Resource Allocation Problem in Port Project Portfolio Management

Abstract

Due to the increased complexity of port operations, port project portfolio management has become more and more essential. However, in port project portfolio management, the demand for resources is usually uncertain. In order to reduce the cost and the difficulty of resource allocation, we pay more attention to balancing resource allocation than minimizing the maximum value of the consumption of resources. Thus we consider a resource leveling problem in port project portfolio management. In this paper, we introduce a combination of entropy weight and particle swarm optimization algorithm. This proposed method is applied to a case study. And the results show that this method can achieve satisfactory performance in practice.