首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Non-cooperative competition among revenue maximizing service providers with demand learning
Authors:Changhyun Kwon  Terry L Friesz  Reetabrata Mookherjee  Tao Yao  Baichun Feng
Institution:1. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA;2. Zilliant Inc., 3815 S Capital of Texas Hwy, Suite 300, Austin, TX 78704, USA
Abstract:This paper recognizes that in many decision environments in which revenue optimization is attempted, an actual demand curve and its parameters are generally unobservable. Herein, we describe the dynamics of demand as a continuous time differential equation based on an evolutionary game theory perspective. We then observe realized sales data to obtain estimates of parameters that govern the evolution of demand; these are refined on a discrete time scale. The resulting model takes the form of a differential variational inequality. We present an algorithm based on a gap function for the differential variational inequality and report its numerical performance for an example revenue optimization problem.
Keywords:Revenue management  Pricing  Demand learning  Differential games  Kalman filters
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号