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FORCAM
我们说机器
概述
公司介绍
FORCAM 是离散制造公司的全球 IIOT 技术合作伙伴，为所有业务的持续卓越制造提供统一的方法。 FORCAM 代表快速投资回报率 (ROI)、使用资本回报率 (ROCE) 的增加以及总体成本节约和减少浪费方面的竞争性激增。
物联网解决方案
FORCAM 的高级车间管理技术协调了从顶层到车间以及整个全球供应链和企业的所有制造操作，创造了透明的工厂环境。客户在不到 12 个月的时间内将生产力提高了 20% 以上。在实际操作过程中，可以轻松监控生产并收集实时数据。这些数据不仅会反馈到任何连接的 ERP 系统，而且还可以由授权人员从任何移动设备或平板电脑访问。
主要客户
奥迪、博格华纳、Depuy Synthes、吉凯恩航空航天、库卡机器人、伟尔矿业
物联网应用简介
技术栈
FORCAM的技术栈描绘了FORCAM在分析与建模, 和 功能应用等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
AUDI AG 20% PRODUCTIVITY IMPROVEMENT
In the automotive industry, niche products are becoming more and more important. The automobile industry has changed considerably over the past few years. No doubt: to remain competitive, instant reaction to specific customer requests is of utmost importance. In a parallel to the growing individualization of our society, the range of models available from Audi has increased as well.
Case Study
Success Factors for Machine Connection
In today’s manufacturing facilities, there is a large mix of heterogeneous machines and control types, where signals must be collected, aggregated and evaluated. The solution to this common problem is a centralized system, which can seamlessly “plug and play” with any type of machine CNC controller or PLC. However, machine connection and integration capabilities are key differentiators when selecting the right MES technology provider. The experience level and readiness of the technology provider determines the time and costs required to successfully connect any machine. Standardized interfaces to all common machine controls, via direct plug-ins, must be created, otherwise the time required for connecting the machines, is unmanageable. In a pilot project initiated by an MES provider, a major German tool manufacturer determined that connections to some of their machines were very time-consuming, costly and in some cases not possible. Even after months of work, some challenging machine controls types remained unconnected. The MES provider lacked expertise and the necessary plug-ins.
Case Study
We Deliver Results in Productivity. Overoming Challenges in the Aerospace Industry
Manufacturing processes in aerospace machine shops can be complicated and complex to plan. Finding out how much capacity is really needed for a part to be produced, and accurately planning the total throughput time for a range of components can be a headache for many manufacturers. Often, it can be difficult to do accurate part costing, as many cost centres are involved, and blended rates are used as there are is no exact data on machines and work stations in a process. Many aerospace companies have vast untapped potential for reducing costs by improving processes, reducing WIP and faster throughput times, but in most cases they have no tangible data to base cost saving improvements on. UK aerospace companies are notorious for their excellent technical knowledge and high quality products. But the manufacturing process itself is often far from efficient. The orders are there, the requirements are clear, but capacities are limited and many battle with considerable overload on the shop floor.
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