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Chinese Journal of Management Science ›› 2005, Vol. ›› Issue (5): 33-38.

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Strategy Research for Online Leasing Problem with Probability Distribution

XU Wei-jun1, XU Yin-feng1,2   

  1. 1. School of Management, Xi’an Jiaotong University, Xi’an 710049, China;
    2. The State Key Lab for Manufacturing Systems Engineering, Xi’an 710049, China
  • Received:2004-05-19 Revised:2005-08-31 Online:2005-10-28 Published:2012-03-07

Abstract: In economic system,the decision making is representing the online characteristics.Dealing with online decision problem,the traditional Bayesian analysis often depends on the probabilitic assumptions so that it gives out the optimal result in the probability sense.However,there is coming a focus in the algorithmic fields in the recent years,which is the online algorithms and competitive analysis.It gives a new angle of view to deal with online problem,but this method always intentionally avoids probabilistic distribution.For the online leasing problem,beacuse its input structure has a simple and good statistical property,it would be a waste to ignore this knowledge which is precisely what the traditional competitive ratio does.In this paper,we introduce the information distribution of future input into the competitive analysis so as to build online leasing model with probability distribution,and obtain their optimal competitive strategies and competitive ratios.

Key words: online algorithm, financial leasing, competitive analysis, competitive ratio

CLC Number: