本文選題：設備維修 + 備件　； 參考：《沈陽工業(yè)大學》2016年碩士論文

【摘要】：隨著經濟的迅猛發(fā)展,制造型企業(yè)對生產自動化的熱情迅速升溫,對機器設備的依賴越來越大,對機器設備的管理要求越來越嚴苛。高速運轉的機器設備需保養(yǎng)與維護,老舊零件需及時更新替換,為此企業(yè)需要儲備充足的設備維修備件。但從企業(yè)整體運營的角度考慮,備件庫存不僅要滿足設備維修的需求,保證生產順利進行,也要節(jié)約庫存成本,降低庫存數量,保證企業(yè)資金流動。因此,設備維修的備件庫存控制研究已逐漸成為許多學者和企業(yè)人重要的研究方向。本文以B公司動力總成工廠發(fā)動機總裝生產線設備維修的備件為研究對象,首先基于80/20法則以備件歷史需求頻次為分類準則,將現有備件分為確定型消耗備件和隨機型消耗備件。采用泊松分布方法預測隨機型消耗備件需求,求出需求量所對應的需求概率。應用(s,S)的訂貨策略,以隨機型消耗備件庫存成本最小為目標函數,服務水平為約束條件,構建隨機型最優(yōu)庫存控制模型,利用馬爾可夫狀態(tài)轉移矩陣求解最優(yōu)訂貨點s和最大庫存值S,并通過編程實現數學模型的求解。其次,以發(fā)動機總裝生產線總裝工段設備維修備件為例,求解部分備件最優(yōu)訂貨點s和最大庫存值S,與原有庫存總成本對比,表明本文方法可在保證服務水平為約束條件下顯著降低庫存成本,在備件庫存控制方面具有顯著的效益提升。最后,結合設備維修模式改善設備維修備件庫存管理模式,改善設備維修備件庫存管理流程,提出改善后的設備維修備件管理要求,為未來設備維修備件庫存控制系統(tǒng)化操作和在B公司內部的其他備件管理部門推廣奠定基礎。
[Abstract]:With the rapid development of economy, the enthusiasm of manufacturing enterprises for production automation is rising rapidly, the dependence on machinery and equipment is becoming more and more heavy, and the management requirements of machinery and equipment are becoming more and more stringent. High-speed running machinery and equipment need to be maintained, old parts need to be updated and replaced in time, enterprises need to reserve sufficient equipment maintenance spare parts. But from the point of view of the whole operation of the enterprise, spare parts inventory should not only meet the requirement of equipment maintenance and ensure the smooth production, but also save the cost of inventory, reduce the quantity of inventory, and ensure the capital flow of the enterprise. Therefore, the research of spare parts inventory control in equipment maintenance has gradually become an important research direction for many scholars and enterprises. In this paper, the spare parts of engine assembly line equipment maintenance in powertrain factory of B Company are taken as the research object. Firstly, based on the 80 / 20 rule, the frequency of spare parts' historical demand is taken as the classification criterion. The existing spare parts are divided into certain consumption spare parts and random consumption spare parts. Poisson distribution method is used to predict the demand of random consumption spare parts and the corresponding demand probability is obtained. Based on the (sans) ordering strategy, the stochastic optimal inventory control model is constructed with the objective function of minimum inventory cost of spare parts consumed by random type and the level of service as the constraint condition. The Markov state transition matrix is used to solve the optimal ordering point s and the maximum inventory value S, and the mathematical model is solved by programming. Secondly, taking the spare parts of the assembly section of the engine assembly line as an example, the optimal ordering point s and the maximum inventory value S of some spare parts are solved, which is compared with the total cost of the original inventory. The results show that the proposed method can significantly reduce the inventory cost and improve the efficiency of spare parts inventory control under the constraint of service level. Finally, combined with the equipment maintenance mode to improve the equipment maintenance spare parts inventory management mode, improve the equipment maintenance spare parts inventory management process, put forward the improved equipment maintenance spare parts management requirements, For the future equipment maintenance spare parts inventory control systematization operation and other spare parts management within company B to promote the foundation.
【學位授予單位】：沈陽工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TH17

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