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Predictive Performance Analytics Solution for Additive Layer Manufacturing

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
负责人:
金额:
$12.74万
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 --

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中文摘要
翻译
莫格是一家添加剂层制造(ALM)解决方案开发公司。我们专门从事加层制造(俗称3D打印)工艺改进和金属激光-粉末床熔化技术在工业应用中的应用。金属激光-粉末熔化工艺的本质特征是生产效率的损失,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,操作优化在传统制造业中得到了广泛的应用,但由于过程的复杂性和生产过程的不断演变,在ALM中从未使用过。在我们的行业中,到目前为止,还没有其他参与者找到将卓越运营原则和指标以可行的方式应用于Additive的方法。在规模上,我们创建了**特定于行业的算法,以准确评估金属ALM系统的*性能**,并允许制造商可视化地处理影响生产过程的每一个低效。这一创新的结果是我们的核心产品概念Uptimo,这是一款预测性性能分析**软件,它提高了金属ALM系统的性能,并显著*降低了生产成本**,最终使金属ALM业务在财务上可持续。Uptimo的创新在于其独特的算法集,由于团队在行业中的卓越知识和经验,这些算法是针对金属ALM生产的复杂性以及机器不可知性而量身定做的,并适用于每个制造商的特定运营工作流程。Uptimo目前用于分析金属ALM制造商的历史生产业绩,并在更大的生产范围内对个别工作进行改进。**这个项目将致力于预测性能算法的开发和*客户验证**,使其在每个ALM生产设施中的使用成为保持竞争力的要求,**增强我们的*业务能力**,从支持客户的生产分析**到成为他们生产决策过程的*组成部分**。目前,Uptimo分析组织的生产数据,并就设备和运营的效率提供即时反馈。**随着预测性*性能分析的发展,该软件将帮助制造商在日常行动以及影响*最终产品成本和质量**的过程的任何方面做出明智的决定,而无需任何先前的过程知识。此外,Uptimo显示了每项工作的真实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有助于培训组织实现可持续的性能和优化现有系统的能力,提高ALM盈利能力并节省资本投资。Uptimo软件于2018年首次构思,已通过初步可行性研究阶段,目前是全面功能的测试版。Uptimo测试版已经得到了英国、欧洲和北美多家ALM制造商的高度关注。该项目的目标是开发新的软件功能,并在明年之前将其推向市场。
英文摘要
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.
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