Bundle pricing, reservation, and refund policies in a two-level supply chain

被引:2
作者
Moeany, M. [1 ]
Taleizadeh, A. A. [1 ]
Jolai, F. [1 ]
机构
[1] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran
关键词
Pricing; Product refund policy; Reserved product; Bundling; Return policy; Inventory; Supply chain; RETURN POLICY; DUAL-CHANNEL; COMPLEMENTARY PRODUCTS; QUALITY; MANUFACTURER; STRATEGY; COORDINATION; DECISIONS; RETAILER; LEVEL;
D O I
10.24200/sci.2021.55228.4121
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Refunding and bundling reservation are known as two popular methods to increase profit and they have gained the attention of many researchers in recent years. One major application of refunding policy emerges in online product sales. In this case, consumers can be refunded by returning goods that are against their interest. Examining three scenarios including refunding, bundle reservation, and refunding along with bundle reservation policies, this study will investigate the viability and performance of a model for each corresponding scenario. Then, the attempt is to compare two refund and bundle reservation pricing policies in a two-level supply chain including one manufacturer and one wholesaler. Then, a combined model including two products is provided. The demand is constant and also, the population-related information about the division of the population into two types of consumers is available: strategic consumers (consumers able to predict the second-stage discount) and myopic consumers (consumers unable to predict the secondstage discount). In addition, the percentage of consumers who refund the product due to regret, inability to install the product, etc. is constant and independent of the amount of refund. It was found that the combined model was optimal and had a higher profit margin than any other policy alone.
引用
收藏
页码:2740 / 2755
页数:16
相关论文
共 37 条
[1]   A game theoretic approach for pricing under a return policy and a money back guarantee in a closed loop supply chain [J].
Assarzadegan, Parisa ;
Rasti-Barzoki, Morteza .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 222
[2]   A profit maximization for a reverse logistics dual-channel supply chain with a return policy [J].
Batarti, Raaid ;
Jaber, Mohamad Y. ;
Aijazzar, Salem M. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 106 :58-82
[3]   Recommender systems for product bundling [J].
Beladev, Moran ;
Rokach, Lior ;
Shapira, Bracha .
KNOWLEDGE-BASED SYSTEMS, 2016, 111 :193-206
[4]  
Benisch M., 2012, INT C AUCTIONS MARKE, P40
[5]   Bundle-Size Pricing as an Approximation to Mixed Bundling [J].
Chu, Chenghuan Sean ;
Leslie, Phillip ;
Sorensen, Alan .
AMERICAN ECONOMIC REVIEW, 2011, 101 (01) :263-303
[6]   Multi-manufacturer pricing and quality management strategies in the presence of brand differentiation and return policy [J].
Giri, B. C. ;
Roy, B. ;
Maiti, T. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 105 :146-157
[7]  
Heydaryan H, 2017, INT J SYST SCI-OPER, V4, P384, DOI [10.1080/23302674.2016.1212426, 10.1080/23302674.2016.1212426, DOI 10.1080/23302674.2016.1212426]
[8]   The Stochastic Grid Bundling Method: Efficient pricing of Bermudan options and their Greeks [J].
Jain, Shashi ;
Oosterlee, Cornelis W. .
APPLIED MATHEMATICS AND COMPUTATION, 2015, 269 :412-431
[9]   Return strategy and pricing in a dual-channel supply chain [J].
Li, Guo ;
Li, Lin ;
Sethi, Suresh P. ;
Guan, Xu .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2019, 215 :153-164
[10]   Examining relationships between the return policy, product quality, and pricing strategy in online direct selling [J].
Li, Yongjian ;
Xu, Lei ;
Li, Dahui .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2013, 144 (02) :451-460