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Loopcycle - DS Smith Collaboration: Project Infinity

Loopcycle - DS Smith Collaboration: Project Infinity
Loopcycle - DS Smith 合作:Project Infinity
批准号:
77947
负责人:
金额:
$23.5万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

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中文摘要
翻译
Covid-19通过收缩全球供应链,特别是高质量可回收材料的供应链,进一步增加了资源循环利用的障碍。随着全球对绿色复苏的压力越来越大,政府和组织面临的挑战是在供应链中巩固循环商业模式,提高其增长能力和弹性。然而,要实现这一点,组织必须能够:*以一种能够提供明确可衡量的循环价值的方式管理已使用的资源;*有效地将使用过的资源反馈到现有的供应链中;*大规模生态设计产品,显著减少对原材料的整体依赖。Loopcycle旨在通过基于人工智能的B2B平台重新加强使用资源的价值交换,使它们能够在组织之间从一次使用到下一次使用进行准确的再循环。这种交换——被称为循环——被捕获在一个安全的材料分类账中,该分类账嵌入了可追溯性和安全性。通过与DS Smith的合作伙伴关系,Loopcycle将开发一个实验性的平台即服务(PaaS)模型,该模型将允许DS Smith通过其供应链跟踪瓦楞纸板的流动。通过从循环内的多个数据点自动绘制产品和供应链数据,该平台将使用人工智能和机器学习来确定系统中发生损失的位置,并将确定每条包装线上存在的闭环纸板的百分比。这将使DS Smith能够以更细粒度和循环指标的形式为客户提供外部保证,并通过这样做,积极地促进他们的循环目标的交付。对于Loopcycle而言,该项目将确定成功的最佳条件,通过这些条件,Loopcycle可以进行配置和商业化,从而在确定的市场内大规模扩展循环系统的开发,以推动更绿色的循环后复苏。
英文摘要
Covid-19 has added further barriers to circular resource use by contracting global supply chains -- particularly those for high quality recyclable materials. With mounting global pressure for a green recovery, the challenge is for governments and organisations to cement circular business models within supply chains, improving their capacity for growth and resilience.However, for this to happen, organisations must be able to:* Manage used resources in a way that delivers clearly measurable circular value;* Effectively feed used resources back into their existing supply chains; and* Scale eco-designed products to significantly reduce overall raw material dependence.Loopcycle aims to re-strengthen value exchanges for used resources through an AI based B2B platform that enables them to be accurately recirculated between organisations from one use to the next. This exchange -- known as a Cycle -- is captured in a secure material ledger which embeds both traceability and security.Through a collaborative partnership with DS Smith, Loopcycle will develop an experimental Platform as a Service (PaaS) model that will allow DS Smith to trace the flow of corrugated cardboard through their supply chain. By automatically drawing product and supply chain data from a number of data-points within the Loop, the platform will use AI and machine learning to determine where losses in the system occur, and will determine the percentage of closed-loop cardboard present in each packaging line. This will enable DS Smith to provide external assurance to their clients in the form of more granular and circular metrics and, by doing so, positively contribute to the delivery of their circular goals.For Loopcycle, this project will define the optimum conditions for success through which Loopcycle can be configured and commercialised to scale the development of circular systems en masse within identified markets to drive a greener, circular post-Covid recovery.
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