本文選題：項目型制造 + 備件分類��； 參考：《浙江理工大學》2017年碩士論文

【摘要】：項目型制造企業(yè)是一種為了配套客戶的項目所需而設計制造產(chǎn)品的企業(yè),其產(chǎn)品的特點是定制性較強、通用性差、需求難以預測、訂貨周期長,導致其用于維修、保養(yǎng)的備件管理相對于其他行業(yè)更具復雜性。為有效、合理地管理項目型制造產(chǎn)品的備件,本文對項目型制造業(yè)的備件管理的理論與方法進行了系統(tǒng)研究,并結(jié)合停車設備的備件管理,對論文所提出的理論進行了驗證與應用,論文的主要內(nèi)容包括:(1)分析項目型制造產(chǎn)品的備件管理的特殊性與復雜性,綜合備件的重要性與需求頻率維度,提出了基于AHPABC的備件分類理論,并應用實際案例對備件分類理論進行驗證。(2)分析現(xiàn)有各類預測理論在不同類型的備件需求預測上的適用性。針對AB類備件,運用指數(shù)平滑法進行預測,并分析了平滑系數(shù)與預測精度的相關性,給出了較合適的平滑系數(shù);針對CD類備件,提出了基于外部因素協(xié)變量的可靠性需求預測模型,并給出了針對外部因素協(xié)變量的線性回歸預測理論。(3)闡述了備件中心的功能與重要性,綜合重心法,提出了考慮總成本與服務水平的多目標備件中心選址模型,最后,運用遺傳算法對模型進行求解并驗證。(4)討論了多分類備件庫存控制方法,通過分析庫存控制策略在不同類型備件上的適用性,提出了基于定點訂貨(s,S)的A類備件庫存控制模型、基于安全庫存(R,Q)的B類備件庫存控制模型、基于定期訂貨(t,S)的C類備件庫存控制模型與允許缺貨(S-1,S)的D類備件庫存控制模型。
[Abstract]:The project-based manufacturing enterprise is a kind of enterprise that designs and manufactures the products for the purpose of supporting the customer's project. Its products are characterized by strong customization, poor generality, unpredictable demand and long ordering period, which result in its being used for maintenance.Spare parts management for maintenance is more complex than other industries.In order to manage the spare parts of the project-based manufacturing products effectively and reasonably, the theory and method of the spare parts management in the project-based manufacturing industry are systematically studied in this paper, and combined with the spare parts management of the parking equipment,The main contents of this paper are as follows: (1) analyzing the particularity and complexity of spare parts management of project-based manufacturing products, the importance and demand frequency dimension of integrated spare parts.In this paper, the theory of spare parts classification based on AHPABC is put forward, and the theory of spare parts classification is verified by an actual case, and the applicability of existing prediction theories in different types of spare parts demand prediction is analyzed.For AB spare parts, the exponential smoothing method is used to predict, and the correlation between smoothing coefficient and prediction accuracy is analyzed, and a more suitable smoothing coefficient is given.The reliability demand forecasting model based on external factor covariable is put forward, and the linear regression prediction theory for external factor covariable is given. The function and importance of spare parts center are expounded, and the comprehensive center of gravity method is presented.A multi-objective spare parts center location model considering the total cost and service level is proposed. Finally, the genetic algorithm is used to solve the model and verify the multi-class spare parts inventory control method.By analyzing the applicability of inventory control strategy to different types of spare parts, this paper puts forward a class A spare parts inventory control model based on fixed-point ordering and a B type spare parts inventory control model based on safety inventory.Class C spare parts inventory control model and class D spare parts inventory control model based on regular orders (S / S) and S / S / S).
【學位授予單位】：浙江理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F274;F425

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