臺灣博碩士論文加值系統

大量客製化的新經濟模式已成為21世紀的世界主流，而延遲則是實現大量客製化最有效的方法。對於損耗性商品傳統的存貨模式已不再適用，由於損耗性存貨會產生額外的成本，若不加入損耗性的因素探討，就會造成存貨模式結構的不正確，而作出錯誤的決策導致更大的損失。許多企業為了提高市場占有率和刺激市場需求，往往會提供給買方一個延遲時間來支付採購成本，以增加訂購量，此方式稱為延遲付款，這是一個非常普遍的商業慣例。
本研究目的在於：單一零售商的損耗性存貨在允許缺貨的環境下，根據延遲策略與延遲付款的概念，將參數進行定義並建構損耗性數學模式，求取合理的存貨週期與訂購數量，探討延遲策略對損耗性存貨之影響，最後藉此找出適合零售商的訂購策略。

The mass customization has become a mainstream of the world at the 21st century. Delay strategy is the best effective way to achieve mass customization. It’s improper to application of traditional inventory model for the deteriorating item, because it will generate additional costs of deteriorating items. Suppliers provide a time for retailer to delay in pay purchase cost, this is called credit payment, which is a common business practices.
The purpose of this paper is to develop order strategies for retailers. Follow the postponement concept to build a deteriorating inventory model with permissible delay in payments.

封面內頁
簽名頁
中文摘要..................................iii
英文摘要...................................iv
誌謝.......................................v
目錄......................................vi
圖目錄..................................viii
表目錄....................................ix

第一章 緒論................................1
1.1 研究背景與動機..........................1
1.2 研究目的與範圍..........................3
1.3 研究方法與步驟..........................4
1.4 研究流程與架構..........................5
第二章 文獻探討............................8
2.1 供應鏈管理.............................8
2.2 延遲策略...............................9
2.3 損耗性存貨.............................10
2.4 延遲付款...............................12
第三章 數學模式建構........................14
3.1 模型基本假設與系統參數..................14
3.2 存貨水準之推導.........................16
3.3 各項存貨成本之推導......................18
第四章 模型最佳解..........................25
4.1 模型求解...............................25
4.2 數值驗證...............................27
4.3 敏感度分析.............................33
4.3.1 M<t_2，case1.下的敏感度分析...........33
4.3.2 M<t_2，case2.下的敏感度分析...........36
4.3.3 M≥t_2下的敏感度分析...................39
4.4 本章結論...............................42
第五章 結論及未來研究方向...................43
5.1 結論..................................43
5.2 未來研究方向...........................44
參考文獻...................................45

圖目錄

圖1.1 研究流程架構.............................................7
圖3.1 存貨與時間的關係圖.......................................17
圖3.2 延遲付款期限M<t_2.......................................20
圖3.3 延遲付款期限M小於t_1.....................................21
圖3.4 延遲付款期限M大於t_1.....................................21
圖3.5 延遲付款期限M大於t_2.....................................23
圖4.1 M<t_2，case1.下M對t_2與t_4的影響........................30
圖4.2 M<t_2，case2.下M對t_2與t_4的影響........................31
圖4.3 M≥t_2下M對t_2與t_4的影響.................................31
圖4.4 M對三種情況下訂購量Q的影響.................................32
圖4.5 M對各情況下TC的影響.......................................32

表目錄

表2.1 損耗性存貨的分類..........................................1
表2.2 損耗性相關文獻之彙整......................................12
表2.3 延遲付款相關文獻之彙整....................................13
表3.1 研究情境整理.............................................15
表3.2 系統參數................................................15
表4.1 生產銷售系統各參數.......................................28
表4.2 當M<t_2，case1.下驗證...................................29
表4.3 當M<t_2，case2.下驗證...................................29
表4.4 當M≥t_2情況下驗證.......................................29
表4.5 當M<t_2，case1.情況下的訂購量Q與總成本TC..................30
表4.6 當M<t_2，case2.情況下的訂購量Q與總成本TC..................30
表4.7 當M≥t_2情況下的訂購量Q與總成本TC..........................30
表4.8 M<t_2，case1.情況下的敏感度分析..........................33
表4.9 M<t_2，case2.情況下的敏感度分析..........................36
表4.10 M≥t_2情況下的敏感度分析.................................39

參考文獻

中文部分：

1.王在欣 （2004），需求不確定下供應鏈延遲策略最適化之研究，國立成功大學工業管理研究所碩士論文。
2.杜佳靜 （2007），推遲策略為供應鏈管理帶來好運，品質月刊，43(4)，62-64。
3.周宏志 （2000），快速回應系統一次訂貨環境下之時間延遲效果研究，國立中央大學工業管理研究所碩士論文。
4.苑波，汪傳旭 （2010），延遲支付下易損產品供應鏈訂貨與價格決策模型，工業工程，13(1)，25-30。
5.張正祥，劉圓圓 （2007），供應鏈環境下易腐商品庫存控制策略，工業工程，10(5)，110-113。
6.黃毓瑩 （2001），動態環境下的延遲決策－以標準化、模組化為例，國立中山大學企業管理學系碩士論文。
7.黃惠民，楊伯中，石志強 （2002），在延遲付款期限下的損耗性存貨模式，工業工程學刊，19(6)，116-128。
8.蔡美賢 （2008），需求與存貨水準相關之退化性產品的最適生產策略，管理科學研究，5(1)，99-108。
9.蘇冠銘 （2009），在延遲付款條件下考慮部分欠撥之退化性商品貨存貨模式，國立雲林科技大學工業工程與管理研究所碩士論文。

英文部分：

1.Alderson, W. (1950). Marketing efficiency and the principle of postponement. Cost and Profit Outlook, 3(4), 15-18.
2.Aggarwal, S. P. and Jaggi, C. K. (1995). Ordering policies of deteriorating items under permissible delay in payments. Journal of the Operational Research Society, 46, 658-662.
3.Balkhi, Z. T. (2001). On a finite horizon production lot size inventory model for deteriorating items: An optimal solution. European Journal of Operational Research, 132, 210-223.
4.Christopher, M. (1998). Logistics and supply chain management：strategies for reducing cost and improving service (2nd ed.). London：Financial Times/Prentice Hall.
5.Chang, C. T. and Teng, J. T. (2004). Retailer’s optimal ordering policy under supplier credits. Mathematical Methods of Operational Research, 60, 471-483.
6.Chang, C. T., Teng, J. T., Chern, M. S. (2010). Optimal manufacturer’s replenishment policies for deteriorating items in a supply chain with up-stream and down-stream trade credits. International Journal Production Economics, 127, 197-202.
7.Chopra, S. (2000). Teaching Note：Postponement. Kellogg Graduate School of Management, Northwestern University Logistics and Supply Change Management.
8.Chu, P., Chung, K. J., and Lan, S. P. (1998). Economic order quantity of deteriorating items under permissible delay in payments. Computers & Operations Research, 25(10), 817-824.
9.Chung, K. J. (2010). Using the convexities of total annual relevant costs to determine the optimal cycle times of inventory models for deteriorating items with permissible delay in payments. Computers & Industrial Engineering, 58, 801-808.
10.Chung, K. J., Chen, Y. C., and Lin, S. D. (2011). A two-warehouse inventory model under trade credit in the supply chain management. African Journal of Business Management, 5(4), 2625-2643.
11.Cheng, T. C. E., Li, J., Wan, C. L. J. and Wang, S. Y. (2010). Analysis of Pull Postponement by EOQ-based Models. International Series in Operations Research & Management Science, 143, 19-41.
12.Ghare, P. M. and Schrader, G. P. (1963). A model for an exponentially decaying inventory. Journal of Industrial Engineering, 14, 238–243.
13.Goyal, S. K. (1985). Economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, 36, 335-338.
14.Goyal, S. K., and Gunasekaran, A. (1995). An integrated production-inventory-marketing model for deteriorating items. Computers and Industrial Engineering, 28(4), 755-762.
15.Huang, Y. F. (2007). Economic order quantity under conditionally permissible delay in payments. European Journal of Operational Research, 176, 911–924.
16.Liao, J. J. (2007). On an EPQ model for deteriorating items under permissible delay in payments. Applied Mathematical Modelling, 31, 393-403.
17.Liao, J. J. (2008). An EOQ model with non-instantaneous receipt and exponentially deteriorating items under two-level trade credit. International Journal Production Economics, 113, 852-861.
18.Liao, J. J. and Huang, K. N. (2010). Deterministic inventory model for deteriorating items with trade credit financing and capacity constraints. Computers & Industrial Engineering, 59(4), 611-618.
19.Liao, H. C., Tsai, C. H., and Su, C. T. (2000). An inventory model with deteriorating items under inflation when a delay in payment is permissible. International Journal Production Economics, 63, 207–214.
20.Li, J., Cheng, T. C. Edwin and Wang, S. Y. (2007). Analysis of postponement strategy for perishable items by EOQ-based models. International Journal Production Economics, 107, 31-38.
21.Li, J., Wang, S. Y. and Cheng, T. C. Edwin (2008). Analysis of postponement strategy by EPQ-based models with planned backorders. Omega, 36, 777-788.
22.Liang, Y., and Zhou, F. (2011). A two-warehouse inventory model for deteriorating items under conditionally permissible delay in payment. Applied Mathematical Modelling, 35, 2221-2231.
23.Ouyang, L. Y., and Cheng, M. C. (2008). Optimal ordering policy for a retailer when delay in payments is permissible. International Journal of Information and Management Sciences, 19(3), 437-453.
24.Pine, B. J. (1993). Mass Customization: The New Frontier in Business Competition. Boston: Harvard Business School Press.
25.Van Hoke, R. I. (2001). The rediscovery of postponement a literature review and directions for research. Journal of Operations Management, 19(2), 161-184.
26.Wee, H. M. (1995). A deterministic lot-size inventory model for deteriorating items with shortages and a declining market. Computers & Operations Research, 22(3), 345-356.