The leading enterprise-dominated collaborative production mode has become a major trend in large-scale manufacturing, which poses significant challenges to cross-enterprise resource kitting and efficient production collaboration among multiple suppliers. However, for kitting, current research mainly focuses on in-house material assembly kitting, largely overlooking cross-enterprise order production kitting. Traditional order reallocation methods often ignore kitting characteristics, thereby hindering dynamic and sustainable collaboration. To address these gaps, this study proposes a novel kitting-oriented collaborative order reallocation method. This method integrates kitting with order reallocation techniques, characterizes the large-scale collaborative production mode, and establishes a dynamic collaborative control framework. A kitting-oriented multi-objective order reallocation model is then developed, which explicitly incorporates kitting and cost objectives to balance economic efficiency with supply chain stability. An improved Non-Dominated Sorting Genetic Algorithm-II with Repair Mechanism (NSGA-II_RM) is designed, featuring novel chromosome repair and initial population generation operations. Finally, case studies and comprehensive comparative analyses are conducted to validate the feasibility and effectiveness of the proposed method. The results demonstrate its great potential in addressing dynamic cross-enterprise order reallocation and resource kitting problems, while balancing solution quality, computational efficiency, and scalability.