Decision Support System for Dynamic Pricing of Parallel Flights

International Journal of Decision Intelligence

مقاله 6، دوره 1، شماره 1، فروردین 2023، صفحه 63-70   

نوع مقاله: Original Article

نویسندگان

Sasan Barak^{* 1}؛ Farhad Etebari²؛ Hamidreza Maghsoudlou³

¹Department of Decision Analytics and Risk, Southampton Business School, University of Southampton, UK

²Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

³Faculty of Economics, VŠB Technical University of Ostrava, Ostrava, 70200, Czech Republic

چکیده

In the recent years, traditional revenue management (RM) models are shifting from them from quantity-based to price-based techniques and incorporating individuals’ decisions within optimization models. In this paper, we have replaced, quantity-based with price-based techniques and proposed the MNL to capture more choice probabilities Computation results indicate the obtained revenue by using proposed model for deciding about the most appropriate product for offering to the customers
In the recent years, traditional revenue management (RM) models are shifting from them from quantity-based to price-based techniques and incorporating individuals’ decisions within optimization models. In this paper, we have replaced, quantity-based with price-based techniques and proposed the MNL to capture more choice probabilities Computation results indicate the obtained revenue by using proposed model for deciding about the most appropriate product for offering to the customers.
In the recent years, traditional revenue management (RM) models are shifting from them from quantity-based to price-based techniques and incorporating individuals’ decisions within optimization models. In this paper, we have replaced, quantity-based with price-based techniques and proposed the MNL to capture more choice probabilities Computation results indicate the obtained revenue by using proposed model for deciding about the most appropriate product for offering to the customers.

کلیدواژه‌ها

price-based techniques؛ multinomial logit model (MNL)؛ dynamic pricing؛ revenue management (RM)