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序號 學年期 教師動態
1 86/2 公行系 吳坤山 講師 會議論文 發佈 MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT , [86-2] :MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT會議論文MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT涵括可變動前置時間和服務水準限制式的混合存貨模型Ouyang, Liang-Yuh; Wu, Kun-Shan淡江大學經營決策學系; 淡江大學公共行政學系臺北縣淡水鎮 : 淡江大學第五屆(98')海峽兩岸管理科學學術研討會論文集, pp.115-131淡江大學管理學院; 西安交通大學管理學院In this article, both lead time and the order quantity are considered as the decision variables of a mixture inventory model. Instead of having a stockout term in the objective fupction, a service level constraint, which implies that the stockout level per cycle is bourided, is added to the model. In our studies, we first assume that the lead time demand follows a normal distribution, and then we relax the assumption about the form of the distribution function of lead time demand and apply the minimax distribution free procedure to solve the problem. We develop an algorithm procedure, respectively, to find the optimal order quantity and optimal lead time. Furthermore, the
2 86/2 管科系 歐陽良裕 教授 會議論文 發佈 MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT , [86-2] :MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT會議論文MIXTURE INVENTORY MODEL INVOLVING VARIABLE LEAD TIME WITH A SERVICE LEVEL CONSTRAINT涵括可變動前置時間和服務水準限制式的混合存貨模型Ouyang, Liang-Yuh; Wu, Kun-Shan淡江大學經營決策學系; 淡江大學公共行政學系臺北縣淡水鎮 : 淡江大學第五屆(98')海峽兩岸管理科學學術研討會論文集, pp.115-131淡江大學管理學院; 西安交通大學管理學院In this article, both lead time and the order quantity are considered as the decision variables of a mixture inventory model. Instead of having a stockout term in the objective fupction, a service level constraint, which implies that the stockout level per cycle is bourided, is added to the model. In our studies, we first assume that the lead time demand follows a normal distribution, and then we relax the assumption about the form of the distribution function of lead time demand and apply the minimax distribution free procedure to solve the problem. We develop an algorithm procedure, respectively, to find the optimal order quantity and optimal lead time. Furthermore, the
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