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Made Smarter Innovation - Digital Medicines Manufacturing Research Centre

Made Smarter Innovation - Digital Medicines Manufacturing Research Centre
更智能的创新 - 数字药品制造研究中心
批准号:
EP/V062077/1
负责人:
Alastair Florence
金额:
$648.11万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

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项目成果

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中文摘要
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英文摘要
Powered by data, Industrial Digital Technologies (IDTs) such as artificial intelligence and autonomous robots, can be used to improve all aspects of manufacturing and supply of products along supply chains to the customer. Many companies are embracing these technologies but uptake within the pharmaceutical sector has not been as rapid. The Medicines Made Smarter Data Centre (MMSDC) looks to address the key challenges which are slowing digitalisation, and adoption of IDTs that can transform processes to deliver medicines tailored to patient needs.Work will be carried out across five integrated platforms designed by academic and industrial researcher teams. These are: 1) The Data Platform, 2) Autonomous MicroScale Manufacturing Platform, 3) Digital Quality Control Platform, 4) Adaptive Digital Supply Platform, and 5) The MMSDC Network & Skills Platform.Platform 1 addresses one of the sector's core digitalisation challenges - a lack of large data sets and ways to access such data. The MMSDC data platform will store and analyse data from across the MMSDC project, making it accessible, searchable and reusable for the medicines manufacturing community. New approaches for ensuring consistently high-quality data, such as good practice guides and standards, will be developed alongside data science activities which will identify what the most important data are and how best to use them with IDTs in practice.Platform 2 will accelerate development of medicine products and manufacturing processes by creating agile, small-scale production facilities that rapidly generate large data sets and drive research. Robotic technologies will be assembled to create a unique small-scale medicine manufacturing and testing system to select drug formulations and processes to produce stable products with the desired in-vitro performance. Integrating several IDTs will accelerate drug product manufacture, significantly reducing experiments and dramatically reducing development time, raw materials and associated costs.Platform 3 focusses on the digitalisation of Quality Control (QC) aspects of medicines development which is important for ensuring a medicine's compliance with regulatory standards and patient safety requirements. Currently, QC checks are carried out after a process has been completed possibly spotting problems after they have occurred. This approach is inefficient, fragmented, costly (>20% of total production costs) and time consuming. The digital QC platform will research how to transform QC by utilising rich data from IDTs to confirm in real time product and process compliance. Platform 4 will generate new understanding on future supply chain needs of medicines to support adoption of adaptive digital supply chains for patient-centric supply. IDTs make smaller scale, autonomous factory concepts viable that support more flexible and distributed manufacture and supply. Supply flexibility and agility extends to scale, product variety, and shorter lead-times (from months to days) offering a responsive patient-centric or rapid replenishment operating model. Finally, technology developments closer to the patient, such as diagnostics provide visibility on patient specific needs.Platform 5 will establish the MMSDC Network & Skills Platform. This Network will lead engagement and collaboration across key stakeholder groups involved in medicines manufacturing and investments. The Network brings together the IDT-using community and other relevant academic and industrial groups to share developments across pharmaceuticals and broader digital manufacturing sectors ensuring cross-sector diffusion of MMSDC research. Existing strategic networks will support MMSDC and act as gateways for IDT dissemination and uptake. The lack of appropriate skills in the workforce has been highlighted as a key barrier to IDT adoption. An MMSDC priority is to identify skills needs and with partners develop and deliver training to over 100 users
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3390/s21227692
发表时间: 2021-11-19
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者: [Poole A, Sutcliffe M, Pierce G, Gachagan A]
通讯作者: Gachagan A
Configuration of digital and physical infrastructure platforms: Private and public perspectives
数字和物理基础设施平台的配置:私人和公共视角
DOI: 10.1111/poms.13865
发表时间: 2022
期刊: Production and Operations Management
影响因子: 5
作者: [Joglekar N]
通讯作者: Joglekar N
32nd European Symposium on Computer Aided Process Engineering
第32届欧洲计算机辅助过程工程研讨会
DOI: 10.1016/b978-0-323-95879-0.50161-2
发表时间: 2022
期刊:
影响因子: --
作者: [Li D]
通讯作者: Li D
Autonomous, Digital-Twin Free Path Planning and Deployment for Robotic NDT: Introducing LPAS: Locate, Plan, Approach, Scan Using Low Cost Vision Sensors
机器人 NDT 的自主、数字孪生自由路径规划和部署:LPAS 简介:使用低成本视觉传感器进行定位、规划、接近和扫描
DOI: 10.3390/app12105288
发表时间: 2022
期刊: Applied Sciences
影响因子: --
作者: [Poole A]
通讯作者: Poole A
7
    Digital Design and Manufacture of Amorphous Pharmaceuticals (DDMAP)
    • 批准号:
      EP/W003295/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $159.49万
    • 财政年份:
      2022
    • 负责人:
      Alastair Florence
    • 依托单位:
    Pressure-dependent In-Situ Monitoring of Granular Materials
    • 批准号:
      EP/S02168X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $66.19万
    • 财政年份:
      2019
    • 负责人:
      Alastair Florence
    • 依托单位:
    Future Continuous Manufacturing and Advanced Crystallisation Research Hub
    • 批准号:
      EP/P006965/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $1384.39万
    • 财政年份:
      2017
    • 负责人:
      Alastair Florence
    • 依托单位:
    Development of an Innovative Modular System for Continuous Chemical Processing
    • 批准号:
      EP/K504117/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $10.12万
    • 财政年份:
      2013
    • 负责人:
      Alastair Florence
    • 依托单位:
    海外基金