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研究生:郭茜雯
研究生(外文):Chien-Wen Kuo
論文名稱:運用橫向調撥與不同存貨策略評估供應鏈系統之績效
論文名稱(外文):Using Lateral Transshipment and Different Inventory Policies to Evaluate Supply Chain System Performance
指導教授:蔡禎騰蔡禎騰引用關係邱創鈞邱創鈞引用關係
學位類別:碩士
校院名稱:東海大學
系所名稱:工業工程與經營資訊學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:79
中文關鍵詞:橫向調撥存貨策略供應鏈
外文關鍵詞:Lateral TransshipmentInventory PoliciesSupply Chain System
相關次數:
  • 被引用被引用:4
  • 點閱點閱:673
  • 評分評分:
  • 下載下載:55
  • 收藏至我的研究室書目清單書目收藏:0
橫向調撥是ㄧ個藉由調撥存貨以降低缺貨發生,同時使存貨做有效運用的方法。本研究探討在面對高單價、需求少的緊急訂單時,為了維持高服務水準,供應商與配銷中心面臨積壓存貨與存貨短缺的兩難。一方面為了減少缺貨的發生而持有多餘的存貨導致持有成本上升,另一方面又必須考慮當存貨不足時無法滿足顧客緊急需求時所產生的缺貨成本,甚而導致顧客滿意度下降等無形的損失。面對這樣的問題,供應鏈中各個零售商之間藉由橫向調撥將多餘存貨調撥至缺貨方的可行性將被重視。
本研究主要探討不同存貨策略在運用橫向調撥下之表現,以系統模擬驗證供應鏈在進行橫向調撥後成本與服務水準之改變,並以成本與服務水準作為績效指標進行評估兩不同存貨政策之績效。
本研究發現運用不同存貨策略在橫向調撥下不僅各種成本顯著下降、服務水準也有明顯的提升。在本研究假設之情況下,(Q,R)與(R,S)兩存貨策略相互比較,(R,S)存貨政策在各種成本下降較為明顯。服務水準則是(Q,R)存貨政策有較顯著的表現。
Lateral transshipments represent a strategy which transships inventory to reduce shortage and improves inventory availability. This study examines emergency orders which high prices and low demands, suppliers and distribution center in order to maintain high customer service levels, needed to storage inventory. Holding inventory is avoided shortage happened and caused holding cost raised, on the other hand, when the inventory insufficiency caused the shortage cost and the customer service levels drop and so on the invisible loss.
This paper focused on different inventory policies used lateral transshipment to analysis supply chain system performance.
The conclusion is that using lateral transshipment with (Q, R) and (R, S) inventory policies results in lower cost and high service level. Furthermore, the (R, S) policy in cost and (Q, R) policy in service level is all the more likely to get this result.
目錄
摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1.1研究背景與動機 1
1.2研究問題描述 2
1.3研究目的 4
1.4論文架構與研究流程 5
第二章 文獻探討 7
2.1供應鏈(Supply Chain)之相關文獻 7
2.1.1供應鏈管理定義與特性 7
2.1.2存貨管理的意義 8
2.1.3存貨政策 8
2.1.4橫向調撥(Lateral Transshipment ) 9
2.1.5 服務水準 12
2.2各應用到橫向調撥產業的供應鏈管理 13
2.3系統模擬 14
2.4本章小結 15
第三章 問題描述 16
3.1問題定義 16
3.1.1情境描述 16
3.1.2存貨準則 19
3.1.3調撥法則 20
3.1.4橫向調撥之順序法則 21
3.1.5考量成本 23
3.1.6存貨相關成本 25
3.1.7目標函數 27
3.2 假設條件 29
3.2.1研究假設 29
3.2.2顧客需求以及存貨參數之假設 29
第四章 模式建構 31
4.1模擬的運用 31
4.2模式建立 31
4.2.1存貨政策 31
4.2.2績效指標 32
4.3建立eM-Plant 33
第五章 模擬實驗 41
5.1實驗設計 41
5.1.1假設檢定 42
5.2成本結果分析 43
5.2.1(Q,R)、(R,S)存貨政策成本結果分析 43
5.3服務水準分析 45
5.3.1(Q,R)、(R,S)存貨政策服務水準結果分析 45
第六章 結論與建議 50
6.1研究結論 50
6.2未來方向與建議 51
參考文獻 53
附錄一、(Q,R)存貨政策數據 56
附錄二、(R,S)存貨政策數據 66
附錄三、三階段法模擬模式建構 76
附錄四、存貨管理模式 78
參考文獻
中文部份
1.林清河 (1995),物料管理,修訂版,華泰文化事業股份有限公司
2.姜林杰祐、張逸輝、陳家明、黃家祚 (2001),系統模擬eM-Plant操作與實務,華泰文化事業股份有限公司
3.陳穆臻、陳凱瀛、潘義鉦、蔡禮豐、陳世偉、許斐皓 (2004),維修備用零件之預防性替換與比例政策之存貨管理,第一屆台灣作業研究學會學術研討會, p.808-814

英文部分參考
4.Alfredsson, P. and Verrijdt, J. (1999). Modeling emergency supply flexibility in a two-echelon inventory system. Management Science, 45:1415-1431.
5.Archibald, T.W., Sassen, S.A. and Thomas, L.C. (1997). An optimal policy for a two depot inventory problem with stock transfer. Management Science, 43: 173–183.
6.Axsäter, S. (1990). Modeling emergency lateral transshipments in inventory systems. Management Science, 36: 1329–1338.
7.Axsäter, S. (2003). Evaluation of unidirectional lateral transshipments and substitutions in inventory systems. European Journal of Operational Research, 149: 438-447.
8.Arnold, J.R. and T., Chapman, S.N. (2003). Introduction to Materials Management 5th edition.
9.Balsmeier, P. W. and Voisin, W. J. (1996). Supply Chain Management: A Time-Based Strategy. Industrial Management, pp.24-27.
10.Bashyam, S.and Fu, M.C. (1998). Optimization of (s, S) inventory systems with random lead times and a service level constraint. Decision Sciences, 31(4):773-787.
11.Cooper, M.C.and Grander, J.H. (1993). Good Business Relationships: More Than Just Partnering or Strategic Alliances. International Journal of Physical Distribution and Logistics Management, 23(6):14-26.
12.Das, C. (1975). Supply and redistribution rules for two-location inventory systems: one-period analysis. Management Science, 21: 765–776.
13.Evers, P.T. (2001). Heuristics for assessing emergency transshipments. European Journal of Operational Research, 129: 311–316.
14.Fu, M.C. and Healy, K.J. (1997) .Techniques for optimization via simulation: an experimental study on an (s, S) inventory system. IIE Transactions, 29 :191-199
15.Grahovac, J. and Chakravarty, A. (2001). Sharing and lateral transshipment of inventory in a supply chain with expensive low-demand items. Management Science, 47:579–594.
16.Gross, D. (1963). Centralized inventory control in multilocation supply systems. In: Scarf, H.E., Gilford, D.M., Shelly, M.W. Multistage Inventory Models and Techniques. Stanford University Press, Stanford, Chapter 3.
17.Herer, Y.T. and Rashit, A. (1999). Lateral stock transshipments in a two-location inventory system with fixed and joint replenishment costs. Naval Research Logistics, 46:525–547.
18.Herer, Y.T., Tzur, M., Yücesan, E. (2002). The Multi-location transshipment promble. Working paper, Faculty of Industrial Engineering and Management. Technio University.
19.Hoadley, B. and Heyman, D.P. (1977). A two-echelon inventory model with purchases, dispositions, shipments, returns and transshipments. Naval Research Logistics, 24: 1-19.
20.Jarugumilli, S, Grasman, S. E. and Ramakrishnan, S. (2006). Simulation framework for real-time management and control of inventory routing decisions.2006 Winter Simulation Conference, p: 1485-1492.
21.Krishnan, K.S. and Rao, V.R.K. (1965). Inventory control in N warehouses. Journal of Industrial Engineering, 16: 212–215.
22.Kukreja, A., Schmidt, C.P.and Miller, D.M. (2001). Stocking decisions for low-usage items in a multilocation inventory system. Management Science, 47:1371–1383.
23.Kao, C. and Chen, S.P. (2006). A stochastic quasi-Newton method for simulation response optimization. European Journal of Operational Research, 173:30-46.
24.Katsali, K. and Brailsford, SC. (2007). Using simulation to improve the blood supply chain. Journal of the operational research society, 58:219-227。
25.Jacobson, S.H. and Schruben, L.W. (1989).Techniques for simulation response. Operation Research Letters, 8:1-9.
26.Lee, H.L. (1987).A multi-echelon inventory model for repairable items with emergency lateral transshipments. Management Science, 33:1302–1316.
27.Lee, Y.H., Cho, M.K., Seo J.K. and Kim, Y.B. (2002). Supply chain simulation with discrete-continuous combined modeling. Computers and Industrial Engineering, 43 :375-392
28.Lee, H.L. and Wu, J.C. (2006). A study on inventory replacement policies in a two-echelon supply chain system. Computer and Industrial Engineering, 51:257-263.
29.Lee, Y. H, Jung, J. W. and Jeon, Y. S. (2007). An effective lateral transshipment policy to improve service level in the supply chain. International Journal of Production Economics, 106(1):115-126.
30.Morgan, J. (1997). How to Make Them. Purchasing, 123(5):31-36.
31.Needham, P.M. and Evers, P.T. (1998).The influence of individual cost factors on the use of emergency transshipments. Transportation Research, 34:149–160.
32.Robinson, L.W. (1990). Optimal and approximate policies in multiperiod, multilocation inventory models with transshipments. Operations Research, 38:278–295.
33.Silver, E. A. and Peterson, R. (1985). Decision Systems for Inventory Management and Production Planning. John Wiley & Sons, New York.
34.Sherbrooke, C.C. (1992). Multi-echelon inventory systems with lateral supply. Naval Research Logistics, 39: 29–40.
35.Safizadeh, M.H. (1990).Optimization in simulation: Current issues and the future outlook. Naval Research Logistics, 37:807-825.
36.Tagaras, G. (1989). Effects of pooling on the optimization and service levels of two-location inventory systems. IIE Transactions, 21:250–257.
37.Tagaras, G. and Dimitrios, V. (2002). Effectiveness of stock transshipment under various demand disrtiustions and nonnegligible transshipment times. Production and Operations Managemet, 11(2): 183-198.
38.Wong, H., Cattrysse, D. and Van Oudheusden, D. (2005a). Stocking decisions for repairable spare parts pooling in a multi-hub system. International Journal of Production Economics, 93–94:309–317.
39.Wong, H., Van Houtum, G.J., Cattrysse, D. and Van Oudheusden, D. (2005b). Simple, efficient heuristics for multi-item multi-location spare parts systems with lateral transshipments and waiting time constraints. Journal of the Operational Research Society, in press.
40.Xu, K., Evers, P.T. and Fu, M.C. (2003). Estimating customer service in a two-location continuous review inventory model with emergency transshipments. European Journal of Operational Research, 145:569–584.
41.Yanagi, S. and Sasaki, M. (1992). An approximation method for the problem of a repairable-item inventory system with lateral supply. IMA Journal of Mathematics Applied in Business and Industry, 3: 305–314.
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