| 研究生: |
陳張凱 Chen, Edison |
|---|---|
| 論文名稱: |
以退貨比例考量不同程度的風險成本之製造商退貨政策 Manufacture's returns polices with risk-aversion |
| 指導教授: |
吳植森
Wu, Chin-Sen 李賢得 Lee, Shine-Der |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 資訊管理研究所 Institute of Information Management |
| 論文出版年: | 2008 |
| 畢業學年度: | 96 |
| 語文別: | 中文 |
| 論文頁數: | 53 |
| 中文關鍵詞: | 報僮存貨模式 、期望效用 、風險態度 、退貨政策 |
| 外文關鍵詞: | Risk Attitude, Expected Utility, Newsboy Model, Return Policies |
| 相關次數: | 點閱:119 下載:3 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
全球化的競爭體系下,企業的競爭對手不在只限於國內而是全世界;全球化競爭趨勢下,如何保有及維持競爭力,或是如何獲取競爭優勢,為目前企業所重視的議題。產品從生產製造,一直到最終消費者手上之供應鏈的運作流程裡,每一個環節都必須有效的協調運作。另一方面,產品以消費者為導向,以及產品生命週期縮短的特性下,管理者以報僮的存貨模式來思考決策。因此,本研究以報僮存貨模式,以及使用退貨政策做為協調方式,研究單一製造商與單一零售商的二階產銷系統之退貨政策。製造商使用退貨政策,且可以透過退貨比例,及退貨價格來維持企業的競爭優勢。然而,製造商使用退貨政策除了因為退貨所產生的損失之外本研究也考量到風險成本。
製造商在決定不同的退貨比例時,代表其自身對於風險規避程度的不同。因此,可用退貨比例連動產生不同程度的風險規避之方式,建立非線性期望效用模型,利用遞迴的方式求解在零售商風險中立與風險規避二種情況下之決策變數:(1)傳統全比例的退貨之下,以遞迴的方式來求解製造商最佳退貨價格的收斂;(2)當退貨比例成為製造商可調整之決策變數後,對製造商退貨價格與零售商訂購量的影響。研究結果顯示:(1)當退貨比例為製造商可調整之決策變數後,零售商屬於風險中立的情況下,製造商若提供小於一之退貨比例,其所獲得之期望效用會高;(2)當零售商開始考量風險成本時,其風險規避態度在超過某一程度之後,會使得製造商需提供全比例的退貨,製造商所獲得的期望效用相較於零售商風險中立時來得低。
In confront of global competition, gaining competitive advantage is a very important issue for business. Managers make decision on the inventory problem using newsboy model with return policies in the customer-oriented business world with short life-cycle products. Therefore, this thesis models a one-manufacturer and one-retailer supply chain using newsboy model under return policies with two risk attitudes. Manufacturers use return policy to gain competitive advantage by partial return and acceptable buy-back price. In addition to the loss from return policy this thesis also considers risk cost of return policy.
Different partial return stands for the manufacturer’s risk-aversion. Therefore, use different partial return will affect the degree of the manufacturer’s risk-aversion. A non-linear expected utility model was built for the supply chain model. Procedures for finding the values of decision variables under the retailer’s risk-neutral and risk-aversion was developed using the recursive method. Two scenarios are considered in the study: 1. finding the manufacturer’s buy-back price with best utility under traditional unlimited return policy. 2. investigating the effect that the manufacturer’s buy-back price on retailer’s order quantity under various partial return policies. Conclusion from the study includes: 1. when the retailer is risk-neutral, the manufacturer gains a larger expected utility from offering partial return. 2. when the retailer is of risk-aversion an unlimited return policy is required for the manufacture to accomplish the best utility. However, the expected utility of the manufacturer with risk-aversion retailer is lower than that with risk-neutral retailer.
Adachi, Y., Nose, T., and Kuriyama, S., Optimal inventory control policy subject to different selling prices of perishable commodities, International Journal of Production Economics, Vol. 60-61, pp. 389-394, 1999.
Agrawal, V., and Seshadri, S., Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem, Manufacturing & Service Operations Management, Vol. 2, pp. 410-423, 2000.
Balsmeier, P. W., and Voisin, W. J., Supply chain management: a time-based strategy, Industrial Management, Vol. 38, pp. 24-27, 1996.
Choi, T. M., Li, D., and Yan, H., Optimal returns policy for supply chain with e-marketplace, Production Economics, Vol. 88, pp. 205-227, 2004.
Christopher, M., Logistics and Supply Chain Management: Strategies for Reducing Costs and Improving Services, The Journal of the Operational Research Society, Vol. 45, pp. 1341-1341, 1992.
Cooper, M. C., Lambert, D. M., and Pagh, J. D., Supply Chain Management: More Than a New Name for Logistics, The International Journal of Logistics Management, Vol. 8, 1997.
Chang, P. L., and Lin, C. T., On the effect of centralization on expected costs in a multi-location newsboy problems, The Journal of the Operational Research, Vol. 42, pp. 1025-1030, 1991.
Cachon, G. P., and Terwiesch, C., Matching Supply with Demand, Mc Graw Hill, 2006.
Eppen, G., Effects of centralization on expected costs in multi-location newsboy problems, Management Science, Vol. 25, pp. 498-501, 1979.
Emmons, H., and Gilbert, S. M., Note. The Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods, Management Science, Vol. 44, pp. 276-283, 1998.
Eeckhoudt, L., Gollier, C., and Schlesinger, H., The Risk-Averse (and Prudent) Newsboy, Management Science, Vol. 41, pp. 786-794, 1995.
Farrar, D., The Investment Decision Under Uncertainty: Portfolio Selection, The Journal of Finance, Vol. 17, pp. 671-672, 1962.
Hahn, K. H., Hwang, H., and Shinn, S. W., A returns policy for distribution channel coordination, European Journal of Operational Research, Vol. 152, pp. 770-780, 2004.
He, J., Chin, K. S., Yang, J. B., and Zhu, D. L., Return Policy Model of Supply Chain Management, Journal of Optimization Theory and Applications, Vol. 129, pp. 293-308, 2006.
Iyer, A.V., and Bergen, M., Quick response in manufacturer-retailer channels, Management Science, Vol. 43, pp. 559-570, 1997.
Karlin, S., and Carr, C. R., Prices and optimal inventory policy, Studies in Applied Probability and Management Science, Vol. 4, pp. 159-172 , 1962.
Komorita, S. S., A Model for Decision-Making under Risk, The American Journal of Psychology, Vol. 77, pp. 429-463, 1964.
Keren, B., and Pliskin, J. S., A benchmark solution for the risk-averse newsvendor problem, European Journal of Operational Research, Vol. 174, pp. 1643-1650, 2006.
Kopczak, L. R., Logistics Partnership and Supply Chain Restructuring: Survey Results from the US Computer Industry, Production and Operations Management, Vol. 6, pp.226-247, 1997.
Lau, A. H. L., and Lau, H. S., A Semi-Analytical Solution for a Newsboy Problem with Mid-Period Replenishment, Journal of the Operational Research Society, Vol. 48, pp. 1245-1253, 1997.
Lau, A. H. L., and Lau, H. S., Manufacturers pricing strategy and return policy for a single-period commodity, European Journal of Operational Research, Vol. 116, pp. 291-304, 1999.
Lau, A. H. L., and Lau, H. S., Effects of a demand-curve’s shape on the optimal solutions of a multi-echelon inventory/pricing model, European Journal of Operational Research, Vol. 147, pp. 530-548, 2003.
Mukhopadhyay, S. K., and Setaputra, R., A dynamic model for optimal design quality and return policies, A dynamic model for optimal design quality and return policies, European Journal of Operational Research, Vol. 180, pp. 1144-1154, 2007.
Mantrala, M. K., and Raman, K., Demand uncertainty and supplier's returns policies for a multi-store style-good retailer, European Journal of Operational Research, Vol. 115, pp. 270-284, 1999.
Oliver, R. K., and Webber, M. D., Supply-chain management: logistics catches up with strategy, England: Chapman & Hall, 1982.
Petruzzi, N. C., and Dada, M., Pricing and the Newsvendor Problem: A Review with Extensions, Operations Research, Vol. 47, pp. 183-194, 1999.
Padmanbhan, V., and Png, I. P. L., Manufactures Returns Policies and Retail Compettiion, Marketing Science, Vol. 16, pp. 81-94, 1997.
Padmanabhan, V., and Png, I. P. L., Returns Policies:Make Money by Making
Good, Sloan Management Review, Vol. 37, pp. 65-72, 1995.
Pasternack, B. A., Optimal Pricing and Return Policies for Perishable Commodities
, Marketing Science, Vol. 4, pp. 166-176, 1985.
Silver, E. A., and Peterson, R., Inventory Management and Production Planning and Scheduling, John Wily, 1998.
Yue, X., and Raghunathan, S., The impacts of the full returns policy on a supply chain with information asymmetry, European Journal of Operational Research, Vol. 180, pp. 630-647, 2007.
Yao, Z., Wu, Y., and Lai, K. K., Demand uncertainty and manufacturer returns policies for style-good retailing competition, Production Planning & Control, Vol. 16, pp. 691-700, 2005.
Yao, Z., Leung, S. C. H., and Lai, k. k., Analysis of the impact of price-sensitivity factors on the returns policy in coordinating supply chain, European Journal of Operational Research, Vol. 187, pp. 275-282, 2008.