Cross-organizational Full-chain Intelligent Collaborative Service Method in Cloud Manufacturing

For the problem of difficulty in cross-organizational full-chain large-scale collaborative service in cloud manufacturing, in order to enable a quality subject to have the capability of full connection and full linkage, intelligent optimized decision-making and agile business support, a method for considering the components of collaborative service elements at different levels and scales is proposed, and a collaborative service model including positive attributes and negative attributes is established. For solving of cross-organizational large-scale collaborative service being an NP-hard problem, this paper proposes a multi-block two-stage genetic algorithm that reasonably and effectively accelerates the optimization speed to achieve the purpose of intelligent cross-organization large-scale optimization. The proposed method is applied to the production process of computer power in the electronics industry, and experimental results show the effectiveness of the proposed method.