- 著者
- Masaru Shintani Ken Umeno
- 出版者
- The Japan Society for Industrial and Applied Mathematics
- 雑誌
- JSIAM Letters (ISSN:18830609)
- 巻号頁・発行日
- vol.14, pp.49-52, 2022 (Released:2022-04-06)
- 参考文献数
- 13
- 被引用文献数
- 1
We propose a new dynamic pricing algorithm based on the universal exponential law of booking curves in services with reservations. The algorithm includes a parametric learning model which makes it possible to simulate the effect of changes in prices on quantity demanded from historical data continuously for practical use. Furthermore, we show an example, where some real data in a hotel applies for the learning model. Our proposed algorithm with the learning model, which can dynamically update the optimum parameters, is envisaged to be utilized as a practical dynamic pricing strategy.
- 著者
- Masaru Shintani Ken Umeno
- 出版者
- The Japan Society for Industrial and Applied Mathematics
- 雑誌
- JSIAM Letters (ISSN:18830609)
- 巻号頁・発行日
- vol.14, pp.45-48, 2022 (Released:2022-04-06)
- 参考文献数
- 12
- 被引用文献数
- 2
The exponential law has been discovered in various systems around the world. In this study, we introduce two existing and one proposed analytical method for exponential decay time-series predictions. The proposed method is given by a linear regression that is based on rescaling the time axis in terms of exponential decay laws. We confirm that the proposed method has a higher prediction accuracy than existing methods by performance evaluation using random numbers and verification using actual data. The proposed method can be used for analyzing real data modeled with exponential functions, which are ubiquitous in the world.