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FORCAM
we speak machine
Overview
HQ Location
Germany
Year Founded
2001
Company Type
Private
Revenue
$10-100m
Employees
51 - 200
Website
Twitter Handle
Company Description
FORCAM is the global IIOT technology partner to discrete manufacturing companies providing a unified approach for sustained manufacturing excellence across all operations. FORCAM stands for rapid Return-On-Investment (ROI), an increase of Return-On-Capital-Employed (ROCE), and a competitive surge in overall cost savings and reduction of waste.
IoT Solutions
FORCAM’s Advanced Shop Floor Management Technology harmonizes all manufacturing operations from to the top -- to the shop floor and across the global supply chain and enterprise creating the transparent factory environment. Customers achieve productivity increases far over 20% in less than 12 months. Production can easily be monitored and live data gathered during actual operation. This data is not only fed back into any connected ERP system but can also be accessed by authorized personnel from any mobile device or tablet.
Key Customers
Audi, BorgWarner, Depuy Synthes, GKN Aerospace, KUKA Robots, WEIR Minerals
IoT Snapshot
FORCAM is a provider of Industrial IoT analytics and modeling, and functional applications technologies.
Technology Stack
FORCAM’s Technology Stack maps FORCAM’s participation in the analytics and modeling, and functional applications IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
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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