Research on Market Parameter Estimation Problem in E-business Reverse Logistics

Abstract

Pricing and return policy is of great significance for the Internet sellers in E-business environment. This paper establishes an optimization model of pricing and return policy in the statistics perspective and obtains a solution. It’s of a decisive impact to determine the market parameter on making an optimal policy. The authors present a method to estimate the market parameter according to sales data and use Monte Carlo simulation techniques to simulate the process of sale. Then the authors also verify the feasibility of this method and lay out the estimation performance of this method. Based on this method, this paper provides a solid theoretical basis and data support for enterprises to make better decision.