The traditional production paradigm of large batch production does not offer flexibility towards satisfying the requirements of individual customers. A new generation of smart factories is expected to support new multi-variety and small-batch customized production modes. For that, Artificial Intelligence (AI) is enabling higher value-added manufacturing by accelerating the integration of manufacturing and information communication technologies, including computing, communication, and control. The characteristics of a customized smart factory are to include self-perception, operations optimization, dynamic reconfiguration, and intelligent decision-making. The AI technologies will allow manufacturing systems to perceive the environment, adapt to the external needs, and extract the process knowledge, including business models, such as intelligent production, networked collaboration, and extended service models. This paper focuses on the implementation of AI in customized manufacturing (CM). The architecture of an AI-driven customized smart factory is presented. Details of intelligent manufacturing devices, intelligent information interaction, and construction of a flexible manufacturing line are showcased. The state-of-the-art AI technologies of potential use in CM, i.e., machine learning, multi-agent systems, Internet of Things, big data, and cloud-edge computing are surveyed. The AI-enabled technologies in a customized smart factory are validated with a case study of customized packaging. The experimental results have demonstrated that the AI-assisted CM offers the possibility of higher production flexibility and efficiency. Challenges and solutions related to AI in CM are also discussed.
翻译:大型批量生产的传统生产模式并不能灵活地满足个别客户的要求; 新一代智能工厂预计将支持新的多层次和小批量定制生产模式; 为此,人工智能(AI)通过加速整合制造和信息通信技术,包括计算、通信和控制,使增值更高的制造业成为可能; 定制智能工厂的特点包括自我认知、操作优化、动态重组和智能决策; AI技术将使制造系统能够感知环境、适应外部需要并提取流程知识,包括智能生产、网络协作和扩展服务模式等商业模式; 本文侧重于在定制制造(CM)中实施AI; 介绍了由AI驱动的定制智能工厂的结构; 展示了智能制造装置、智能信息互动和建设灵活制造线的详情; 互联网、即机器学习、多剂系统、物联网、大数据、云端计算等最新知识,并提取流程知识,包括智能生产模式; 测试了AI-CM软件的升级能力; 测试了AI-CM软件的升级能力; 测试了AI-CI-C软件的升级能力; 也展示了AI-A-A-CM软件的升级能力。