Service recommendation method for therequirement of production factors under industrial Internet environment

With the emergence of the service-based manufacturing model, the industrial Internet platform can configure the required production factor services to complete production tasks. In the industrial production process of industrial Internet environment, a task may require the coordination of multiple or multiple production factor services to complete. As the variety and number of manufacturing service resources increase, service composition becomes more difficult. At the same time, the effectiveness of service collaboration and service quality are the key factors for the success of the entire service composition process. In view of this, based on the historical data of service invocation in the industrial Internet platform, the effectiveness of candidate service collaboration was evaluated by combining Frequent Pattern growth CFP-Growth) and SimRank algorithm. Based on the collaboration effectiveness index and combined with the multi-objective evolutionary algorithm, a filtering method named Multi-Objective Evolutionary Algorithm with Collaboration Effectiveness Indicator Filter (MOEA +CEIF) was proposed to recommend a service combination scheme with high collaboration effectiveness and service quality optimization for users. Finally, the production and assembly process of ships was taken as an example to verify the effectiveness of the proposed method through a simulation data set. © 2024 CIMS. All rights reserved.