This paper dealt with composite scheduling problems which combine manufacturing scheduling problems and/or transportation routing problems.Two scheduling models were formulated as the elements of the composite scheduling model,and the composite model was formulated composing these models with indispensable additional constraints.A hybrid genetic algorithm was developed to solve the composite scheduling problems.An improved representation based on random keys was developed to search permutation space.A genetic algorithm based dynamic programming approach was applied to select resource.The proposed technique and a previous technique are compared by three types of problems.All results indicate that the proposed technique is superior to the previous one. This paper dealt with composite scheduling problems which combine manufacturing scheduling problems and / or transportation routing problems. Two tuning models were formulated as the elements of the composite scheduling model, and the composite model was formulated composing these models with indispensable additional constraints. An algorithm was developed to solve the composite scheduling problems. An improved representation based on random keys was developed to search permutation space. A genetic algorithm based dynamic programming approach was applied to select resources. The proposed technique and a previous technique are compared by three types of problems.All results indicate that the proposed technique is superior to the previous one.