Integrating Dynamic Pricing and Replenishment Decisions Under Supply Capacity Uncertainty

Qi Feng ()
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Qi Feng: McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712

Management Science, 2010, vol. 56, issue 12, 2154-2172

Abstract: This paper examines an integrated decision-making process regarding pricing for uncertain demand and sourcing from uncertain supply, which are often studied separately in the literature. Our analysis of the integrated system suggests that the base stock list price policy fails to achieve optimality even under deterministic demand. Instead, the optimal policy is characterized by two critical values: a reorder point and a target safety stock. Under this policy, a positive order is issued if and only if the inventory level is below the reorder point. When this happens, the optimal order and price are coordinated to achieve a constant target safety stock, which aims at hedging the demand uncertainty. We further investigate the profit improvement obtained from deploying dynamic pricing, as opposed to static pricing. Our results indicate that either supply limit or supply uncertainty may induce a significant benefit from dynamic pricing, and the compound effect of supply limit and uncertainty can be much more pronounced than the individual effects. Whether or not the supply capacity is limited has a major implication on the value of dynamic pricing. Under unlimited supply, dynamic pricing is more valuable when procurement cost is high or when demand is more sensitive to price. With limited supply, however, the capacity restriction tends to be relaxed, reducing the value of dynamic pricing.

Keywords: inventory; stochastic; policies; pricing (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (50)

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