Development of an optimized forage harvest machinery system selection factors analysis model using analytic network process and DEMATEL

Machinery harvest system is one of the most important key links in the whole forage production processing. A model for selecting machines and optimizing machinery matching for harvest system was developed by considering the important factors of environment, social, economic, policy and so on. The factor analysis, evaluation and optimization process was accomplished by using Delphi method, analytic network process (ANP) and DEMATEL. The model was evaluated for three regions with crop of alfalfa. The results showed that this model is possible for different users to select, evaluate and optimized their machinery harvest system.