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，但目前也是不可持续的。当前气候和环境变化的挑战是一种威胁，数字技术在促进解决方案方面的作用将在本项目中得到展示。该项目汇集了来自工厂、运输和办公职能部门的220多名员工，由雷诺食品公司牵头。它将为他们提供有意义的信息，这些信息将改变他们的做法和行为，从而报告可衡量的可持续结果，利用游戏化研究来构建“碳英雄”游戏。项目财团和申请资助的合作伙伴是一个由创新领袖、学者、企业和大学组成的高绩效团队，他们都是多次获奖的人，在提供变革性和颠覆性创新方面有着良好的记录。该项目包括已建立全球和全国声誉的非资助申请伙伴。**申请补助金的合伙人如下：**\*雷诺食品有限公司-联盟领导\*软件成像有限公司\*林肯大学-国家食品制造中心\*剑桥大学-制造研究所**非拨款申请系统供应商**\*西门子集团英国\*Elcomponent有限公司\*Tascomp有限公司我们的项目将部署并融合一系列数字技术到切姆斯福德的雷诺食品三明治工厂，实时测量二氧化碳排放量，并让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量。集成使用idt将确保所有工厂流程和资产是可测量的，可追溯的，可跟踪的和可控的。这将提供资源和二氧化碳排放量的即时测量，并与员工福利相结合。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采取补救行动。流程和人员数据将使用AI/ML输入到半自动管理系统（SAMS）中。SAMS将协助员工同时减少工厂的能源消耗，过程浪费，并监控和提高员工的福利和敬业度。LettUs Grow将通过双方协议退出该项目。参考文献A中列出了对问题、决策和成就的详细说明。总之，这是由于技术准备水平不够成熟和业务战略方向变化导致Drop and Grow单元的开发不可行。不幸的是，我们还没有找到替代品。因此，我们需要完全删除WP 4，即名为“沙拉配料加工”的子工作流程5，包括基础设施集成，并寻求重新分配资源，以改进和扩展用例，通过核心制造过程中的流程效率和减少浪费来实现减少二氧化碳当量的目标。软件成像（目前是分包商）作为合作伙伴的机会已经解决，这增加了超宽带网格技术促进的替代范围，使一系列用例应用能够测量二氧化碳排放量和警报/行动减少，编程能力降低风险集成和实施，以及可开发的产品输出，为更广泛的行业应用实现二氧化碳排放量减少的目标。这种整合流程和人员的变革方法将使温室气体排放总量减少目前基线活动的三分之一。要实现可持续发展和智能工厂，需要聪明的人和智能的流程。