- We have performed a Measurement System Analysis for Eftec NV. In this project we did a gauge R&R study according to the automotive guidelines as described in AIAG MSA 4th edition to determine the repeatability and reproducibility of rheology measurements.
- We have designed and co-developed a software tool for the LT3 group of the University of Ghent, that improves the efficiency of their research. This toolbox is called “Gallop”, which stands for “Genetic Algorithms for Linguistic Learner Optimization”. The tool launches experiments on a cluster of computers to find the optimal feature selection and the optimal learning parameters.
- We have identified the production variables that show unusual values or result in suboptimal production for several paper manufacturers and a copper mine. We have also found and implemented solutions to resolve these issues.
- Our Control Loop Performance Monitoring tool has been used at numerous plants in various industries to monitor and analyse the data of hundreds of control loops and to report on the control quality.
- We have developed a soft sensor that predicts the moisture of paper at the end of the paper machine based on upstream process variables.
PRODUCTION AND PROCESS ANALYTICS
“Everybody has data, but only those that efficiently convert their data into useful actions reap the benefits”
Software and Services to Analyze and Improve Production Processes
Our analytics services are hired by management, process engineers or laboratory groups of our customers to extract actionable information from production data or/and to investigate production issues. We have relevant expertise in several areas:
- Statistical Analysis
- Machine Learning – Process & Workflow Analytics
- Advanced Industrial Data Analytics
- Software Development
Click here to start creating value out of your data with Orise
Statistical Analysis
- Design of Experiments (DOE): identify the most efficient way to investigate theories or problems
- Measurement System Analysis (MSA): determine gauge repeatability and reproducibility of measurement equipment and methods
- Power analysis: calculate the minimal sample size such that one can be reasonably likely to detect an effect of a given size
- Analysis of variance (ANOVA)
- Investigation of correlations and causal relationships
Machine Learning
Machine learning is a vast field of techniques and competences to let computers learn useful information from data.
Benefits:
From an engineering point of view to learn parameters from data has a big advantage: no assumptions about the operation or structure of the observed system are necessary.
Moreover, because these models are computationally very powerful, they succeed in capturing complex non-linear properties of the underlying systems which are difficult to model using standard engineering approaches.
Application Domains:
Machine Learning, due to its versatility, is applied in a large number of industrial settings and to various application areas. These include but are not limited to:
- Computer Vision
- Custom AI Solutions
- Robot Locomotion
- Soft Sensor Development
- Prediction and Forecasting
- Classification of Products
Innovative Software Solutions for Experimentation and Analysis
In addition to performing data analysis, Orise also develops custom software tools.
These allow our customers to conduct data analysis or/and build computer models independently. This approach enables our customers to enhance their team’s efficiency and unlock new capabilities.