Monte-Carlo Simulation based Risk Mitigation in Supply Networks
Networking is an inevitable solution to help companies make a response to dramatic changes in market environment rapidly. Such interdependence in networks presents great operating risk to all of the participants. This paper introduces the risk identification, classification and assessment of in supply networks. An optimal production and inventory location problem in supply networks under demand and transmission capacity uncertainty is presented and a Monte Carlo simulation method is used to solve this linear mixinteger stochastic programming problem. Some study cases are given at the end of the paper.
supply networks risk mitigation monte carlo method stochastic programming
Gaorui Yao
School of Business Xian University of Finance and Economics Xian, Shaanxi, China
国际会议
成都
英文
248-252
2010-07-09（万方平台首次上网日期，不代表论文的发表时间）