Non-cooperative Competition Among Revenue Maximizing Service Providers with Demand Learning

摘要：

This research 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.

作者: Changhyun Kwon Terry L. Friesz Reetabrata Mookherjee Tao Yao Baichun Feng

作者单位: Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, 244 Leonhard Building, University Park, Pennsylvania 16802, USA

会议类型: 国际会议

会议名称: 2007 International Conference on Manufacturing & Service Operations Management(2007制造与服务运作管理国际学术会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-06-18（万方平台首次上网日期，不代表论文的发表时间）