Resource Allocation Based on Prospect Theory in Cloud Manufacturing Environment

摘要

In cloud manufacturing (CMfg) environment, a wide range of manufacturing resources are integrated through the network, to provide customers services with high-quality and low-cost safely and reliably. The problem of resource allocation in cloud manufacturing environment is the combination optimization problem of manufacturing tasks to resource providers. Considering the expectations of different customers, we have proposed an integer non-linear programming model based on prospect theory. An improved genetic algorithm has been put forward to solve the model. Moreover the results of the numerical examples show the effectiveness of the approach proposed in this paper in terms of the quality of solution.