• DocumentCode
    633979
  • Title

    Inventory Prediction in a Food-Processing-and-Distribution Company

  • Author

    Chih-Chin Liang

  • Author_Institution
    Dept. of Bus. Adm., Nat. Formosa Univ., Huwei, Taiwan
  • fYear
    2013
  • fDate
    29-31 May 2013
  • Firstpage
    250
  • Lastpage
    251
  • Abstract
    A food-processing-and-distribution company typically stores products in a warehouse before shipping them to customers. Inventory management is therefore important to the food-processing-and-distribution industry because of the large amount of products typically stored. Large amounts of stored products increase inventory cost and management cost and can reduce warehouse efficiency. This study is important to build up a system to predict possible forthcoming inventory. This study surveyed experts to identify key issues associated with inventory management in the food-processing-and-distribution industry. Through this proposed prediction model, the best accuracy of inventory prediction could reach up to 66.3%. Through the sequential patterns based on expert opinions, the food-processing-and-distribution industry can manage inventory efficiently and accurately.
  • Keywords
    food processing industry; inventory management; warehousing; Inventory management; expert opinions; food distribution company; food processing company; inventory cost; inventory prediction model; management cost; sequential patterns; shipping; warehouse; Accuracy; Companies; IP networks; Industries; Inventory management; Predictive models; AHP; Inventory Management; Sequential Patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Science and Innovation (ICSSI), 2013 Fifth International Conference on
  • Conference_Location
    Kaohsiung
  • Type

    conf

  • DOI
    10.1109/ICSSI.2013.54
  • Filename
    6599398