The invention discloses a service
combination method for driving benefit balance of both parties by cooperation capability in a
cloud manufacturing environment, which comprises the following steps of: loading a manufacturing task to be processed at the current moment, decomposing the manufacturing task into a plurality of sub-tasks, acquiring a plurality of state characteristics of each sub-task at the current moment, and splicing the state characteristics into a
state vector representing the current state of the sub-task; and inputting the
state vector representing the current state of the subtask into a
reinforcement learning model of the
cloud manufacturing platform, selecting a real-
time optimal service with the maximum probability distribution from the candidate
service set according to a pre-training parameter of the
reinforcement learning model, and sequentially selecting a corresponding real-
time optimal service for each subtask according to the execution sequence number, the real-
time optimal services of all the sub-tasks are combined in sequence until the optimal service combination chain of the manufacturing task is constructed, the cooperative feasibility and operation stability between the services are considered, the service combination chain with the higher
adaptive capacity is generated, and the service ecological
sustainability and the development capacity of a platform are remarkably improved.