Abstract
This paper studies a dynamic pricing problem for a monopolist selling multiple identical items to potential buyers arriving over time, where the time horizon is infinite, the goods are imperishable and the buyers’ arrival follows a renewal process. Each potential buyer has some private information about his purchasing will, and this private information is unknown to the seller and therefore characterized as a random variable in this paper. Thus, the buyers may have multi-unit demand. Meanwhile, the seller needs to determine the optimal posted price such that his expected discounted revenue is maximized. This problem is formulated as a stochastic dynamic programming in this paper and then how to obtain the solution is explored. A numerical study shows that the optimal posted price performs better than that of optimal fixed price, and this advantage becomes obvious as the interest rate and/or the number of initial items increases.
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This work was supported partially by the Natural Science Foundation of China under Grant No. 71071106 and 70971092, Natural Science Foundation of Zhejiang University of Technology (2011XY006), supported partially by Program for Changjiang Scholars and Innovative Research Team in University No. IRT1028, and supported partially by Program for New Century Excellent Talents in Universities of China.
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Wang, C., Tang, W. & Zhao, R. The infinite time horizon dynamic pricing problem with multi-unit demand. Optim Lett 7, 1125–1138 (2013). https://doi.org/10.1007/s11590-012-0487-3
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DOI: https://doi.org/10.1007/s11590-012-0487-3