Journal of Northeastern University(Natural Science)

Journal of Northeastern University ›› 2009, Vol. 30 ›› Issue (9): 1241-1244.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Risk management of virtual enterprise based on stochastic programming and GA

Lu, Fu-Qiang (1); Huang, Min (1); Wang, Xing-Wei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-09-15 Published:2013-06-22
  • Contact: Lu, F.-Q.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

1606

Abstract: The main feature of risk factor in a virtual enterprise (VE) is stochastic, and a stochastic risk factor can be regarded as a stochastic variable with which a stochastic programming model is developed for risk management of VE. To solve the stochastic programming model, a Monte Carlo simulation is combined in genetic algorithm (MCS-GA) since the Monte Carlo simulation is a very effective method to deal with stochastic variables. The simulation analysis is given to illustrate the effectiveness of the MCS-GA, and the proposed model is verified to be an important role to play in the VE.

CLC Number: