A two-period pricing model for perishable items

This paper presents a two-period pricing model for perishable items via an advance selling strategy deployed within electronic businesses. This model is proposed by classifying consumers based on their shopping habits: strategic consumers and conventional consumers. The model was developed both with and without a consumer order cancellation variable. Numerical computation and sensitivity analysis were conducted to test and justify the theoretical model. The results demonstrate that the ratio of potential consumers in an advance selling period to that in regular selling period is the main factor affecting pricing decisions. Consumers' perception of price fairness and order cancellation have effect on sellers' total revenue. The best revenue and price is obtained by adjusting the length of the advance selling period.

[1]  Richard E. Chatwin,et al.  Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices , 2000, Eur. J. Oper. Res..

[2]  Arda Yenipazarli,et al.  A mathematical model for perishable products with price- and displayed-stock-dependent demand , 2016, Comput. Ind. Eng..

[3]  Xiang Li,et al.  A multi-period ordering and clearance pricing model considering the competition between new and out-of-season products , 2016, Ann. Oper. Res..

[4]  Samuel E. Bodily,et al.  A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing , 1992, Oper. Res..

[5]  A. Zhang,et al.  Optimal dynamic pricing and ordering decisions for perishable products , 2014 .

[6]  Zhi-Ping Fan,et al.  A laboratory exploration for multi-period perishable food pricing , 2015 .

[7]  Cinzia Muriana An EOQ model for perishable products with fixed shelf life under stochastic demand conditions , 2016, Eur. J. Oper. Res..

[8]  Kamran Shahanaghi,et al.  Dynamic Pricing of a Web Service in an Advance Selling Environment , 2015 .

[9]  Barry Alan Pasternack,et al.  Optimal Pricing and Return Policies for Perishable Commodities , 2008, Mark. Sci..

[10]  Jie Liu,et al.  Optimal decisions for sellers considering valuation bias and strategic consumer reactions , 2017, Eur. J. Oper. Res..

[11]  Prakash L. Abad,et al.  Optimal price and order size for a reseller under partial backordering , 2001, Comput. Oper. Res..