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    题名: A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity
    作者: Ouyang, Liang-Yuh;Teng, Jinn-Tsair;Cheng, Mei-Chuan
    贡献者: 淡江大學管理科學學系
    关键词: inventory;deteriorating item;delay payments;fuzzy set;signed distance
    日期: 2010-01
    上传时间: 2013-10-21 15:47:00 (UTC+8)
    出版者: 臺北市:中央研究院資訊科學研究所
    摘要: 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.
    關聯: Journal of Information Science and Engineering 26(1), pp.231-253
    显示于类别:[經濟學系暨研究所] 期刊論文
    [管理科學學系暨研究所] 期刊論文


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