Manufacturing resources are the core resources for intelligent manufacturing enterprises. It is of great practical significance to improve the reliability and stability of production control in a dynamic production environment with long-term frequent disturbances. This paper explores the simulation system design and development for combined service optimization and production control of intelligent manufacturing. After specifying the system architecture, modelling and matching were carried out according to the specific requirements of intelligent manufacturing combined service objects in the production process. Next, a six-tuple was introduced into the service provided by the production control system combined with the Internet of things (IoT), the formal definition was given to the IoT service and intelligent manufacturing combined service, and the key parts were described in detail with the overall service description and combined service description of the six-tuple as examples. Through experiments, the results of the simulation system were outputted.