Network schedule leveling optimization model based on unconventional allocation pattern of resource

Traditional algorithm for resource leveling optimization is based on the resource allocation pattern which is conventional distribution, i.e. the amount of resource invested is constant through the time when the leveling activity is underway. However, that assumption is always incompatible with practical working pattern of resource. In practice, resource allocation varies often with different features of activity and resource. The practical situation of multiple resource allocation patterns in network is studied in this paper, and the logical relation and resource constrains among activities under the condition of unconventional resource allocation pattern is analyzed. Mean square deviation of resource is taken as an evaluation function for evaluating resource equilibrium. Network schedule leveling optimization model based on unconventional allocation pattern of resource is constructed. By examples and contrastive analysis, this model is proved to be practical and effective.