Research on GA/CPM/MarKov Integrated Programming of Dynamic Risk for Virtual Enterprise

With the emergence of global economy and in order to respond fast to the constantly changing market demand, virtual enterprises arise at this historic moment. Risk management of virtual enterprise draws attentions of researchers. This paper proposes a three-level model to deal with the dynamic risk of virtual enterprise, based on nonlinear integer programming, network analysis, and Markov process. The model focuses on project organization mode and dynamic features of risk in virtual enterprise. It helps to determine the completion time of each process with the objectives of maximizing the minimum completion probability of all processes under the constraints of project investment, customers´ due dates, and process quality. Furthermore, an algorithm of integrated GA/CPM/Markov is designed to solve the problem and its efficiency is shown by instances analysis.