本文選題：(R + Q)補貨策略�。� 參考：《中國民航大學》2017年碩士論文

【摘要】：庫存成本是企業(yè)生產(chǎn)經(jīng)營活動中的重要組成部分,也是庫存管理的重要內(nèi)容。傳統(tǒng)的庫存問題通常將訂貨提前期或產(chǎn)品需求視為隨機變量,通過收集樣本數(shù)據(jù)應(yīng)用概率論方法進行研究。然而在民航生產(chǎn)實踐中,飛機結(jié)構(gòu)件更新后由于缺乏歷史運營數(shù)據(jù),其分布函數(shù)無法獲得。假如用概率論來處理這種現(xiàn)象可能會得到不合理的結(jié)果。因此,本文以不確定理論為基礎(chǔ),考慮不確定環(huán)境下的庫存優(yōu)化策略具有實際意義。具體內(nèi)容可以歸納如下:第一,建立不確定提前期環(huán)境下的連續(xù)性(R,Q)庫存模型。假定需求率是一個常數(shù),訂貨提前期為一個不確定變量并且服從不確定分布,決策變量為訂貨點和訂貨量,以庫存系統(tǒng)平均成本最小為目標函數(shù),建立庫存成本的數(shù)學模型。最后,進行實例分析,得出模型的各參數(shù)對庫存成本和最優(yōu)訂貨點都有著顯著影響。第二,建立不確定隨機需求環(huán)境下的周期性(T,Q)庫存模型。假設(shè)某零部件在原有設(shè)備的需求為隨機變量,在新設(shè)備中該零部件的未來需求為不確定變量,在原設(shè)備和新設(shè)備中該零部件需求是相互獨立的,并且允許缺貨,給定總的需求服從機會分布,建立總利潤最大化的數(shù)學模型,得到最優(yōu)訂貨量的解析解。最后,通過數(shù)值算例進行具體分析,結(jié)果表明最優(yōu)訂貨量會隨著需求、貨物成本、貨物存儲費用的變化而變化。
[Abstract]:Inventory cost is an important part of enterprise production and management, and also an important content of inventory management. The traditional inventory problem usually regards the lead time or product demand as random variables, and applies probability theory to research by collecting sample data. However, in the practice of civil aviation production, the distribution function of aircraft structural parts can not be obtained because of the lack of historical operation data. If we deal with this phenomenon with probability theory, we may get unreasonable results. Therefore, based on uncertainty theory and considering inventory optimization strategy in uncertain environment, this paper has practical significance. The specific contents can be summarized as follows: first, establish a continuous inventory model under uncertain lead time environment. Assuming that the demand rate is a constant, the lead time of order is an uncertain variable and the distribution of service is uncertain, the decision variable is order point and order quantity, and the minimum average cost of inventory system is taken as the objective function, the mathematical model of inventory cost is established. Finally, a case study shows that the parameters of the model have a significant impact on the inventory cost and the optimal ordering point. Secondly, the periodic TQs inventory model under the uncertain stochastic demand environment is established. Assuming that the demand for a component in the original equipment is a random variable, that the future demand for the component is an uncertain variable in the new equipment, that the demand for the component in the original equipment and the new equipment is independent of each other, and that the stock is allowed to be out of stock. Given the total demand service from the opportunity distribution, the mathematical model of maximizing the total profit is established, and the analytical solution of the optimal order quantity is obtained. Finally, through numerical examples, the results show that the optimal order quantity will vary with the demand, the cost of goods, and the cost of goods storage.
【學位授予單位】：中國民航大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F274;O227

【參考文獻】

相關(guān)期刊論文 前5條

1 傅濤,楊勇智;航空備件訂購策略研究[J];航空維修與工程;2005年02期

2 鞏艷芬,任偉宏;設(shè)備更新的最優(yōu)策略及馬爾可夫決策[J];統(tǒng)計與決策;2004年12期

3 林勇,馬士華;基于隨機提前期的通用件安全庫存管理[J];工業(yè)工程與管理;2003年03期

4 羅兵,楊秀苔,熊中楷;隨機狀態(tài)下需求均值為線性函數(shù)時的EOQ模型[J];重慶大學學報(自然科學版);2002年05期

5 馬士華,林勇;基于隨機提前期的(Q,r)庫存模型[J];計算機集成制造系統(tǒng)-CIMS;2002年05期

相關(guān)碩士學位論文 前1條

1 李玉容;隨機訂貨提前期的供應(yīng)鏈庫存優(yōu)化[D];中南大學;2010年

，

本文編號：1850185