Smart People + Smart Process = Smart Factory

聪明人 智能流程 = 智能工厂

• 批准号: 10029508
• 金额: $ 158.3万
• 依托单位: RAYNOR FOODS 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: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10029508
• 关键词: Smart; People; Process; Factory

Our world must change. Food production and supply is the backbone of our society -- it is also currently unsustainable. Current challenges of climate and environmental change are a threat and the role of digital technology in facilitating solutions will be demonstrated in this Project.This project brings together over 220 members of staff from the factory, transport and office functions in the consortium lead, Raynor Foods. It will provide them with meaningful information that will change practice and behaviour so that measurable sustainable outcomes will be reported utilising gamification research to build 'Carbon Hero' games.The Project consortium and grant claiming partners are a high-performing team with innovative leaders, academics, businesses and universities, who are all multi-award winning with proven track records in delivering transformative and disruptive innovations. The Project includes non-grant claiming partners who have established global and national reputations.**Grant claiming partners are as follows.**\*Raynor Foods Ltd -- Consortium Lead\*Software Imaging LTD\*University of Lincoln - National Centre for Food Manufacturing\*University of Cambridge -- Institute of Manufacturing**Non-grant claiming system providers**\*Siemens Group UK\*Elcomponent LTD\*Tascomp LTDOur project will deploy and fuse an array of digital technologies into Raynor Foods sandwich factory in Chelmsford, measuring the CO2e footprint in real-time and making it visible to all operational staff so that they act to reduce it.The integrated use of IDTs will ensure that all factory processes and assets are measurable, traceable, trackable and controllable. This will provide instantaneous measures of resources and CO2e emissions that will be integrated with staff welfare.Bringing together process and people data is transformative and enables remedial actions to be owned by staff and made in real time. The process and people data will be input into a Semi-Automatous Management System (SAMS) using AI/ML. SAMS will assist staff to simultaneously reduce factory energy consumption, process waste and monitor and enhance staff welfare and engagement.LettUs Grow is departing the project by mutual agreement. A detailed account of the issues, decision & accomplishment is set out in Reference A. In summary this was due to insufficiently mature technology readiness level & a business strategic direction change rendering exploitation of the Drop and Grow unit unviable. Unfortunately, we have not found a substitute. Therefore, we need to fully remove WP 4, sub workstream 5 entitled “Salad Ingredient Processing” including the infrastructure integration and seek to reallocate resources to refining and expanding the use cases to deliver CO2e reduction objectives through process efficiency and waste reduction in core manufacturing processes.Opportunity in onboarding Software Imaging (currently a subcontractor) as partner has been resolved This adds alternative scope facilitated by the Ultra-Wide Band Mesh technology enabling an array of use case applications measuring CO2e & alerting/actioning reduction, programming capabilities de-risking integration & implementation plus an exploitable product output for broader industry application to realise CO2e reduction goals.This transformative approach of integrating processes and people will reduce total GHG emissions by a third of current baseline activity. To achieve a sustainable and smart factory requires smart people and smart processes.

我们的世界必须改变。粮食生产和供应是我们社会的支柱——目前气候和环境变化的挑战也是一个威胁，数字技术在促进解决方案方面的作用将在这个项目中得到体现。该项目由 Raynor Foods 牵头，汇集了来自工厂、运输和办公室职能部门的 220 多名员工，它将为他们提供有意义的信息，从而改变实践和行为，从而利用游戏化研究来报告可衡量的可持续成果。 “碳英雄”游戏。该项目联盟和拨款合作伙伴是一个由创新领导者、学者、企业和大学组成的高绩效团队，他们都曾多次获奖，在提供变革性和颠覆性创新方面拥有良好的记录。已建立全球和国家声誉的非资助申请合作伙伴。**资助申请合作伙伴如下。**\*Raynor Foods Ltd -- 财团牵头\*Software Imaging LTD\*林肯大学 - 国家食品中心制造\*剑桥大学 - 制造研究所**非资助申请系统提供商**\*英国西门子集团\*Elcomponent LTD\*Tascomp LTD我们的项目将在雷诺食品三明治工厂部署和融合一系列数字技术Chelmsford，实时测量 CO2e 足迹，并使所有运营人员都能看到，以便他们采取行动减少二氧化碳排放。IDT 的集成使用将确保所有工厂流程和资产都是可测量、可追溯的，这将提供与员工福利相结合的资源和二氧化碳排放量的即时测量。将流程和人员数据结合在一起具有变革性，使员工能够掌握并实时输入补救措施。使用 AI/ML 的半自动管理系统 (SAMS) 将帮助员工同时减少工厂能源消耗、处理废物并监控和提高员工福利和参与度。LettUs Grow 即将退出该项目。问题、决策和成就的详细说明在参考文献 A 中列出。总而言之，这是由于技术准备水平不够成熟以及业务战略方向发生变化，导致 Drop and Grow 单元的开发不可行。因此，我们还没有找到替代品，我们需要完全删除名为“沙拉配料加工”的 WP 4 子工作流程 5，包括基础设施集成，并寻求重新分配资源来完善和扩展用例，以实现 CO2e 减排目标。通过提高核心制造流程的流程效率和减少浪费。作为合作伙伴加入 Software Imaging（目前为分包商）的机会已得到解决。这增加了超宽带网状技术促进的替代范围，支持一系列测量 CO2e 和警报的用例应用程序/减少行动、降低整合和实施风险的编程能力，以及可用于更广泛行业应用的可利用产品输出，以实现二氧化碳减排目标。这种整合流程和人员的变革性方法将减少三分之一的温室气体排放总量当前的基线活动要实现可持续的智能工厂需要聪明的人员和智能的流程。