English  |  正體中文  |  简体中文  |  Items with full text/Total items : 63187/95884 (66%)
Visitors : 4568554      Online Users : 269
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/69221


    Title: Optimal ordering and transfer policy for an inventory with stock dependent demand
    Authors: Goyal, Suresh Kumar;Chang, Chun-Tao
    Contributors: 淡江大學統計學系
    Keywords: Inventory;Transfer;Stock dependent demand
    Date: 2009-07
    Issue Date: 2011-10-23 16:38:50 (UTC+8)
    Publisher: Amsterdam: Elsevier BV * North-Holland
    Abstract: This paper deals with an ordering-transfer inventory model to determine the retailer’s optimal order quantity and the number of transfers per order from the warehouse to the display area. It is assumed that the amount of display space is limited and the demand rate depends on the display stock level. The objective is to maximize the average profit per unit time yielded by the retailer. The proposed models and algorithms are developed to find the optimal strategy by retailer. Numerical examples are presented to illustrate the models developed and the sensitivity analysis is also reported.
    Relation: European Journal of Operational Research 196(1), pp.177-185
    DOI: 10.1016/j.ejor.2008.02.029
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML57View/Open
    Optimal ordering and transfer policy for an inventory with stock dependent demand.pdf235KbAdobe PDF1View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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