IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v14y2018i2p56-76.html
   My bibliography  Save this article

Dynamic Performance and Stability Research of VMI-APIOBPCS in Apparel Industry Based on Control Theory

Author

Listed:
  • Xueli Zhan

    (College of Economic and Management, Tianjin University, Tianjin, China & School of Economics, Beijing Wuzi University, Beijing, China)

  • Qin Zhang

    (College of Economic and Management, Tianjin University, Tianjin, China)

  • Wenfeng Xie

    (College of Economic and Management, Tianjin University, Tianjin, China)

Abstract

In this article, the authors mainly investigate the dynamic performance of VMI-APIOBPCS (Vendor Manage Inventory-Automatic Pipeline Inventory and Order Based Production Control System) in the apparel industry. With the increasing importance of supply chain system integration, VMI-APIOBPCS can integrate various kinds of elements in the real operation, which is proved to be very effective in solving complex problems. Apparel supply chains have relatively more complicated dynamic behaviors because of the factors like volatile demand, the strong seasonality of sales and the large number of items with short life cycle or lacking historical data. In order to clear these behaviors, and come up with new ideas to solve present difficulties, the authors apply classic control theory to build up the model of VMI-APIOBPCS in apparel supply chain. They then analyze the dynamic performance of apparel supply chain and use Routh-Hurwitz Stability Criterion to analyze the stability on the expectation that the outcomes of our research can be useful in the practical occasions.

Suggested Citation

  • Xueli Zhan & Qin Zhang & Wenfeng Xie, 2018. "Dynamic Performance and Stability Research of VMI-APIOBPCS in Apparel Industry Based on Control Theory," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 14(2), pages 56-76, April.
  • Handle: RePEc:igg:jeis00:v:14:y:2018:i:2:p:56-76
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2018040104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Udenio, Maximiliano & Vatamidou, Eleni & Fransoo, Jan C., 2023. "Exponential smoothing forecasts: Taming the Bullwhip Effect when demand is seasonal," Other publications TiSEM 8fca6329-83b9-4a49-a2aa-e, Tilburg University, School of Economics and Management.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jeis00:v:14:y:2018:i:2:p:56-76. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.