Multi-resource leveling based on entropy and fuzzy comprehensive selection relation

Resource leveling optimization with fixed project duration is one classic problem but also hard to solve. It becomes more difficult when multiple resources are considered. According to the defects existing in current research, this paper puts forward an effective method to solve the problem of multi-resource leveling in construction management. First of all, this paper determines the weights of all kinds of resources by establishing fuzzy comprehensive selection relation of their importance degree. Then, by bringing in the concept of resource entropy, resource leveling evaluation index based on entropy function is proposed, and furthermore, the fundamental principle and optimization procedure of the method mentioned above are presented. Finally, the efficiency and validity of this method are tested through case study, the result of which shows that the method brought forward in this paper is effective.