An aggregated-tasks oriented manufacturing services scheduling toward industrial Internet platforms

For pursuing smart manufacturing, the industrial Internet platforms have got more and more attention. An industrial Internet platform can gather almost all information flows, manufacturing capacities and production tools in the form of services to achieve sharing and collaboration of resources, subjects and knowledge. The aggregation characteristic of the platform results a problem, namely the distributive services scheduling for the concurrently submitted manufacturing tasks, which hinders the further application of an industrial Internet platform. In this paper, it aims to propose an aggregated-tasks oriented manufacturing services scheduling approach toward industrial Internet platforms for improving their effectiveness and global performance. Firstly, the dual-aggregation of manufacturing services and tasks in the platform is analyzed. Then based on aggregated manufacturing services collaboration, a services-aggregation aware modeling for the aggregated tasks is presented to describe the dual-aggregation characteristic and decompose the aggregated tasks. Finally, a manufacturing services scheduling optimization model is established and solved by particle swarm optimization algorithm. The experimental result proves the effectiveness of the proposed scheduling approach for the dual-aggregation of manufacturing services and tasks on the platform.