Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 293, Issue 2, Pages 594-602Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2020.08.002
Keywords
Pricing; Inventory; Demand uncertainty; Dynamic programming; Perishable products; Substitution
Funding
- Engineering and Physical Sciences Research Council [EP/P021042/1]
- EPSRC [EP/P021042/1] Funding Source: UKRI
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This paper develops a model for dynamic pricing and inventory decisions for multiple substitutable and perishable products under a multiple-period lifetime. By maximizing the total expected profit over the lifetime, optimal order quantities and prices are obtained. Analytical properties of the optimal policy are provided, and experimental results show the benefits of considering pricing and inventory decisions simultaneously for substitutable products.
In this paper, we develop a model for dynamic pricing and inventory decisions for multiple substitutable and perishable products under a multiple-period lifetime. Retailers place orders at the beginning of the first period, and products will be sold at full price during that period. All leftover products will then be carried over to the subsequent periods and sold at discounted prices. Demands for leftover products are assumed to follow a linear stochastic model depending on the discounted prices of the substitutable products. The optimal order quantities and prices are obtained by maximizing the total expected profit over the lifetime, taking into account the revenue, the backorder cost and the holding cost. We provide analytical properties of the optimal policy such as the concavity of the value functions and then utilise these in the numerical scheme for finding the optimal prices and ordering quantities. Experimental results are reported through a case study of a high-street fashion company, demonstrating the benefits of considering pricing and inventory decisions simultaneously for substitutable products. (C) 2020 Published by Elsevier B.V.
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