Earticle

초록

영어

In order to improve the prediction accuracy of reverse returned logistics, considering it has the characteristics of high volatility and uncertainty, the paper used the theory of Markov Chain to modify the result of Grey prediction. And a Grey-Markov prediction model was established. Several parallel region has been divided used the prediction curve of Grey prediction model as symmetric center. And each region was a state interval. A practical example show that the average relative error rate and the variance ratio of Grey-Markov prediction model was smaller, and the prediction accuracy is higher comparing with the Grey prediction model. The model is effective and feasible.

목차

Abstract
 1. Introduction
 2. Mathematical Model
  2.1. The Grey Prediction Model
  2.2. The Markov Prediction Model
  2.3. The Grey-Markov Prediction Model
 3. Practical Example
 4. Conclusion
 References

키워드

저자

• Yuming Luo [ Department of Economics and Management, Luoyang Institute of Science and Technology, Luoyang, Henan, 471023, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605