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Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2023-05-24 , DOI: 10.1109/tii.2023.3272276
Qiang Liu 1 , Jialu Fan 1 , Jin-Xi Zhang 1 , Yaochu Jin 2
Affiliation  

Intelligent manufacturing has promoted the development of Industry 4.0 and enabled the manufacturing industry to gradually move into the stage of intelligence with the rapid development of the Internet of Things and the Industrial Internet. An intelligent manufacturing system is a manufacturing system that can automatically adapt to changing environments and varying process requirements with minimal supervision and assistance from operators. Therefore, intelligent manufacturing has become a recognized core high technology to enhance the overall competitiveness of the manufacturing industry. The goal of intelligent manufacturing is to make production resources form a circular network with the characteristics of autonomy, adjustability, and configurability, to develop production processes flexibly, and to realize the efficiency of individual customization. For example, by analyzing the factory floor data, equipment monitored data, and the enterprise manufacturing database, it could help to store, explore, and make complex decisions for the manufacturing system. To achieve this goal, modern information technologies, such as artificial intelligence, big data, cloud computing, and mobile Internet, modeling, control, and optimization need to be integrated and collaborated with the physical resources of the manufacturing process, which triggers new theory, solution algorithms, and application scenarios.

中文翻译:

客座社论:先进智能制造系统:理论、算法和工业应用

随着物联网、工业互联网的快速发展,智能制造推动了工业4.0的发展,使制造业逐步迈入智能化阶段。智能制造系统是一种制造系统,可以自动适应不断变化的环境和不同的过程要求,而操作员的监督和协助最少。因此,智能制造已成为公认的提升制造业综合竞争力的核心高新技术。智能制造的目标是使生产资源形成具有自主性、可调节性、可配置性的循环网络,灵活发展生产过程,并实现个性化定制的效率。例如,通过分析工厂车间数据、设备监控数据和企业制造数据库,可以帮助制造系统存储、探索和做出复杂的决策。为实现这一目标,需要将人工智能、大数据、云计算、移动互联网等现代信息技术、建模、控制、优化与制造过程的物理资源进行集成协同,从而引发新的理论,求解算法和应用场景。
更新日期:2023-05-26
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