淡江大學機構典藏:Item 987654321/92648
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/92648


    Title: A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity
    Authors: Ouyang, Liang-Yuh;Teng, Jinn-Tsair;Cheng, Mei-Chuan
    Contributors: 淡江大學管理科學學系
    Keywords: inventory;deteriorating item;delay payments;fuzzy set;signed distance
    Date: 2010-01
    Issue Date: 2013-10-21 15:47:00 (UTC+8)
    Publisher: 臺北市：中央研究院資訊科學研究所
    Abstract: The inventory problem associated with trade credit is a popular topic in which interest income and interest payments are important issues. Most studies related to trade credit assume that the interest rate is both fixed and predetermined. However, in the real market, many factors such as financial policy, monetary policy and inflation, may affect the interest rate. Moreover, within the environment of merchandise storage, some distinctive factors arise which ultimately affect the quality of products such as temperature, humidity, and storage equipment. Thus, the rate of interest charges, the rate of interest earned, and the deterioration rate in a real inventory problem may be fuzzy. In this paper, we deal with these three imprecise parameters in inventory modeling by utilizing the fuzzy set theory. We develop the fuzzy inventory model based on Chang et al.'s [1] model by fuzzifying the rate of interest charges, the rate of interest earned, and the deterioration rate into the triangular fuzzy number. Subsequently, we discuss how to determine the optimal ordering policy so that the total relevant inventory cost, in the fuzzy sense, is minimal. Furthermore, we show that Chang et al.'s [1] model (the crisp model) is a special case of our model (the fuzzy model). Finally, numerical examples are provided to illustrate these results.
    Relation: Journal of Information Science and Engineering 26(1), pp.231-253
    Appears in Collections:[Graduate Institute & Department of Economics] Journal Article
    [Department of Management Sciences] Journal Article

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