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PRODUCT
Modular MES Solution
Data Analytic for Engineers
Automated Material Handling System (AMHS)
All-in-One Solution for Discrete Manufacturing

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Intelligent Control & Analysis for Durable Assurance

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PDES for R&D and Technology Development in High-Tech Industries

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White Paper

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White Paper

Beyond Design of Experiments:
What’s Next in the Business?

Unlock hidden insights from your Design of Experiments (DoE) data and discover how meta-analysis takes your process understanding to the next level

Key Insights

  • Consolidating multiple DoE datasets in a unified database enables powerful meta-analyses to gain learnings beyond individual experiments.
  • A flexible "Entity-Attribute-Value" database model allows to store and analyze heterogenous DoE data from different sources.
  • Meta-analysis of DoEs opens up new possibilities including experiment planning based on aggregated learnings

Summary of the White Paper

This whitepaper presents an innovative approach to systematically collect DoE data from multiple sources in a unified database. By applying meta-analysis techniques, it becomes possible to uncover insights and knowledge that go beyond what isolated experiments can provide, helping engineers unlock the full potential of their experimental data

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“This solution enables the systematic storage of experimental data, supports researchers with naming conventions, and facilitates easy retrieval for later analyses in a meta-analysis context. It opens the door to more possibilities in advanced design of experiment methodologies.”

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