臺灣博碩士論文加值系統

對於存貨的管理，一直都是各企業們所關注的。近年來，豐田式生產管理，運用及時化生產系統所獲得的利益，更顯示出存貨管理上的重要性。及時化生產重視產品品質、縮短前置時間與小批量多次運送，並藉此來達到有效控制存貨。因此，供應鏈中買賣雙方間的密切合作是重要的。傳統的經濟生產/訂購批量在預測時，經常假設所有產品皆為良品，然而實際生產過程中卻會有一定數量的不良品產生並對總成本造成影響。
本研究主要為建構考慮不良品修復與前置時間的單一買方及單一賣方之整合性存貨模式，採等批量多次運送的方式將產品送交買方，以運送數量、運送次數、前置時間、再訂購點與設置成本為決策變數，找出最適的存貨決策法則，最後建立一套演算法並以數值範例加以說明與驗證。

To the inventory management, have all been what every enterprise pay close attention to all the time. In recent years, the Toyota type production management, use interests that just-in-time(JIT) Production System obtains, demonstrate inventory managerial importance even more. Just-in-time Production Syste pays attention to the size of quality of the products, reduction in lead time and small lot size, frequent deliveries. Reach effective inventory management by this. It is important to the supply chain of cooperation between the buyer and the vendor. Traditional inventory model is while predicting often supposes all products are good products, however, certain amounts of bad products will emerge and cause influence on the total cost in the real production process.
The purpose of this research is to develop the integrated inventory model for the single-buyer and the single-vendor which is consider by the bad products rework and lead time, use equal batch, frequent deliveries products to the buyer. The deliveries quantity, the number of deliveries, lead time, reorder point and setup cost are the variable decision. Find out the optimal inventory policies. Finally, set up a algorithms to find out the optimal solution, and the solution technique is illustrated with a numerical examples.

中文摘要 i
英文摘要 ii
目錄 iii
表目錄 v
圖目錄 vii
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 3
1.3 研究範圍與限制 3
1.4 研究架構 4
第二章 文獻探討 6
2.1 存貨的定義 6
2.2 整合性存貨系統相關文獻 7
2.3 含不良品的存貨系統相關文獻 7
2.4 前置時間相關文獻 8
2.5 含不良品且允許缺貨的存貨系統相關文獻 10
2.6 降低設置成本的相關文獻 11
第三章 考慮不良品修復時間之整合性存貨模式 12
3.1 模型符號與基本假設 12
3.2 模式建立 13
3.3 數值範例 17
3.4 敏感度分析 21
3.5 小結 25
第四章 可控制前置時間與不良品修復時間之整合性存貨模式 26
4.1 模型符號與基本假設 26
4.2 模式建立 27
4.3 數值範例 32
4.4 敏感度分析 37
4.5 小結 42
第五章 改善設置成本與前置時間之整合性存貨模式 43
5.1 模型符號與基本假設 43
5.2 模式建立 44
5.3 數值範例 49
5.4 小結 50
第六章 結論與未來研究方向 51
6.1 結論 51
6.2 未來研究方向 52
參考文獻 53
附錄
附錄A 56
附錄B 57
附錄C 58

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