主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2010, Vol. 18 ›› Issue (6): 131-136.

Previous Articles     Next Articles

The Minimal Risk Strategy of the Online Newsboy Problem Based on Probabilistic Forecast

ZHANG Gui-qing1, XU Yin-feng1,2   

  1. 1. School of Management, Xi'an Jiaotong University, Xi'an 710049, China;
    2. State Key Lab for Manufacturing Systems Engineering, Xi'an 710049, China
  • Received:2009-07-16 Revised:2010-11-09 Online:2010-12-30 Published:2010-12-30

Abstract: The newsboy problem has always been an important issue in inventory management.The exiting newsboy models describe and measure risk using Mean-Variance methodology and expected utility objective.These methods assume full knowledge of the demand probability distribution,however,in reality,it is often difficult to completely characterize the demand.This paper selects probability forecast to describe limited demand distribution,and constructs an online risk-reward model for the newsboy problem under probabilistic forecasts.Comparing with the existing studies,this model can help the new sboy choosing the minimal risk strategy with great flexibility,according to his own restrained reward and probabilistic forecast.

Key words: newsboy problem, online algorithm, risk, probabilistic forecast

CLC Number: