• DocumentCode
    477538
  • Title

    Study on a New System for Inventory Control

  • Author

    Xiaoyu Zhu ; Xiaojiu Li

  • Author_Institution
    Tianjin Polytech. Univ., Tianjin
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    718
  • Lastpage
    720
  • Abstract
    As we all know, inventory control is important in a clothing company and Agent Technology has become very popular in the last few years as a new approach to developing software systems. This paper study on a newt system for inventory control using planning and distributed agents in apparel industry. Multi Agent Systems (MAS), a term used to describe the incorporation of multiple types of agents into various systems, is a way of designing and implementing a system with the advantages of agent entities. We chose to use agents as a decision support tool for use in a Retail Inventory Management System. Since the management of inventory is crucial to the success of most companies, and since we see a potential major role for agents in the business process management MAS seems a likely choice for a decision support platform. This work stems from our prior work in simulating a MAS inventory system, then implementing the system for production use.
  • Keywords
    clothing industry; decision support systems; multi-agent systems; production engineering computing; stock control; agent technology; apparel indursty; business process management; clothing company; decision support tool; distributed agents; inventory control; multiagent systems; retail inventory management system; software systems; Costs; Data analysis; Decision making; Decision support systems; Demand forecasting; Humans; Inventory control; Inventory management; Predictive models; Production systems; Decision Support Systems; Distributed Agents; Inventory Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.143
  • Filename
    4659581