Optimal Dual-Channel Dynamic Pricing of Perishable Items under Different Attenuation Coefficients of Demands

Zhenkai Lou , Fujun Hou , Xuming Lou

Journal of Systems Science and Systems Engineering ›› 2021, Vol. 30 ›› Issue (1) : 44 -58.

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Journal of Systems Science and Systems Engineering ›› 2021, Vol. 30 ›› Issue (1) : 44 -58. DOI: 10.1007/s11518-020-5466-0
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Optimal Dual-Channel Dynamic Pricing of Perishable Items under Different Attenuation Coefficients of Demands

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Abstract

This paper discusses optimal dual-channel dynamic pricing of a retailer who sells perishable products in a finite horizon. The type of product which is equipped with different attenuation coefficients of demands on different sales channels is considered. Novel demand functions for the two channels are proposed according to attenuation coefficients of demands, and then a decision model is constructed, which can be handled stage-by-stage. It is shown that the sales price and the sales quantity of the channel which possesses more market shares are both higher than the ones of the other channel at each sales stage. More importantly, by analyzing the reasonability of the obtained solution, a necessary and sufficient condition is proposed to guarantee that both of the two channels will not stop selling through the entire period. We also propose an approach by the elimination method to deal with cases in which some channel stops selling. Further, we demonstrate that the channel which possesses more market shares is the optimal option when only one channel runs. Finally, numerical examples are presented to investigate the change of sales prices of the two channels under different market potential demands.

Keywords

Dual-channel pricing / multi-stage pricing / attenuation coefficients of demands / stop selling

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Zhenkai Lou, Fujun Hou, Xuming Lou. Optimal Dual-Channel Dynamic Pricing of Perishable Items under Different Attenuation Coefficients of Demands. Journal of Systems Science and Systems Engineering, 2021, 30(1): 44-58 DOI:10.1007/s11518-020-5466-0

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References

[1]

Ahmadi E, Masel D T, Hostetler S, Maihami R, Ghalehkhondabi I. A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time. TOP, 2020, 28: 231-269.

[2]

Avinadav T, Herbon A, Spiegel U. Optimal inventory policy for a perishable item with demand function sensitive to price and time. International Journal of Production Economics, 2013, 144: 497-506.

[3]

Avinadav T, Herbon A, Spiegel U. Optimal ordering and pricing policy for demand functions that are separable into price and inventory age. International Journal of Production Economics, 2014, 155: 406-417.

[4]

Chatwin R E. Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices. European Journal of Operational Research, 2000, 125: 149-174.

[5]

Chen X, Hu P. Joint pricing and inventory management with deterministic demand and costly price adjust. Operations Research Letters, 2012, 40(5): 385-389.

[6]

Chen X, Pang Z, Pan L. Coordinating inventory control and pricing strategies for perishable products. Operations Research, 2014, 62(2): 284-300.

[7]

Chew E P, Lee C, Liu R. Joint inventory allocation and pricing decisions for perishable products. International Journal of Production Economics, 2009, 120: 139-150.

[8]

Chiang W K, Chhajed D, Hess J D. Direct marketing, indirect profits: A strategic analysis of dual-channel supply-chain design. Management Science, 2003, 49(1): 123-142.

[9]

Dye C Y. A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization. Swarm and Evolutionary Computation, 2012, 5: 37-53.

[10]

Dye C Y, Yang C T. Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects. Omega, 2016, 62: 52-67.

[11]

Feng L, Zhang J, Tang W. Dynamic joint pricing and production policy for perishable products. International Transactions in Operational Research, 2018, 25(6): 2031-2051.

[12]

Gallego G, Hu M. Dynamic pricing of perishable assets under competition. Management Science, 2014, 60: 1241-1259.

[13]

Herbon A, Khmelnitsky E. Optimal dynamic pricing and ordering of a perishable product under additive effects of price and time on demand. European Journal of Operational Research, 2017, 260(2): 546-556.

[14]

Huang W, Swaminathan J M. Introduction of a second channel: Implications for pricing and profits. European Journal of Operational Research, 2009, 194(1): 258-279.

[15]

Kaya O, Polat A L. Coordinated pricing and inventory decisions for perishable products. OR Spectrum, 2017, 39: 589-606.

[16]

Levin Y, Mcgill J, Nediak M. Optimal dynamic pricing of perishable items by a monopolist facing strategic consumers. Production and Operations Management, 2010, 19(1): 40-60.

[17]

Liu G W, Zhang J X, Tang W S. Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand. Annals of Operations Research, 2015, 226: 397-416.

[18]

Lou Z, Hou F, Lou X (2020). Optimal ordering and pricing models of a two-echelon supply chain under multiple times ordering. Journal of Industrial and Management Optimization. Doi:https://doi.org/10.3934/jimo.2020109.

[19]

Lou Z K, Lou X M, Dai X Z. Game-theoretic models of green products in a two-echelon dual-channel supply chain under government subsidies. Mathematical Problems in Engineering, 2020, 2425401: 1-17.

[20]

Maher A N A, Hardik N S. Joint pricing and inventory decisions for perishable products with age-, stock-, and price-dependent demand rate. Journal of the Operational Research Society, 2020, 71(1): 85-99.

[21]

Maihami R, Govindan K, Fattahi M. The inventory and pricing decisions in a three-echelon supply chain of deteriorating items under probabilistic environment. Transportation Research Part E, 2019, 131: 118-138.

[22]

Panda S, Saha S, Basu M. Optimal pricing and lot-sizing for perishable inventory with price and time dependent ramp-type demand. International Journal of Systems Science, 2013, 44(1): 127-138.

[23]

Taleizadeh A A, Rezvan-Beydokhti S, Cardenas-Barron L E. Joint determination of the optimal selling price, refund policy and quality level for complementary products in online purchasing. European Journal of Industrial Engineering, 2018, 12(3): 332-363.

[24]

Weatherford R, Bodily S. A taxonomy and research overview of perishable asset revenue management: Yield management overbooking and pricing. Operations Research, 1992, 40: 831-844.

[25]

Zabihi F, Bafruei M K. Pricing and determining the optimal discount time of perishable goods with time and price dependent demand. Rairo — Operations Research, 2017, 51: 509-518.

[26]

Zhang L, Wang J. Coordination of the traditional and the online channels for a short-life-cycle product. European Journal of Operational Research, 2017, 258: 639-651.

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