Abstract
We consider a dynamic pricing problem for a company that sells a single product to a group of price-sensitive customers over a finite time horizon. The objective is to set the prices over time so as to maximize revenue. Two price-sensitivity models are studied: multiplicative and additive demand change. We develop a polynomial-time algorithm for the multiplicative model. In contrast, we prove that the problem under additive demand change is NP-hard and admits an FPTAS.
Original language | English |
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Pages (from-to) | 175-179 |
Number of pages | 5 |
Journal | Operations Research Letters |
Volume | 40 |
Issue number | 3 |
DOIs | |
Publication status | Published - May 2012 |
Keywords
- Dynamic pricing
- Elastic demand
- Revenue optimization
- Computational complexity
- Approximation scheme
- STRATEGIES