淡江大學機構典藏:Item 987654321/64915
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4128272      Online Users : 335
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/987654321/64915


    Title: Fuzzy mixture inventory model involving fuzzy random variable lead-time demand and fuzzy total demand
    Authors: 歐陽良裕;Chang, H. C.;Yao, J. S.
    Contributors: 淡江大學經營決策學系
    Keywords: Inventory;Lead time;Fuzzy random variable;Fuzzy total cost
    Date: 2006-02
    Issue Date: 2011-10-20 16:09:59 (UTC+8)
    Abstract: This article considers the mixture inventory model involving variable lead time with backorders and lost sales. We first fuzzify the random lead-time demand to be a fuzzy random variable and obtain the total cost in the fuzzy sense. Then, we further fuzzify the total demand to be the triangular fuzzy number and derive the fuzzy total cost. By the centroid method of defuzzification, we derive the estimate of total cost in the fuzzy sense. Also, we find the optimal solution for order quantity and lead time in the fuzzy sense such that the total cost has a minimum value. A numerical example is provided to illustrate the results of proposed model.
    Relation: European Journal of Operational Research 169(1), pp.65-80
    DOI: 10.1016/j.ejor.2004.04.044
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File Description SizeFormat
    Fuzzy mixture inventory model involving fuzzy random variable lead time demand and fuzzy total demand.pdf389KbAdobe PDF57View/Open
    index.html0KbHTML28View/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