Research on storage location classification model based on EIQ analysis

Xiaozhuo Zhao; Yueqin Yang

doi:10.1117/12.2658194

22 December 2022 Research on storage location classification model based on EIQ analysis

Xiaozhuo Zhao, Yueqin Yang

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124602N (2022) https://doi.org/10.1117/12.2658194
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

With the development of modern logistics industry, as an important part of warehouse logistics system, location planning plays an important role in ensuring the production and operation of enterprises, reducing storage costs and the error rate of orders. Aiming at the logistics of auto parts, this paper puts forward a storage location planning model of spare parts, considering the factors such as order data, transportation cost, transportation frequency and so on. Then, an allocation model is established based on EIQ analysis and classified storage principle, and the integer programming model is solved by lingo software. Finally, the validity and practicability of EIQ analysis and location planning model are verified by an example, which provides a theoretical basis and decision support for the location planning of spare parts warehousing enterprises.

Citation Download Citation

Xiaozhuo Zhao and Yueqin Yang "Research on storage location classification model based on EIQ analysis", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124602N (22 December 2022); https://doi.org/10.1117/12.2658194

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