IEEE P 2671, IEEE Standards for General Requirements of Online Detection Based on Machine Vision in Intelligent Manufacturing
IEEE P 2672, IEEE Guide for General Requirements of Mass Customization
IEEE P 2934-2022, IEEE Standard for Logistics Operation Process in Smart Factory
IEEE P 3144, IEEE Standard for Digital Twin Maturity Model and Assessment Methodology in Industry
IEEE P 3145, IEEE Standard for general technical requirement of Auxiliary Warehouse in Smart Factory
Current Standards Needs
IEEE P 2671: Currently there is no standard for online detection based on machine vision. Online detection based on machine vision integrates with machine vision, RFID, sensor networks and other new generation of information technology and artificial intelligence technology, and can effectively protect the product accuracy in the aspects of dimensional controls, accurate positioning, feature matching etc.. Compared with the traditional detection method, the application of on-line detection based on machine vision can greatly improve the efficiency of detection, reduce the defective rate and improve the consistency of production. In manufacturing enterprises of integrated circuits, automotive, steel and other industries, online detection based on machine vision has become more and more popular. In terms of the enterprise level, the standard for online detection based on machine vision can help enterprises to implement the online detection technology, strengthen quality control, reduce defective rate, and improve production consistency. Moreover, this standard can be applicable to guide the procurement and installation process of online detection system based on machine vision, and can be used as a reference.
IEEE P 2672: Product and service end users are increasingly requiring individualized customization of products to meet their various needs. Thus, standards which support mass customization are needed to assist enterprises in realizing real-time and accurate understanding of consumer requirements, to enable enterprises to scale purchase or production based on the requirements of customization, to reduce or eliminate the stock related costs, and to transform from selling products to providing services. These standards will help create efficient and integrated collaboration between the manufacturing industry and its upstream or downstream industries, and promote synergistic development and mutual service arrangements between enterprises and accelerate the upgrade of consumption patterns.
IEEE P 2934-2022: The efficient operation of a smart factory and the effective control of production costs all require the support of a reasonable logistics operation process. Existing logistics standards only involve part of the logistics processes and do not focus on smart factories. There is a need for improved smart factory logistics operations processes via standardization. Under the guidance of system engineering principles and methods, the standardization of logistics operation processes increases the organic matching of smart logistics
IEEE P 3144: Digital twin integrates various kinds of technologies, and has been widely used in numerous industrial scenarios. However, there is no consensus on digital twin application pattern, value, and capability level. Therefore, this standard is in need to be established in order to accelerate the innovation and practicing of digital twins in industry.
IEEE P 3145: Current industry standards focus on smart factory construction, defining the configuration of basic intelligent production facilities in a smart factory. There is no standard for the definition and use of auxiliary warehouses in smart factories. A standard is needed to promote the transformation from manual warehouse operation to smart warehouse operation, and thereby enable improved smart factory operation efficiency.
Current Standards Needs
IEEE P 2671: Discrete and Processing Manufacturing Enterprises, Manufacturers, Equipment Suppliers, Components and Parts Suppliers, Solution Providers, Production Line Implementation and Advisory Service Suppliers.
IEEE P 2672: Manufacturers, Service Suppliers, Network Equipment Manufacturers, Equipment Suppliers, Components & Parts Suppliers, Solution Providers, Industrial Design Resources, Public Users.
IEEE P 2934: Discrete manufacturers, Logistics service providers, Automotive manufacturers.
IEEE P 3144: Stakeholders include digital twin users, including industrial enterprises, governments, research institutions, colleges and universities; digital twin suppliers, involving digital twin model suppliers, modeling tool suppliers, digital thread tool suppliers; digital twin data collectors, who are engaged in providing facilities that collecting data in multiple formats; industrial internet platforms that provide digital twin application systems; and digital twin ecosystem partners.
IEEE P 3145: Discrete manufacturers, equipment manufacturers and logistics system manufacturers.
