English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62567/95223 (66%)
Visitors : 2523809      Online Users : 37
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/987654321/77282

    Title: The economic lot size of the integrated vendor-buyer inventory system derived without derivatives : A simple derivation
    Authors: Teng, Jinn-tsair;Cárdenas-Barrón Leopoldo Eduardo;Lou, Kuo-ren
    Contributors: 淡江大學管理科學學系
    Keywords: Integrated production inventory model;Economic order/production quantity;Arithmetic mean;Geometric mean;Without derivatives
    Date: 2011-02-15
    Issue Date: 2012-06-14 10:31:52 (UTC+8)
    Publisher: Philadelphia: Elsevier Inc.
    Abstract: In this paper, we first complement an inappropriate mathematical error on the total cost in two previous published research papers in inventory field. Then an arithmetic–geometric inequality method is proposed not only to simplify the algebraic method of completing prefect squares, but also to complement their shortcomings. In addition, we also provide a closed-form optimal solution to the integrated vendor–buyer inventory system without using complex derivatives. Finally, the proposed method seems to be easy-to-understand and simple-to-apply by individuals who are not familiar with differential calculus.
    Relation: Applied Mathematics and Computation 217(12), pp.5972-5977
    DOI: 10.1016/j.amc.2010.12.018
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File Description SizeFormat
    0096-3003_217(12)p5972-5977.pdf186KbAdobe 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