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

Research Article

Establishment and Application of Small Batch Material Production Arrangement Model Based on Time Series

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334472,
        author={Li  Zhao and Xudong  Sha and Hui  Lv and Suwen  Sun},
        title={Establishment and Application of Small Batch Material Production Arrangement Model Based on Time Series},
        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={linear regression;time series analysis; programming solution;comprehensive evaluation index},
        doi={10.4108/eai.26-5-2023.2334472}
    }
    
  • Li Zhao
    Xudong Sha
    Hui Lv
    Suwen Sun
    Year: 2023
    Establishment and Application of Small Batch Material Production Arrangement Model Based on Time Series
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334472
Li Zhao1,*, Xudong Sha1, Hui Lv1, Suwen Sun2
  • 1: Zibo Normal College
  • 2: BinZhou Medical University
*Contact email: 274059998@qq.com

Abstract

The inventory management of multi-variety and small-batch material production is one of the important bases to maintain normal operation of manufacturing industry.This paper introduces a method of setting up the weekly forecast model of material demand to help enterprises make reasonable arrangement of material production.This model takes into account the comprehensive factors such as the predicted value of demand, the characteristics of demand, inventory and shortage quantity, so as to avoid the possible large inventory or shortage problem, improve the production efficiency and customer satisfaction, reduce the inventory cost, and bring economic benefits and competitive advantages for enterprises.

Keywords
linear regression;time series analysis; programming solution;comprehensive evaluation index
Published
2023-07-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.26-5-2023.2334472
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