“ChainAI: AI-Enabled Customised Workflows for Smarter Supply Chain Management”

–ChainAI：支持人工智能的定制工作流程，实现更智能的供应链管理 –

• 批准号: 10077383
• 金额: $ 5.73万
• 依托单位: DATA PERFORMANCE CONSULTANCY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10077383
• 关键词: ChainAI; AI; Enabled; Customised; Workflows

The project will leverage the use of Data Performance Consultancy's new data platform Buttress, which is a digital twin framework and which has received funding previously from Innovate UK and we will look at how Artificial Intelligence (AI) and Machine Learning (ML) techniques can enhance the offer of Buttress specifically in a number of verticals but for the purposes of this application we will be looking at Transport and specifically Supply Chain Management (SCM) in the Logistics spaceThe proposed ChainAI project aims to explore the feasibility of leveraging AI solutions to create custom workflows for SCM that optimise each stage of the process, improving efficiency, effectiveness, and performance in SCM and ultimately enhancing supply chain operations and outcomes. The project will require a deeper insight into supply chain data to identify key patterns, trends, and opportunities for improvement. By gaining a thorough understanding of the supply chain process at a granular level, the project will pave the way towards producing AI-generated workflows that are tailored to the specific needs at each stage of the process, from planning and sourcing to production.We will look to include various data sources based on legacy systems, new applications and hardware such as secure Industrial Internet of Things devices based on a new ISO Standard the Open Connectivity Foundation.

该项目将利用Data Performance Consulting的新数据平台巴特赖斯，这是一个数字孪生框架，此前已获得Innovate UK的资助，我们将研究人工智能(AI)和机器学习(ML)技术如何特别在多个垂直领域增强巴特赖斯的服务，但出于此应用程序的目的，我们将关注物流领域的运输，特别是供应链管理(SCM)拟议的ChainAI项目旨在探索利用AI解决方案为SCM创建自定义工作流的可行性，以优化流程的每个阶段，提高SCM的效率、有效性和绩效，并最终增强供应链运营和成果。该项目将需要对供应链数据有更深入的了解，以确定关键模式、趋势和改进机会。通过深入了解供应链流程，该项目将为生成人工智能生成的工作流程铺平道路，这些工作流程针对流程的每个阶段(从规划和采购到生产)的特定需求而量身定做。我们将寻求包括基于遗留系统的各种数据源、新应用程序和硬件，例如基于新ISO标准的安全工业物联网设备开放连接基金会。