Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Optimization Analysis of Auto Parts Inventory Management Based on Fuzzy Evaluation Method

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334266,
        author={Dong  XU},
        title={Optimization Analysis of Auto Parts Inventory Management Based on Fuzzy Evaluation Method},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={automobile production enterprise; auto parts; inventory management; fuzzy evaluation method},
        doi={10.4108/eai.26-5-2023.2334266}
    }
    
  • Dong XU
    Year: 2023
    Optimization Analysis of Auto Parts Inventory Management Based on Fuzzy Evaluation Method
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334266
Dong XU1,*
  • 1: Wuxi Vocational Institute of Commerce
*Contact email: xd1228@126.com

Abstract

Warehouse center mode is the main way for the development of the automobile logistics industry, which not only provides professional services for the supply of spare parts, but also enables its own warehousing department to operate independently and realize industrial value-added. How to make its management level and informationization level reach the best becomes the key issue for the survival and development of enterprises. Taking the warehouse center of the automobile manufacturing enterprise as the research object, the current situation of the enterprise is analyzed, and the deficiencies of the management system in the enterprise are optimized. The ABC classification method is combined with the fuzzy evaluation method and applied to the inventory classification of the automobile parts. The deficiencies in the management mode and method are optimized, and a reasonable inventory classification model is established to realize the classification management of goods. Improve the information level of parts management.