English  |  正體中文  |  简体中文  |  Items with full text/Total items : 50122/85141 (59%)
Visitors : 7886132      Online Users : 66
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/19974


    Title: Retailer’s optimal pricing and lot-sizing policies for deteriorating items with partial backlogging
    Authors: Chang, H. J.;Teng, J. T.;歐陽良裕;Ouyang, Liang-yuh;Dye, C. Y.
    Contributors: 淡江大學經營決策學系
    Keywords: Pricing;Lot-sizing;Deteriorating items;Partial backlogging
    Date: 2006-01-01
    Issue Date: 2009-11-30 12:28:37 (UTC+8)
    Publisher: Amsterdam: Elsevier BV * North-Holland
    Abstract: Pricing is a major strategy for a retailer to obtain its maximum profit. Therefore, in this paper, we establish an economic order quantity model for a retailer to determine its optimal selling price, replenishment number and replenishment schedule with partial backlogging. We first prove that the optimal replenishment schedule not only exists but also is unique, for any given selling price. Next, we show that the total profit is a concave function of p when the replenishment number and schedule are given. We then provide a simple algorithm to find the optimal selling price, replenishment number and replenishment timing for the proposed model. Finally, we use a couple of numerical examples to illustrate the algorithm.
    Relation: European Journal of Operational Research 168(1), pp.51-64
    DOI: 10.1016/j.ejor.2004.05.003
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML288View/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