臺灣博碩士論文加值系統

汽車零配件製造業一直是個半封閉的大型產業，一般產業的供應鍊管理在此產業上將受到不同程度的限制。供應商與製造商之間除了契約的約束外，實際的物料採購才是最重要的管理工作。本研究分為兩部分，主要是研究本個案目前實際物料的採購作業之相關成本，並建立最佳採購數量模型，最後再進行最佳採購數量模型導入後的相關成本與原相關成本差異。第二部份，確認了最佳採購數量模型後，同時將其它生產成本進行數值調整分析，以深入探討此模型之可行性。本研究是以位在中國東筦之台灣汽車電子零配件製造商WIESON科技作為個案研究對象。
本研究結論如下：
一、依據實際需求數量與交貨時間分析，計算出各項物料的平均日需求與平均到貨期，計算出其標準差。接下來將生產此產品的設置成本與持有成本考等考慮後求出實際的採購成本。
二、以本研究之最佳採購數量模型計算每個物料的最佳批次採購數量，再與上述之生產相關成本進行計算後兩者進行比較。最佳採購數量模型能有效的將批次物料採購總成本降低22至30個百分點。
三、在研究本產業中發現，因為汽車製造商所出廠的車輛必須要有百分之百的品質良率，此為保固期。因此供應商所提供的零組件是不被允許發生品質不良與延遲交貨。若發生此種情形，該供應商將很困難在本產業中再次取得合格供應商資格，因此在本研究限制範圍內，此風險極低。但在本研究所提出之模型中仍將此風險一併考慮。
四、在得知依據本研究所提出之最佳採購模型可降低本案實際採購成本情形下，為更進一步的驗證本模型之可參考性，針對設置成本、持有成本提高或降低以及物料供應商的交貨期準確度的狀況進行數值調整。分析數值的變動後證明，依據此模型調整數值後，將影響最佳採購數量，並正確有效的降低採購成本。
依據本研究所提出之最佳採購數量模型，將可以協助本個案企業達到採購成本最小化，以符合實際資材單位採購前的決策參考依據模型。

Automotive parts industry is always a semi-closed big industry. The general industry’s supply chain is limited to different extent by this industry. Apart from the limitation of the contract between suppliers and manufacturers, the practical materials purchasing is the most important management job. The research is divided into two parts, mainly studying the relevant cost of purchasing operation of the current practical materials of the individual case, and then establishing the best purchasing quantity model, finally studying the difference between the relevant cost and the original cost after introducing the best purchasing quantity model. The second part is about analyzing and adjusting values of other production costs to further explore the feasibility of the model. WIESON, the automotive electronics parts manufacturers of Taiwan, located in Dongguan of mainland China, is took by the research as the object of the individual case.
The research’s conclusions are as follows:
1. Analysis quantity and lead time of delivery actual demand, calculate out its standard deviation with reach the goods one equally in demand on average day to calculate out every supplier. And then ask out the real purchase cost after producing the establishment cost of this product and holding cost to test.
2. The best batch calculating each of supplier with the model of best quantity of purchase in this research purchase the quantity , compare this two and then correlate with above-mentioned production the cost is calculated . Best purchase quantity model can purchasing batch supplier total cost reduce 22 to 30 percentage effective.
3. In this industry, because the automobile company is dispatched from the factory the vehicle must have a hundred per cent good rate of quality, in order to protect the firm. So the flaw not allow to happen and defer delivery in supplier' part offered. If this kind of situation takes place, it is very difficult for this supplier to obtain the qualified supplier's qualification again in this industry, so in this range of limiting of research, this risk is extremely low. But will this risk consider in the lump among model that this research institute put forward this.
4. In this research learning that the best purchase model put forward according to this case can reduce the real purchase cost situation, but reference of a model of verification that it is further, carry on number value adjustment to the state of set up cost, holding cost and delivery date accuracy of supplier. Prove after analysis the change of number value, after adjusting number value according to this model , will influence and purchase the quantity best, and correct and effective reducing purchase cost.
According to the model of best quantity of purchase which this research institute puts forward, can help a case enterprise to reach the purchase cost to minimize, the decision before the goods, materials and equipments unit purchases in order to correspond to reality will be consulted according to the model.

謝誌
中文摘要
英文摘要
目錄
表目錄
圖目錄
第一章 緒論
第一節 研究背景
第二節 研究動機
第三節 研究目的
第四節 研究流程
第五節 研究範圍
第二章 文獻探討
第一節 存貨模式探討
第二節 需求的預測
第三節 採購的風險管理
第三章 模型發展
第一節 問題描述
第二節 需求預測
第三節 到貨不確定處理
第四節 模型建立
第四章 個案分析
第一節 個案探討
第二節 敏感度分析

第五章 結論與建議
第一節 研究結論
第二節 研究建議
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