Based on virtual manufacturing, a new paradigm of intelligent manufacturing, parallel manufacturing is proposed. It integrates the concepts of cyber-physical-social system (CPSS) and industrial IoM by considering the complexity of physical, information and social systems. Based on ACP (artificial systems, computational experiments, parallel execution) method, an intelligent system of steel manufacturing is developed to realize parallel evolution, closed-loop feedback and cooperative optimization. It consists of three parts, namely, descriptive intelligence through software defined steelworks (SDS), predictive intelligence based on computational experiment and optimization, and prescriptive intelligence using parallel execution between virtuality and reality. Through the comprehensive utilization of descriptive, predictive and prescriptive intelligence, intelligent production is realized to transparentize and digitize the manufacturing system.

This paper proposes a new intelligent plant framework, to realize integrated innovation of process technoly (PT), equipment technology (ET), operation technology (OT), automation technology (AT) and information technology (IT)to solve the comprehensive problems of production control, production management and enterprise operation by industrial integrated solution APPs, so that enterprises can always firmly control their initiatives to develop industrial big data and artificial intelligence. At the same time, an information security system of industrial control is also proposed based on deep defense, combined hardware and software to provide safety assurance for the construction of intelligent plant in process industry.

The purpose of intelligent manufacturing in iron and steel industry is to optimize the structure and process of iron and steel process so as to realize dynamic, orderly, coordinated and continuous operation and multi-objective optimization in a whole. In this paper, the main contents and key technologies of structural optimization and program optimization in steelworks are introduced, including multiPDCA closed loop for quality management and control, integrated planning and scheduling, coordination between material flow and energy flow, and multi-unit coordination optimization. Some common problems are analyzed, which the steel industry needs to overcome to make breakthrough in promoting intelligent manufacturing and some promising implementation paths are proposed.

The development of intelligent tire is in line with the automatic, informational, intelligent and networked trend of the tire manufacturing process, and it is the fusion result of information technology and tire technology, so the intelligent tire creates excellent opportunities for the informational, intelligent and networked development of tire intelligent manufacturing. The condition monitoring method of intelligent tires provides convenience for the information management of the whole life cycle of tire production, warehousing, transportation, sales and maintenance services. The modeling and control technology of intelligent tires facilitates the realization of digital design and virtual simulation of tires and provides convenience for the intellectualization of tire manufacturing process. Tire condition automatic regulating system can collect tire information under different road conditions and different tire pressure and different vehicle speed, so it provides networked convenience for the tire manufacturing process. However, there are some limitations on the tire materials and manufacturing technology, sensors and chip technology, test technology and intelligent application related with intelligent tires, so the intelligent tire technology also provides some challenges for the implementation of tire intelligent manufacturing.

This paper concerns how to apply machine vision and virtual-reality technologies into industrial robots and Internet of Things and to combine big data and cloud computing to construct a parallel manufacturing infrastructure. A worldwide flexible supply chain of footwear and garment industries is introduced to demonstrate the workflow and efficiency of parallel manufacturing. Firstly, a virtual factory is constructed in the cloud, where management policies and decision control data are synchronized with the data generated by highly automated production equipment in the workshop. The virtual factory, executing in parallel with the physical one, supplies tested and optimized decisions and guides the production process in physical factories. To provide worldwide service, a global and distributed cooperative production management platform is built based on the industrial Internet of Things, namely CIXING's cloud manufacturing platform. It operates with low production cost, high work efficiency and reduced labor numbers. It has also been listed as one of the national intelligent manufacturing pilot demonstration project by the Chinese Ministry of Industry and Information Technology.

This paper addresses the basic issues in intelligent manufacturing, from fundamental concepts to planning and implementation, with respect to th technical and economic feasibility. In the process of promoting intelligent manufacturing, enterprises should take their own technical conditions into account, avoiding blindly pursuing the technology novelty. Only in this way can we ensure a sound development of the intelligent manufacturing.