博碩士論文 944206003 詳細資訊

以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:9 、訪客IP:
姓名 秦于婷(Yu-ting Chin)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 在信用期及允許缺貨下之賣方管理存貨再訂購點模型
(A ROP-Based Vendor-Managed Inventory Model with Shortage Allowed under Credit Period)
★ 以類神經網路探討晶圓測試良率預測與重測指標值之建立★ 六標準突破性策略—企業管理議題
★ 限制驅導式在製罐產業生產管理之應用研究★ 應用倒傳遞類神經網路於TFT-LCD G4.5代Cell廠不良問題與解決方法之研究
★ 限制驅導式生產排程在PCBA製程的運用★ 平衡計分卡規劃與設計之研究-以海軍後勤支援指揮部修護工廠為例
★ 木製框式車身銷售數量之組合預測研究★ 導入符合綠色產品RoHS之供應商管理-以光通訊產業L公司為例
★ 不同產品及供應商屬性對採購要求之相關性探討-以平面式觸控面板產業為例★ 中長期產銷規劃之個案探討 -以抽絲產業為例
★ 消耗性部品存貨管理改善研究-以某邏輯測試公司之Socket Pin為例★ 封裝廠之機台當機修復順序即時判別機制探討
★ 客戶危害限用物質規範研究-以TFT-LCD產業個案公司為例★ PCB壓合代工業導入ISO/TS16949品質管理系統之研究-以K公司為例
★ 報價流程與價格議價之研究–以機殼產業為例★ 產品量產前工程變更的分類機制與其可控制性探討-以某一手機產品家族為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 在賣方管理存貨的文獻中,大部分在探討成員間成本關係和存貨水準,而且定價為固定。在一供應商和一零售商,供應單一產品給下游的環境下,使用再訂購點的連續盤存制模型,並加入信用期來更符合賣方管理存貨環境。本研究假設前置時間的需求和零售價有一線性關係並符合常態分配,且允許缺貨情形。
吾人使用Matlab、Mathematica 5.2和Excel軟體為工具,以求出整個供應鏈利潤最大化和最佳訂購數量、再訂購點、成本加乘率的最佳解;並用於實驗分析和敏感度分析。透過這些分析可以了解服務水準越高缺貨發生數量呈遞減關係;在信用期模式下,我們發展一實驗來了解上下游利潤分享比例和信用期其相關性,可知呈線性關係,斜率為負,當上下游利潤分享比例越大時信用期就越小,也就是說上游利潤會提升,且下游利潤下降。
摘要(英) In VMI related literature, the periodic review inventory control model was mostly used on supply chain member’s cost and inventory level. And the price is assumed exogenous determined. This research focuses on environment of a distribution channel that involves a single supplier who sells only item to a single retailer. Our approach is using the ROP-based model with credit period. Demand during the lead time is represented as a linear demand function of retail price which follows Normal distribution. And the lost-sale is also allowed.
This study incorporates the Moon and Choi’s continuous review inventory model with lost-sale and Shinn et al.’s credit period policy. Our objective is to maximize the supply chain annual net profit. We prove its concave function, and establish an algorithm procedure to find the optimal order quantity, reorder point, and markup ratio simultaneously.
We use Matlab、Mathematica 5.2、and Excel as tools to solve the optimal solution and have the experiment analyses and sensitivity analyses. Through these analyses, we discuss the higher service level along with the saving of shortage cost can be achieved by the efforts of investing in reducing shortage situation. After formulating the length of credit period problem in mathematical models, we show that the profit ratio and credit period is linear function. The slope is negative. And then the profit ratio is increasing in the supplier’s profit and decreasing in the retailer’s profit.
關鍵字(中) ★ 賣方管理存貨
★ 信用期
★ 資訊分享
關鍵字(英) ★ Vendor-managed inventory (VMI)
★ Credit period
★ I
論文目次 Abstract i
Contents iv
List of figures vi
List of tables vii
1. Introduction 1
1.1 Research background and motivation 1
1.2 Problem description 3
1.3 Research objectives 4
1.4 Research methodology and framework 4
1.4.1 Research methodology 4
1.4.2 Research framework 5
2. Literature review 7
2.1 Information sharing 7
2.2 Vendor-managed inventory (VMI) 10
2.3 Delay in payment 13
2.3.1 Credit period 13
2.3.2 The perspective of supplier, retailer, and distribution channel 15
3. Model development 18
3.1 Scenario setting 18
3.2 Model formulation 22
3.3.1 The VMI model and cost analysis 26
3.3.2 Solution procedure 28
3.3.3 The relation of credit period and the supplier’s and retailer’s profit ratio 37
4 Numerical experiment 40
4.1 Data setting 40
4.2 A example to find the optimal solution 41
4.3 The relation of credit period ( ) and the supplier’s and retailer’s profit ratio ( ) 42
4.3.1 The impact of the credit period( ) on the supplier’s and retailer’s profit ratio( ) 43
4.3.2 The impact of the supplier’s and retailer’s profit ratio( )on the credit period( ) 45
4.4 The impact of scales factor ( ) in the shortage model 46
4.5 Sensitivity analysis 50
4.5.1 The effect of ordering cost (S) 50
4.5.2 The effect of holding cost (H) 52
5 Conclusion and future research 54
5.1 Conclusion 54
5.2 Future research direction 55
Reference 56
Appendix 60
參考文獻 1. Abad, P., Jaggi, C., 2003. A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive. International Journal of Production Economics, pp.115-122.
2. Aviv, Y., 2007. On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Science, Vol.53, No.5, pp.777-794
3. Achabal, D., Mclntyre, S., Smith, S., Kalyanam, K., 2000. A decision support system for vendor managed inventory. Journal of Retailing, pp.430-454.
4. Bernstein, F., Chen, F., Federgruen, A., 2006. Coordinating supply chains with simple pricing schemes: the role of Vendor-managed inventories. Management Science, Vol.52, No.10, pp.1483-1492.
5. Bourland, K., Powell, S., Pyke, D., 1996. Exploring timely demand information to reduce inventories. European Journal of Operations Research, pp.239-253.
6. Bernstein, F., Federgruen, A., 2004. Dynamic inventory and pricing models for competing retailers. Naval Res. Logist. 51, pp.258-274.
7. Bernstein, F., Federgruen, A., 2005. Decentralized supply chains with competing retailers under demand uncertainty. Management Science, Vol.51, No.1, pp.18-29.
8. Chapman, C., Ward, S., Cooper, D., Page, M., 1984. Credit policy and inventory control. Journal of the Operational Research Society, pp.1055-1065.
9. Cachon, G., Fisher, M., 2000. Supply chain inventory management and the value of shared Information. Management Science, Vol.46, No.8, pp.1032-1048
10. Cachon, G., Fisher, M., 1997. Campbell Soup’s continuous replenishment program: evaluation and enhanced inventory decision rules. Production and Operations Management , pp.266-276
11. Chen, F., 1998. Echelon reorder points, installation reorder points and the value of centralized demand information. Management Science. Vol.44, No.12, pp.S221-S225.
12. Cheung, K., Lee, H., 2002. The inventory benefit of shipment coordination and stock rebalancing in a supply chain. Management Science, Vol.48, No.2, pp.300-306
13. Chung, K. J., 1999. Bounds on the optimum order quantity in DCF analysis of the EOQ model under trade credit. Journal of Information & Operation Science, 20, pp.137-148.
14. Chung, K., 1989. Inventory control and trade credit revisited. Journal of the Operational Research Society, Vol.40, No.5, pp.495-498.
15. Chung, K., Huang, C., 2000. The convexities of the present value functions of all future cash outflows in inventory and credit. Production Planning & Control, pp.133-140.
16. Clark, T., Hammond, J., 1997. Reengineering channel reordering processes to improve total supply chain performance. Production and Operations Management, pp.248-265.
17. Clark, T., Mckenney, J., 1994. Campell Soup Company: a leader in continuous replenishment innovations. Harvard Business School, Harvard University.
18. Cetinkaya, S., Lee, C., 2000. Stock replenishment and shipment scheduling for vendor-managed inventory systems. Management Science, Vol.46, No.2, pp.217-232
19. Dong, Y., Xu, K., 2002. A supply chain model of vendor managed inventory. Transportation Research, pp.75-95.
20. Dong, Y., Xu, K., Dresner, M., 2007. Environmental determinants of VMI adoption: An exploratory analysis. Transportation Research, part E, pp.355-369
21. Daellenbach, H., 1986. Inventory control and trade credit. Journal of the Operational Research Society, Vol.37, No.5, pp.525-528.
22. Fry, M., Kapuscinski, R., Olsen, T., 2001. Coordinating production and delivery under a (z, Z)-type Vendor-managed inventory contract. Manufacturing & Service Operations Management, pp.151-173.
23. Goyal, S., 1985. Economics order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, Vol.36, No.4, pp.335-338.
24. Gavirneni, S., Kapuscinski, R., Tayur, S., 1999. Value of information in capacitated supply chains. Management Science. Vol.45, No.1, pp.16-25.
25. Hammond, J., 1994. Barilla SpA (A) and (B). Harvard Business School, Harvard University.
26. Hariharan, R., Zipkin, P., 1995. Customer-order information, lead times, and inventories. Management Science, Vol.41, No.10, pp.1599-1607.
27. Haley, C., Higgins, R., 1973. Inventory policy and trade credit financing. Management Science, Vol.20, No.4, pp.464-471.
28. Iyer, A., Bergen, M., 1997. Quick response in Manufacturer-retailer channels. Management Science, Vol.43, No.4, pp.559-570.
29. Kim, J., Hwang, H., Shinn, S., 1995. An optimal credit policy to increase supplier’s profits with price-dependent demand functions. Production Planning and Control, Vol.6, No.1, pp.45-50.
30. Lovejoy, W., Whang, S., 1995. Response time design in integrated order processing/ production systems. Operations Research.
31. Lee, C., Chu, W., 2005. Who should control inventory in a supply chain? Journal of the Operational Research, pp.158-172.
32. Mehta, D., 1968. The formulation of credit policy models. Management Science, Vol.15, No.2. pp.B30-B50.
33. Moinzadeh, K., 2002. A multi-echelon inventory system with information exchange. Management Science, Vol.48. No.3.
34. Moinzadeh, K., Bassok, Y., 1998. An inventory/distribution model with information sharing between the buyer and the supplier. School of Business Administration, University of Washington.
35. Narayanan, V., Raman, A., 1997. Assignment of stocking decision rights under incomplete contracting. Harvard Business School, Harvard University.
36. Ouyang, L., Yen, N., Wu, K., 1996. Mixture inventory model with backorders and lot sales for variable lead time. Journal of the Operational Research Society, 47, pp.829-832.
37. Ravindran, A., Phillips, D., Solberg, J., 1987. Operations research: principles and practice. Wiley, New York.
38. Rachamadugu, R., 1989. Effect of delayed payments (trade credit) on order quantities. Journal of the Operational Research Society, Vol.40, No.9.
39. Raghunathan, S., Yeh, A., 2001. Beyond EDI: impact of continuous replenishment program (CRP) between a manufacturer and its retailers. Information Systems Research. pp.406-419.
40. Shinn, S., Hwang, H., 2003. Optimal pricing and ordering policies for retailers under order size-dependent delay in payments. Computers and Operations Research, Vol.30, pp.35-50.
41. Shinn, S., 1997. Determining optimal retail price and lot size under day-terms supplier credit. Computers and Industrial Engineering, Vol.33, Nos.3-4, pp. 717-720.
42. Teng, J., 2002. On the economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, Vol.53, pp.915-918.
43. Vlist, P, Kuik, R, Verheijen, B, 2007. Note on supply chain integration in vendor-managed inventory. Decision Support Systems.
44. Waller, M., Johnson, M., Davis T., 1999. Vendor-managed inventory in the retail supply chain. Journal of Business Logistics, pp.183-203.
45. Yao, Y., Dresner, M., 2007. The inventory value of information sharing, continuous replenishment, and vendor-managed inventory. Transportation Research, part E.
46. Yao, Y., Evers P., Dresner, M., 2007. Supply chain integration in Vendor-managed inventory. Decision Support Systems, pp.663-674
指導教授 沈國基(Gwo-ji Sheen) 審核日期 2007-7-21
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明