Production data collection Odense

Data collection from production can visualize and give access to the objective productivity

Which machines and equipment can production data be collected from?

Data collection is actually a fairly simple task if you have the right tools. And Plug&Log collects daily data from many different types of machinery, equipment and industries. E.g.:

  • Case/flow packers, packaging, palletizers
  • Weighers, general end-of-line machinery (input, output, waste/sorted)
  • Extrusion or injection moulding
  • CNC milling

Do you want see how data collection is visualized?

Plug&Log - Production data collection

Plug&Log is a universal data collection tool that automatically collects information across machinery and robots. The information is accessed from our online platform. The platform contains several features and applications that can help manufacturers react faster to breakdowns and errors. The applications can also continously help minimize downtime and save you valuable resources and time. You can find our more about Plug&Log by clicking the button below, or by exploring our blog posts and cases.

Data collection creates new opportunities

For the companies it shouldn’t be about firing employees because you want to become more efficient – it should be about creating the possibility to build ON TOP of the existing

Production data collection

When you automate your production, you also create data. And you invest in increased efficiency. Therefore you should use those data to know more about your production and let it guide you to a reduction in lost production time, higher productivity and better production planning. Plug&Log is our secure, easy-to-install, low-economy box solution for companies that want to use their own data to become more informed and optimized. Plug&Log can let a company focus on the production while continuously and automatically keeping them informed about performance, OEE and more.

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Kochsgade 31D, 5000 Odense, Danmark. 
+45 24 24 14 04 
mail@trendlog.io

    Step 1: Find your own setup

    Step 2: Try it out

    Step 3: Use insights to optimize