algorithm for Warehouse Automation [Master’s thesis]. Xiamen University.

[8] Zhang, J. (2025). Optimum Design of Industrial Robot Storage Based on Neural Network. Modern Manufacturing Technology and Equipment, 61(1), 213–215.

[9] Kang, C., Yan, J., Yang, H., & Lu, W. (2020). Research on Path Planning Based on Logistics Robot. Software, 41(3), 144–148.

[10] Yang, Z. (2022). Research on the Return On Investment Model of 500kV Power Grid Infrastructure [Master’s thesis]. Northeast Agricultural University.

[11] Wang, Z., & Song, H. (2019). Analysis of Investment Return of Small and Medium-sized Airlines Fleet Based on ERP. Science Technology and Industry, 19(5), 90–93.

[12] Jiang, L. (2016). Research on Information Management of Small and Medium sized Enterprises in China Based on ERP. Modern Business Trade Industry, 37(2), 66–67.

[13] Wang, S. (2009). Discussion on the Introduction of Real Option Value in the Net Present Value Method. Commercial, (25), 91–92.