博碩士論文 103426009 詳細資訊




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姓名 邱聖恩(Sheng-En Chiou)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 考慮退貨期限下最佳消費者退貨政策
(Optimal Consumer Return Policy with Deadline)
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摘要(中) 在消費過程中,消費者會先確認產品的功能與外觀等因素,若符合需求才會決定購買。但透過郵購、網路購物、電視購物等管道消費,消費者因為只能透過型錄、圖片或是他人介紹的方式來了解該產品,會導致認知上的差距,使得消費者產生後悔的情形。因此許多零售商,即使是實體店家,都會針對類似產品提供退貨政策。
本篇提出一個消費者退貨政策的模型。在模型中,消費者面對不確定性的效用並且只有在購買後才能實現自己的效用。然而,消費者的效用會隨著時間下降。例如:當購買了一個產品,此產品使用愈久,會愈想更換新的,對原本擁有的產品感觀下降。在此環境下,消費者依序做兩個決定。最初,消費者決定是否購買此產品。假如他購買了,他們在觀察自己的效用之後再決定是否退還此產品。
此廠商面對消費者需求不確定性。廠商的決定包括價格,庫存數量,以及需支付的退款和退貨期限。除此之外,退貨期限與定價和賣方的存貨政策對消費行為影響進行了系統的研究。
摘要(英) In the consumer-adoption process, consumer will confirm the function and appearance of products first, if it fits the requirement, they will decide whether purchase or not. However, if consumer purchase products through mail, online-shopping, TV-shopping, etc., they can only get information from these products through catalog, image or others introduced, therefore, consumers may be seized with remorse by different cognitive. Many retailers, even bricks and mortar, will provide a refund guarantee for similar products.
This paper develops a model of consumer return policies. In our model, consumers face valuation uncertainty and realize their valuations only after purchase. However, consumer’s valuation will decline from time to time after purchasing product. For example, if we brought a new product, the longer period we′ve used, the perception of the product might decline, therefore, we want to change for new products. In this environment, consumers make two decisions sequentially. Initially, they decide purchase the product. If so, they then decide whether to return it after privately observing their own valuation.
There is also aggregate demand uncertainty. The seller’s decisions include the price, the stocking quantity, as well as the refund to be paid and return deadline. In addition, the influence of the return deadline on consumers’ behavior and the pricing and the inventory policies of the seller are systematically investigated.
關鍵字(中) ★ 效用
★ 產品退貨政策
★ 退貨期限
關鍵字(英) ★ Utility
★ Product return policies
★ Return deadline
論文目次 摘要 I
Abstract II
List of Tables V
List of Figures VI
Chapter 1 Introduction 1
1-1 Background and Motivation 1
1-2 Research Objective 3
Chapter 2 Literature review 4
2-1 Decision models based on utility 4
2-2 Consumer return behavior 5
2-3 Product return policies 6
Chapter 3 Model and Analysis 8
3-1 Environment statement and notation 8
3-2 Consumer return behavior 10
3-2-1 Decision model based on consumer’s utility 10
3-2-2 The structure of the consumer utility parameter, θ"1" 14
3-2-3 The structure of the consumer utility parameter, "θ2,t" 16
3-3 Model 18
3-3-1 Model 1 without return deadline 18
3-3-2 Model 2 with return deadline 19
Chapter 4 Numerical example 22
4-1 Model 1 without return deadline 22
4-2 Model 2 with return deadline 23
4-2-1 Situation 1. Common brand in the model 2 24
4-2-2 Situation 2. Luxury brand in the model 2 25
4-2-3 Profit comparison with two situation 27
Chapter 5 Sensitive analysis 28
5-1 Sensitivity analysis of parameter α 28
5-2 Sensitivity analysis of parameter β 30
5-3 Sensitivity analysis of parameter γ 31
5-4 Sensitivity analysis of parameter w 33
5-5 Sensitivity analysis of parameter d 35
5-6 Sensitivity analysis of parameter c 37
5-7 Sensitivity analysis of parameter sr 37
Chapter 6 Conclusion and future research 40
6-1 Conclusion 40
6-2 Future research 41
References 43
參考文獻 Bernoulli, D. (1954). Exposition of a New Theory on the Measurement of Risk. Econometrica, 22(1), 23-36.
Cachon, G. 2003. Supply chain coordination with contracts. S. C. Graves, A. G. de Kok, eds. Handbooks in OR&MS, Supply Chain Management Design, coordination and Operation, Vol. II. North Holland, Amsterdam, 229–339.
Che, Y.-K. (1996). Customer Return Policies For Experience Goods. The Journal of Industrial Economics, 44(1), 17-27.
Chen, J., & Grewal, R. (2013). Competing in a supply chain via full-refund and no-refund customer returns policies. International Journal of Production Economics, 146(1), 246-258.
Dana, J. D., & Jr. (1998). Advance-Purchase Discounts and Price Discrimination in Competitive Markets. Journal of Political Economy, 106(2), 395-422.
Davis, S., Gerstner, E., & Hagerty, M. (1995). Money Back Guarantees in Retailing: Matching Products to Consumer Tastes. Journal of Retailing, 71(1), 7-22,.
Davis, S., Hagerty, M., & Gerstner, E. (1998). Return Policies and the Optimal Level of“Hassle”. Journal of Economics and Business, 50, 445–460.
Emmons, H., S. M. Gilbert. 1998. The role of returns policies in pricing and inventory decisions for catalogue goods. Management Science. 44(2) 276–283.
Ferguson, M., Guide, V. D. R., & Souza, G. C. (2006). Supply Chain Coordination for False Failure Returns. Manufacturing & Service Operations Management, 8(4), 376-393.
Fleischmann, M., Kuik, R., & Dekker, R. (2002). Controlloing inventories with stochastic item return: A basic model. European Journal of Operational Research, 13, 63-75.
Guide, V. D. R., Souza, G. C., Van Wassenhove, L. N., & Blackburn, J. D. (2006). Time Value of Commercial Product Returns. Management Science, 52(8), 1200-1214.
Gurnani, H., Sharma, A., & Grewal, D. (2010). Optimal Returns Policy under Demand Uncertainty. Journal of Retailing, 86(2), 137-147.
Huang, X., Gu, J.-W., Ching, W.-K., & Siu, T.-K. (2014). Impact of secondary market on consumer return policies and supply chain coordination. Omega, 45, 57-70.
Kumar, N., Guide, V.D.R., Jr.,&VanWassenhove, L.N.(2002). Managing product returns at Hewlett Packard.Fontainebleau, France: INSEAD Teaching Case.
Lee, C. K., & Wen, M.-J. (2009). A Multivariate Weibull Disitribution. "Pakistan Joutnal of Statistics and Operation Research, 5(2), 55-66.
Liu, J., Mantin, B., & Wang, H. (2014). Supply chain coordination with customer returns and refund-dependent demand. International Journal of Production Economics, 148, 81-89.
Lillien, K., M., (1992). Marketing Models. USA: Prentice-Hall
Longo, T., & Nayalkar, S.(1995). At stores,many unhappy returns. Kiplinger’s Personal Finance Magazine,49(6),103–104.
Lu, J.-C., & Bhattacharyya, G. K. (1989). Some New Constructions of Bivatiate Weibull Models. Annals of the Institute of Statistical Mathematicsnn, 42(3), 543-559.
Mukhopadhyay, S. K., & Setoputro, R. (2004). Reverse logistics in e-business: Optimal price and return policy. International Journal of Physical Distribution & Logistics Management, 34(1), 70-89.
Padmanabhan, V., & Png, I. P. L. (2004). Reply to “Do Returns Policies Intensify Retail Competition?”. Marketing Science, 23(4), 614-618.
Pasternack, B. A. 1985. Optimal pricing and returns policies for perishable commodities. Marketing Science, 4(2) 166–176.
Shulman, J. D., Coughlan, A. T., & Savaskan, R. C. (2009). Optimal Restocking Fees and Information Provision in an Integrated Demand-Supply Model of Product Returns. Manufacturing & Service Operations Management, 11(4), 577-594.
Shulman, J. D., Coughlan, A. T., & Savaskan, R. C. (2011). Managing Consumer Returns in a Competitive Environment. Management Science, 57(2), 347-362.
Su, X. (2009). Consumer Returns Policies and Supply Chain Performance. Manufacturing & Service Operations Management, 11(4), 595-612.
Su, X., & Zhang, F. (2009). On the Value of Commitment and Availability Guarantees When Selling to Strategic Consumers. Management Science, 55(5), 713–726.
Tsay, A. A. (2001). Managing retail channel overstock_ Markdown money and return polocoes. Journal of Retailing, 77, 457–492.
Vlachos, D., & Dekker, R. (2003). Return handling options and order quantities for single period products. European Journal of Operational Research, 151, 38-52.
Xu, L., Li, Y., Govindan, K., & Xu, X. (2015). Consumer returns policies with endogenous deadline and supply chain coordination. European Journal of Operational Research, 242(1), 88-99.
指導教授 曾富祥 審核日期 2016-7-14
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