Darwin - Machine Performance Finder

Darwin - Machine Performance Finder
Product Description

Darwin, the Machine Performance Finder, offers various intelligent features to identify concrete optimization potentials of an automated machine. In this way, it significantly increases the performance level of the machines.



The Machine Benchmark learns a virtual ideal process on the basis of control data from several machines, compares this with the processes of the real machines and provides a target value for the fastest possible production process. Based on this, Darwin continuously generates recommendations for reducing the cycle time. This also provides maintenance with an early warning system at component level to prevent unplanned machine failures and to always operate each machine at its optimum.



The Bottleneck Detector detects the bottleneck in a linked line at station level and thus provides relevant information for effective optimization at the bottleneck.



The Root Cause Detector feature automatically identifies correlations between faults that occur and the general conditions of the production line in order to make statements about the cause.

plus10 GmbH

  • DE
  • 2021
    On CPHI since
  • 4
    Certificates
  • 1 - 24
    Employees
Company types
Manufacturer/Innovator
Other

plus10 GmbH

  • DE
  • 2021
    On CPHI since
  • 4
    Certificates
  • 1 - 24
    Employees
Company types
Manufacturer/Innovator
Other

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plus10 GmbH resources (2)

  • News Pharmapack 2023 – Take the Start-Up innovation tour

    At Pharmapack 2023 in Paris we debuted a new and improved Start-Up Hub. The Hub included several start-up companies we are looking to support and make the event more accessible. 
  • Webinar Best Practice on How to Gain +10% OEE: Innovative AI-Tools for Pharmaceutical and Medical Device Production Lines

    In this webinar, originally broadcast as part of the Pharmapack Europe show, Felix Georg Müller, CEO & Co-Founder, plus10 GmbH introduces the company's innovative and GMP-compliant AI-tools for automated pharmaceutical production and packaging lines. The focus of the presentation is a detailed best practice use case in pharmaceutical production. The speaker presents and explains the requirements, challenges and benefits of the customer implementation. As well as, he focuses on technical conditions and effects on pharmaceutical production and packaging of our self-learning and innovative technology. On the basis of a specific implementation, he shows that data-driven and AI-based technology is able to minimize OEE-losses in GMP-compliant production and represents an innovative approach for all pharmaceutical producers.