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Peng Hu

Researcher at Huazhong University of Science and Technology

Publications -  15
Citations -  395

Peng Hu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Dynamic pricing & Limit price. The author has an hindex of 7, co-authored 11 publications receiving 280 citations.

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Dynamic Stochastic Inventory Management with Reference Price Effects

TL;DR: A transformation technique is introduced that allows for the optimality of a reference-price-dependent base-stock list-price policy, which is characterized by a base- stock level and a target reference price, and shows that in the steady state of the model with the reference price effect, the optimal price is lower while the optimal base-stocks level is higher than their counterparts in the model without the reference prices.
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Efficient Algorithms for the Dynamic Pricing Problem with Reference Price Effect

TL;DR: A finite-horizon dynamic pricing model in which demand at each period depends on not only the current price but also past prices through reference prices, which enables strongly polynomial-time algorithms to compute the optimal prices for several plausible scenarios to provide an upper bound on the optimal objective value.
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Technical Note—Dynamic Pricing with Gain-Seeking Reference Price Effects

TL;DR: It is shown for a special case that a cyclic skimming pricing strategy is optimal, and conditions to guarantee the optimality of high-low pricing strategies are provided.
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Joint Inventory and Markdown Management for Perishable Goods with Strategic Consumer Behavior

TL;DR: A novel model on a firm’s dynamic inventory and markdown decisions for perishable goods, where every period consists of two phases, clearance phase and regular-sales phase, shows that the firm should either put all of the leftover inventory on discount or dispose all of it, and the choice depends on the amount of leftover inventory from the previous period.
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Joint pricing and inventory management with deterministic demand and costly price adjustment

TL;DR: A joint inventory and pricing model of a single product over a finite planning horizon with deterministic demand with polynomial time algorithms to maximize the total profit is analyzed.