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NARRATE: Regenerative Resilient Smart Manufacturing Networks

NARRATE: Regenerative Resilient Smart Manufacturing Networks
旁白:再生弹性智能制造网络
批准号:
10108479
负责人:
金额:
$41.55万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
制造和物流公司会受到不可预见的事件的影响,这些事件会扰乱供应链,导致生产放缓、产量减少和成本增加,使其难以满足客户需求。为了减轻这些风险,制造商必须在整个价值链上建立韧性。Narrate将开发一种使用人工智能、数字孪生和物联网技术的复杂工具,允许对供应链运营进行端到端的可见性和控制,以监控和预测潜在的中断,使供应链能够实现更高的弹性。智能制造保管人(IMC)将利用来自各种生产来源的数据,实现主动决策,并作为供应链网络的神经中枢,提供对智能生产流程和物流的实时监控和协调。将IMC集成到供应链中将使其运营演变为智能制造网络(SMN):一个连接的、自我协调的生态系统,端到端与可编程的制造即服务功能相连接,可以承受中断。数字双胞胎将提供一个可靠的模型来表示SMN的生产和运营数据,以释放更深层次的IMC情报。收集的数据将训练机器学习模型,以预测潜在的中断,如自然灾害或发货延迟。人工智能算法将分析数据,并在仪表板上提供实时报告和可视化。IMC和Digital Twin的互动将产生强大的洞察力和自适应能力,支持SMN在人类监督下发展,方法是在多个外部合作伙伴之间切换服务,以应对风险和中断,并提高整个生产过程的能效、产品循环性和环境可持续性。将通过在相当不同的行业的真实生产环境中测试IMC来评估Narrate的有效性。
英文摘要
Manufacturing and logistics companies are subject to unforeseen events that disrupt the supply chain, causing production slowdowns, reduced output, and increased costs, making it difficult to meet customer demand. To mitigate these risks, manufacturers must build resilience across entire value chains. NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience. The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve centre for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics. Integrating an IMC into a supply-chain will evolve its operations into Smart Manufacturing Network (SMN): a connected and self-orchestrated ecosystem linked end-to-end with programmable Manufacturing-as a-Service capabilities that can withstand disruptions. A Digital Twin will provide a reliable model to represent production and operational data of an SMN to unlock deeper IMC intelligence. Collected data will train machine learning models to predict potential disruptions, such as natural disasters or delayed shipments. AI algorithms will analyse the data and provide real-time reporting and visualization on a dashboard. The IMC and Digital Twin interaction will generate powerful insights and self-adapting abilities that support an SMN to evolve under human supervision by switching services between multiple external partners to respond to risks and disruptions and improve energy efficiency, product circularity and environmental sustainability across the entire production process. The effectiveness of NARRATE will be evaluated by testing the IMC in real production environments in quite diverse industry sectors.
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