淡江大學機構典藏:Item 987654321/20089
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62797/95867 (66%)
Visitors : 3735813      Online Users : 732
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/987654321/20089


    Title: A Continuous Review Inventory Model with Ordering Cost Dependent on Lead Time
    Authors: Chen, Cheng-kang;Chang, Hung-chi;歐陽良裕=Ouyang, Liang-yuh
    Contributors: 淡江大學經營決策學系
    Keywords: Inventory;Lead Time Reduction;Crashing Cost
    Date: 2001-09
    Issue Date: 2009-11-30 12:33:09 (UTC+8)
    Publisher: 淡江大學
    Abstract: This paper investigates the impact of lead time reduction on the modified continuous review inventory
    systems with a mixture of backorders and lost sales, where lead time and ordering cost reductions act
    dependently. The ob jective is to minimize the total related cost by simultaneously optimizing the order
    quantity, reorder point, and lead time. The lead time demand is assumed to be normally distributed.
    We first consider the case where the lead time and ordering cost reductions with linear function, then
    consider the logarithmic functional relationship. A procedure of finding the optimal solution is developed,
    and two numerical examples are given to illustrate the results.
    Relation: International journal of information and management Sciences 12(3), pp.1-13
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File SizeFormat
    0KbUnknown465View/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