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	Research on inventory management with fuzzy defective rate and fuzzy ordering cost
	Zhou Wei ; Jin Yi-hui
	2010-05-06 ; 2010-05-06
关键词	Practical/ fuzzy set theory inventory management lot sizing uncertain systems/ inventory management fuzzy defective rate fuzzy ordering cost imprecision problem uncertainties problems economic order quantity problem optimal order lot size profit maximization triangular fuzzy numbers signed distance/ E1010 Production management E0210E Combinatorial mathematics
中文摘要	To deal with the imprecision problem of product defective rate and various uncertainties problems of ordering costs which were inherent in actual inventory systems, economic order quantity (EOQ) problem with fuzzy defective rate and fuzzy ordering cost was studied. Firstly, the uncertainty existing in inventory management was described by using fuzzy theory, and then the fuzzy EOQ model with imperfect quality and fuzzy ordering cost was proposed. Thus the objective of the model was to determine the optimal order lot size to maximize the total profit. Then assuming that the defective rate and ordering cost were the triangular fuzzy numbers, the signed distance, a ranking method for fuzzy numbers, was used to de-fuzz the objective. After that an optimal lot sizing was proved, which could be reduced to the optimal lot sizing without uncertainties. And the corresponding profit per unit time was derived at the same time. Finally, a numerical example was provided to illustrate the results of proposed model. And by it, the influence of fuzziness of defective rate and ordering cost on the optimal lot sizing was also analyzed.
语种	中文 ; 中文
出版者	Editorial Department of CIMS ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9604]
专题	清华大学
推荐引用方式 GB/T 7714	Zhou Wei,Jin Yi-hui. Research on inventory management with fuzzy defective rate and fuzzy ordering cost[J],2010, 2010.
APA	Zhou Wei,&Jin Yi-hui.(2010).Research on inventory management with fuzzy defective rate and fuzzy ordering cost..
MLA	Zhou Wei,et al."Research on inventory management with fuzzy defective rate and fuzzy ordering cost".(2010).

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