臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：保護期間內為隨機需求的週期性檢查存貨模型之研究
作者：林裕仁
作者(外文)：YU-JEN LIN
校院名稱：淡江大學
系所名稱：管理科學研究所博士班
指導教授：歐陽良裕
學位類別：博士
出版日期：2005
主題關鍵詞：存貨；週期檢查；前置時間；欠撥價格折扣；銷售損失率；Inventory；Periodic Review；Lead Time；Backorder Price Discount；Lost Sales Rate
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:39
以往有關存貨問題的相關學術典籍或研究文獻幾乎注重在連續性檢查訂購策略的探討。然而，就存貨訂購策略的擬訂而言，較常為管理階層所引用的除了連續性檢查策略外，還有週期性檢查存貨訂購策略，但後者卻少有學者涉入鑽研。為了提供管理階層擬訂較為完整的存貨策略，本論文試圖對週期性檢查之存貨系統的最適訂購策略做深入探討。我們在可控制前置時間的存貨模型中，當存貨系統發生缺貨情形時，為降低銷售損失，考慮對缺貨數量採價格折扣，以吸引更多顧客願意等待欠撥；或是投資資金經由對員工的訓練、作業程序的改變，或採用新的設備佈置，以降低銷售損失率。
本論文係在週期性檢查存貨系統的訂購策略下，提出保護期間內為隨機需求的存貨模型，在第二章建構可控制前置時間且缺貨發生時，缺貨數量含有欠撥價格折扣的存貨模型。第三章則討論當縮短前置時間可同時降低訂購成本時，缺貨數量含有欠撥價格折扣的存貨模型。在第四和第五章中，我們考慮投資資金以降低銷售損失率。第四章所建構的模型是以檢查週期長度，銷售損失率及前置時間為決策變數；而第五章則以檢查週期長度，銷售損失率及目標水準為決策變數。對各章所建立的存貨模型，我們均進一步討論兩種情況：一為保護期間內需求量的機率分配服從常態的情形，另一為保護期間內需求量的機率分配為未知，而僅已知其平均數與標準差的情形，並運用分配不拘大中取小準則來求得最適解。最後第六章為結論，對前述各章所得的結果作一總結，並提出未來的研究方向。
In most of the early literature dealing with the inventory problems, the research conceptions are mostly concentrated on the continuous review ordering policy. However, viewing the domain of the periodic review inventory policies, it is found that existing literature discussing the problem is not substantial. In order to provide the decision-maker with some perfect managerial strategies of inventory systems, in this thesis, we attempt to investigate the periodic review inventory systems so as to look for their corresponding optimal ordering strategies. In the inventory systems with controllable lead time, when unsatisfied demands occur, in order to reduce lost sales, we consider the supplier could offer a backorder price discount, so that more customers may prefer their demands to be backorders. Or the supplier may invest more capital to reduce lost sales rate through efforts such as staff training, procedural changes, or specialized equipment acquisition.
This thesis mainly focuses on the ordering strategies of periodic review inventory models. Under the policies, we propose the inventory models with stochastic demands during the protection interval. In Chapter 2, when unsatisfied demand occurs, we formulate the stockout quantity including backorder price discounts models with controllable lead time. And then, in Chapter 3, we discuss the stockout quantity including backorder price discounts, when the reduction of lead time may accompany the reduction of ordering cost. In Chapters 4 and 5, we consider investing more capital to reduce lost sales rate. In Chapter 4, we formulate the models, including decision variables of periodic review, lost sales rate, and lead time. And in Chapter 5, we formulate the models including decision variables of periodic review, lost sales rate, and target level. For each chapter, we discuss two cases in our formulate inventory models. The first is the case where the demand during protection interval follows a normal distribution. In the second case, where the distributional form of protection interval demand is unknown but merely the mean and standard deviation are known, we apply the minimax distribution free approach to solve the optimal solution. Finally, concluding remarks are made in Chapter 6, and future research directions are proposed.
[1] Ben-Daya, M. and Raouf, A. (1994), “Inventory Models Involving Lead Time as Decision Variable”, Journal of the Operational Research Society, Vol. 45, No. 5, pp. 579-582.new window
[2] Candace, A. Y. (1987), “Planned Leadtimes for Serial Production System”, IIE Transactions, Vol. 19, No. 3, pp. 300-307.
[3] Chen, C. K., Chang, H. C., and Ouyang, L. Y. (2001), “A Continuous Review Inventory Model with Ordering Cost Dependent on Lead Time”, International Journal of Information and Management Sciences, Vol. 12, No. 3, pp. 1-13.
[4] Chiu, H. N. (1995), “A Heuristic Periodic Review Perishable Inventory Model with Lead Times”, International Journal of Production Economics, Vol. 42, pp. 1-15.
[5] Chiu, P. P. (1998), “Economic Production Quantity Models Inventory Involving Lead Time as a Decision Variable”, (Master thesis, National Taiwan University of Science and Technology).
[6] Chuang, B. R., Ouyang, L. Y., and Lin, Y. J. (2004), “A Minimax Distribution Free Procedure for Mixed Inventory Model with Backorder Discounts and Variable Lead Time”, Journal of Statistics & Management Systems, Vol.7, No.1, pp. 65-76.new window
[7] Gallego, G. and Moon, I. (1993), “The Distribution Free Newsboy Problem: Review and Extensions”, Journal of the Operational Research Society, Vol. 44, No. 8, pp. 825-834.
[8] Hall, R. W. (1983), Zero Inventories, Dow Jones-Irwin, Homewood, Illinois.
[9] Hariga, M. and Ben-Daya, M. (1999), “Some Stochastic Inventory Models with Deterministic Variable Lead Time”, European Journal of Operational Research, Vol. 113, pp. 42-51.
[10] Hadley, G. and Whitin, T. M. (1963), Analysis of Inventory System, Prentice-Hall, Englewood Cliffs, New York.
[11] Johnson, L. A. and Montgomery, D. C. (1974), Operations Research in Production Planning, Scheduling, and Inventory Control, John Wiley & Sons, New York.
[12] Liao, C. J. and Shyu, C. H. (1991), “An Analytical Determination of Lead Time with Normal Demand”, International Journal of Operations and Production Management, Vol. 11, No. 9, pp. 72-78.
[13] Liberatore, M. (1977), “Planning Horizons for A Stochastic Lead Time Model”, Operations Research, Vol. 25, No, 6, pp. 977-988.
[14] Monden, Y. (1983), Toyota Production System, Institute of Industrial Engineers, Norcross, Georgia.
[15] Montgomery, D. C., Bazaraa, M. S., and Keswani, A. K. (1973), “Inventory Models with a Mixture of Backorders and Lost Sales”, Naval Research Logistics, Vol. 20, pp. 255-263.
[16] Moon, I. and Choi, S. (1998), “A Note on Lead Time and Distributional Assumptions in Continuous Review Inventory Models”, Computers and Operations Research, Vol.25, pp. 1007-1012.
[17] Naddor, E. (1966), Inventory System, John Wiley, New York.
[18] Ouyang, L.Y. and Chang, H.C. (2001), “The Effects of Investing in Lost Sales Reduction on the Stochastic Inventory Models”, Journal of Information and Optimization Sciences, Vol. 22, No. 2, pp. 357-368.
[19] Ouyang, L. Y. and Chang, H. C. (2002), “A Minimax Distribution Free Procedure for Mixed Inventory Models Involving Variable Lead Time with Fuzzy Lost Sales”, International Journal of Production Economics, Vol.76, pp.1-12.
[20] Ouyang, L.Y., Chen, C. K., and Chang, H. C. (1999), “Lead Time and Ordering Cost Reductions in Continuous Review Inventory Systems with Partial Backorders”, Journal of the Operational Research Society, Vol. 50, pp.1272-1279.
[21] Ouyang, L. Y. and Chuang, B. R. (2001), “A Periodic Review Inventory-Control System with Variable Lead Time”, International Journal of Information and Management Sciences, Vol. 12, No. 1, pp. 1-13.new window
[22] Ouyang, L. Y., Yeh, N. C., and Wu, K. S. (1996), “Mixture Inventory Model with Backorders and Lost Sales for Variable Lead Time”, Journal of the Operational Research Society, Vol. 47, No. 6, pp. 829-832.
[23] Ouyang, L. Y. and Wu, K. S. (1997), “Mixture Inventory Model Involving Variable Lead Time with a Service Level Constraint”, Computers and Operations Research, Vol. 24, No. 9, pp. 875-882.
[24] Pan, C. H. and Hsiao, Y. C. (2001), “Inventory Models with Back-Order Discounts and Variable Lead Time”, International Journal of Systems Science, Vol. 32, No. 7, pp. 925-929.
[25] Paknejad, M. J., Nasri, F., and Affisco, J. F. (1995), “Defective Units in a Continuous Review System”, International Journal of Production Research, Vol. 33, No. 10, pp. 2767-2777.
[26] Porteus, E. L. (1985), “Investing in Reduced Setups in the EOQ Model”, Management Sciences, Vol. 31, pp. 998-1010.
[27] Porteus, E. L. (1986), “Investing in New Parameter Values in the Discounted EOQ Model,” Naval Research Logistics Quarterly, Vol. 33, No.1, pp.39-48.new window
[28] Sarker, B. R. and Coates, E. R. (1997), “Manufacturing Setup Cost Reduction under Variable Lead Time and Finite Opportunities for Investment”, International Journal of Production Economics, Vol. 49, pp. 237-247.
[29] Silver, E. A., Pyke, D.F., and Peterson, R. (1998), Inventory Management and Production Planning and Scheduling. John Wiley & Sons, New York
[30] Taylor III, B. W. (1999), Introduction to Management Science, Prentice Hall, New Jersey.
[31] Tersine, R. J. (1994), Principles of Inventory and Materials Management, 4th ed, Prentice Hall, New Jersey.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：666（臺灣：663，外國：3） ／ 本年度總使用人次：2564847 ／ 訪客人次（自102年09月）：68362785
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上