Predictive Performance Analytics Solution for Additive Layer Manufacturing

适用于增材层制造的预测性能分析解决方案

• 批准号: 86075
• 金额: $ 12.74万
• 依托单位: MAGNITUDE INNOVATIONS LTD
• 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
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=86075
• 关键词: Predictive; Performance; Analytics; Solution; Additive

Magnitude is an Additive Layer Manufacturing (ALM) solution development firm. We specialize in Additive Layer Manufacturing (commonly known as 3D printing) process improvements and use of Metal Laser-Powder Bed Fusion (L-PBF) technology in industrial applications.The Metal ALM process is inherently characterized by production efficiency losses that largely affect internal costs and thus ALM manufacturers' profitability. To overcome these efficiency problems, Operational excellence is widely used in traditional manufacturing, but never in ALM due to the process complexity and constant evolution of production processes. In our industry, no other player has yet figured out a way to apply Operational Excellence principles and metrics to Additive in a viable way, until now.At Magnitude, we created **industry-specific algorithms to accurately assess the** **performance of Metal ALM systems** and allow manufacturers to visualize and act upon every single inefficiency affecting the production process. The result of this innovation is our core product concept, Uptimo, a predictive performance analytics **software that improves the performance of Metal ALM systems and significantly** **reduces the costs of production**, finally making Metal ALM businesses financially sustainable.Uptimo's innovation lies in its unique set of algorithms that, thanks to the team's superior knowledge and experience in the industry, are tailored to the complexity of Metal ALM production as well as machine agnostic, and adaptable to the specific operational workflow of every manufacturer.Uptimo is currently used to analyse Metal ALM manufacturer's historical production performance and make improvements on individual jobs within the larger scope of production. **This project will be dedicated to the development and** **customer validation of predictive performance algorithms**, to make its use in every ALM production facility a requirement in order to stay competitive, **enhancing our** **business capabilities** from supporting customers in production analysis **to being an** **integral part of their production decision-making process**.At the moment, Uptimo analyses an organization's production data and provides instant feedback on the efficiency of equipment and operations. **With the development of predictive** **performance analytics, the software will help manufacturers make informed decisions on day-to-day actions, as well as any aspect of the process that impacts** **the final product costs and quality** without any prior process knowledge.Furthermore, Uptimo shows the true efficiency of every job and the minimum price manufacturers should be charging for it. By eliminating mistakes and production wastes, Uptimo helps in training the organization towards reaching sustainable performance and optimizing capacity on existing systems, increasing ALM profitability and saving on capital investments.The Uptimo software was first conceived in 2018, it has passed the initial feasibility study phase and is currently a full functioning beta version. The Uptimo beta has already received a lot of attention from multiple ALM manufacturers in the UK, Europe, and North America. The goal of the project is to develop new software features and bring it to market by next year.

Magnitude是一家增材制造（ALM）解决方案开发公司。我们专注于增材层制造（通常称为3D打印）工艺改进和金属激光粉末床融合（L-PBF）技术在工业应用中的应用。金属ALM工艺的固有特点是生产效率损失，这在很大程度上影响了内部成本，从而影响了ALM制造商的盈利能力。为了克服这些效率问题，卓越运营被广泛应用于传统制造业，但由于生产过程的复杂性和不断发展，从未在ALM中使用。在我们的行业中，到目前为止，还没有其他参与者能够以可行的方式将卓越运营原则和指标应用于Additive。在Magnitude，我们创建了 ** 行业特定的算法来准确评估Metal ALM系统的 * 性能 **，并允许制造商可视化并对影响生产过程的每一个低效问题采取行动。这一创新的成果是我们的核心产品概念，Uptimo，一个预测性能分析 ** 软件，提高了金属资产负债管理系统的性能，并显着 * 降低了生产成本 **，最终使金属资产负债管理业务在财务上可持续发展。Uptimo的创新在于其独特的算法集，由于团队的上级知识和行业经验，Uptimo针对Metal ALM生产的复杂性以及机器不可知性进行了定制，并适用于每个制造商的特定操作流程。Uptimo目前用于分析Metal ALM制造商的历史生产绩效，并在更大的生产范围内对单个作业进行改进。** 该项目将致力于开发和 **** 客户验证预测性能算法 **，使其在每个ALM生产设施中的使用成为保持竞争力的一项要求，** 增强我们的 **** 业务能力 **，从支持客户进行生产分析 ** 到成为其生产决策过程的 ** ** 组成部分 **。目前，Uptimo分析组织的生产数据，并提供有关设备和操作效率的即时反馈。** 随着预测性 * 性能分析的发展，该软件将帮助制造商在没有任何先前工艺知识的情况下，就日常行动以及影响 * 最终产品成本和质量 ** 的任何工艺方面做出明智的决策。此外，Uptimo显示了每项工作的真正效率和制造商应该收取的最低价格。通过消除错误和生产浪费，Uptimo帮助培训组织实现可持续的性能和优化现有系统的容量，提高ALM的盈利能力并节省资本投资。Uptimo软件最初于2018年构思，现已通过初步可行性研究阶段，目前是一个功能齐全的测试版。Uptimo测试版已经受到了英国，欧洲和北美多家ALM制造商的关注。该项目的目标是开发新的软件功能，并在明年将其推向市场。