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Analysis of Economic Order Quantity Under Fuzzy Environments

Analysis of Economic Order Quantity Under Fuzzy Environments
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摘要 In the economic order quantity (EOQ) model, the decision maker has vague information about holding cost, ordering cost and market demand. With these uncertainties characterized as fuzzy variables, a new formula is developed by analyzing the fuzzy total cost. By comparing with other four EOQ formulas, i.e., using the crisp numbers with the highest membership values in classic EOQ formula, using the expected values of fuzzy parameters in classic EOQ formula, using the fuzzy variables in classic EOQ formula and then calculating the expected value, and calculating EOQ by hybrid intelligent algorithm simulation, the effectiveness of this formula is illustrated. In the economic order quantity （EOQ） model, the decision maker has vague information about holding cost, ordering cost and market demand. With these uncertainties characterized as fuzzy variables, a new formula is developed by analyzing the fuzzy total cost. By comparing with other four EOQ formulas, i.e., using the crisp numbers with the highest membership values in classic EOQ formula, using the expected values of fuzzy parameters in classic EOQ formula, using the fuzzy variables in classic EOQ formula and then calculating the expected value, and calculat- ing EOQ by hybrid intelligent algorithm simulation, the effectiveness of this formula Js illustrated.
作者 王成 唐万生 赵瑞清
机构地区 Institute of Systems Engineering
出处 《Transactions of Tianjin University》 EI CAS 2010年第3期229-234,共6页 天津大学学报（英文版）
基金 Supported by National Natural Science Foundation of China (No. 70971092)
关键词 经济订货量 模糊环境 EOQ公式 经济订货批量 模糊变量 经济订购量 总成本 模糊信息 economic order quantity （EOQ） fuzzy variable fuzzy mapping
分类号 H315.9 [语言文字—英语]
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参考文献16

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共引文献3

Transactions of Tianjin University
2010年 第3期

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