Paper
20 February 2024 Research on the inventory control of electric multiple units spare parts considering lateral transshipments
Jiantao Zheng, Jie Xu
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641M (2024) https://doi.org/10.1117/12.3016052
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
EMU spare parts are important materials to ensure the safe and stable operation of EMUs, which need to maintain a relatively high level of inventory. Besides EMU spare parts center inventory management is relatively independent, while the spare parts replenishment lead time is volatile, such as imported parts are easy to supply untimely. In this paper, we study the problem of inventory control of EMU spare parts, formulate a reasonable inventory level to ensure supply, and reduce the risk of stock-outs. Introduce transshipment to realize inventory sharing among EMU spare parts centers to reduce inventory costs, and we consider the impact of replenishment cycle differences on the stochastic demand for EMU spare parts. The study shows that there is a unique optimal inventory level under the transshipment model, and the corresponding inventory levels should be set according to different replenishment lead times. The transshipment inventory model under centralized decision-making reduces the out-of-stock quantity while reducing the total cost compared to the non-transshipment inventory model under decentralized decision-making.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiantao Zheng and Jie Xu "Research on the inventory control of electric multiple units spare parts considering lateral transshipments", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641M (20 February 2024); https://doi.org/10.1117/12.3016052
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KEYWORDS
Lead

Decision making

Stochastic processes

Control systems

Education and training

Statistical analysis

Systems modeling

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