ASIA unversity:Item 310904400/3900
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21670156      Online Users : 573
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3900


    Title: The Study of the Bullwhip Effect in the Supply Chain by Using a Stochastic Process
    Authors: Chen Xiao Lan
    Contributors: Department of Computer Science and Information Engineering
    Keywords: Bullwhip effect;Supply chain management;Stochastic process
    Date: 2003
    Issue Date: 2009-11-18 13:13:05 (UTC+0)
    Publisher: Asia University
    Abstract: In the field of supply chain management, there is a phenomenon worth paying attention to, which is called the bullwhip effect. Due to distorted information, the variance of upstream inventory demand is greater than the variance of real consumer demand. Then, it causes the whole total cost of supply chain to promote as the cost is
    increased.
    In this research we quantify this effect by three-level supply chains consisted of a single consumer, a single retailer, and a single manufacturer. In order to conform the real situation in the supply chain, this study considers uncertain factors and takes advantage of a stochastic process to observe each time period of demand, and quantify the bullwhip effect. We also can acquire the better estimation of lower bound when the variance of order is related to the variance of demand.
    We test our model by analyzing on cosmetics and medicine drugstore supply chain. The result shows that we can acquire the efficient lower bound estimation in bullwhip effect and then manage supply chain effectively when our model is bigger in n (period)
    and P (time period) is smaller in proportion to n. In the future, the study anticipates applying in the area of ordering tickets on-line (ex: the system of the ERA tickets), ISP (ex: network throughput), and stock market of finance (ex: the price fluctuation of stock).
    We hope that we can realize the industry of real situation in the supply chains by this research, and then manage the bullwhip effect effectively.
    Appears in Collections:[Department of Computer Science and Information Engineering] Theses & dissertations

    Files in This Item:

    File SizeFormat
    0KbUnknown428View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback