Abstract
This paper presents a novel multi-objective mean–variance mathematical programming approach to the dynamic pricing problem for seasonal products. The basic pricing scheme is a combination of phase-out pricing that gradually lowers the price over time and clearance pricing in which the end-of-season inventory is sold altogether at a lower price to a wholesaler in order to make room for the next season’s products. The model is then applied to a real-world case of a Jeans retailer in three different risk attitudes. Results show that the retailer should follow an almost fixed non-dynamic pricing strategy in the risk-taking attitudes, and a more flexible dynamic pricing strategy in risk-averse attitudes.
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Dehghan Nayeri, M., Haghbin, AN., Mohammadi-Balani, A. et al. A multi-objective mean–variance mathematical programming approach to combined phase-out and clearance pricing strategy for seasonal products: case study of a Jeans retailer. J Revenue Pricing Manag 19, 210–217 (2020). https://doi.org/10.1057/s41272-019-00219-0
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DOI: https://doi.org/10.1057/s41272-019-00219-0