Deploying real-time data collection for measuring overall equipment efficiency (OEE) as a productivity tool in manufacturing

部署实时数据收集来测量整体设备效率 (OEE) 作为制造业的生产力工具

• 批准号: 484434-2015
• 负责人: Douglas, Dan
• 金额: $ 1.82万
• 依托单位: Fanshawe College of Applied Arts & Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584310
• 关键词: Deploying; real; time; data; collection

The manufacturing industry depends on machine efficiency and productivity in order to ensure sustainable and profitable operations. In the course of business, it is common to undertake a productivity audit of overall equipment effectiveness (OEE). However, this evaluation is often reported much later, and can only be used to improve future operations, if at all. Studies have shown that OEE can be improved if that information is accessed sooner. Even a 5% productivity improvement could represent billions of dollars to Canadas GDP. This project will help to bridge that gap through the testing of a novel real-time technology solution that functions with any equipment, provides real-time data on key performance indicators, and machine operators to instantly assess and improve the manufacturing process. Fanshawe College's School of Applied Science and Technology will undertake this applied research with industry partner FreePoint Technologies Inc., a measurement and productivity solutions company based in London, Ontario that specializes in software as a service (SaaS) and niche technology for the manufacturing and industrial sectors. The project will monitor machine performance and the impact of making key performance data available in real time to equipment operators, through information gathered and relayed by FreePoints novel technology. The project will be undertaken at two manufacturing company test locations in Southern Ontario. This research will lead to further development of a fully optimized system that allows machine operators access to the real-time actionable information necessary to improve the efficiency of the machines. This project will benefit the manufacturing industry by helping to identify the untapped potential of real-time data and employee engagement as a process productivity strategy. Commercialization of this new technology will lead to job creation in the local community and provide Ontario and Canadian manufacturers with a competitive edge and an advantage in dealing with the Canadian labour shortage by attracting skilled young workers to a traditional sector that is redefining itself with the integration of leading-edge technology.

制造业依赖机器效率和生产率，以确保可持续和有利可图的运营。在业务过程中，对整体设备效率(OEE)进行生产率审核是很常见的。然而，这种评估往往是在很晚的时候才报告的，而且只能用于改善未来的业务，如果真的有的话。研究表明，如果更早地访问这些信息，OEE可以得到改善。即使是5%的生产率提高也可能为加拿大的GDP带来数十亿美元的收入。 该项目将通过测试一种新的实时技术解决方案来帮助弥合这一差距，该解决方案可与任何设备一起运行，提供有关关键性能指标的实时数据，并帮助机器操作员即时评估和改进制造过程。 Fanshawe学院的应用科学与技术学院将与行业合作伙伴Freepoint Technologies Inc.共同开展这项应用研究。Freepoint Technologies Inc.是一家总部位于安大略省伦敦的测量和生产率解决方案公司，专门从事制造和工业部门的软件即服务(SaaS)和利基技术。 该项目将通过自由点新技术收集和转发的信息，监测机器性能以及向设备操作员实时提供关键性能数据的影响。该项目将在安大略省南部的两个制造公司测试地点进行。这项研究将进一步开发一种完全优化的系统，使机器操作员能够访问提高机器效率所需的实时可操作信息。 该项目将帮助确定实时数据和员工敬业度作为流程生产力战略的未开发潜力，从而使制造业受益。这项新技术的商业化将在当地社区创造就业机会，并通过吸引有技能的年轻工人到正在用尖端技术重新定义自身的传统部门，为安大略省和加拿大制造商提供竞争优势和处理加拿大劳动力短缺的优势。