Increase the value of your data and make long-term data driven decisions by starting your manufacturing intelligence journey at NNE. Benefits include:
- High yield and high overall equipment efficiency (OEE) using real-time data and predictive analytics for decision-making
- Continuous optimisation of pharma manufacturing processes from historical data by using data analytics, machine learning and artificial intelligence
Our data engineering services include:
Data strategy
- User Requirement Specifications (URS)
- Mapping, overview and digitalisation strategy
Data connectivity
- Connectivity mapping
- Digital factories
- Amazon Web Services (AWS), BigFinite and IoT
- Value propositions for AWS and OSIsoft PI
- Augmented reality services
Our data analysis services include:
Improving OEE and yield
- Mapping OEE and yield
- Rapid optimisation
- Process visualisation
- Statistical process control (SPC) and Continued Process Verification (CPV)
- Process modelling
- Design of experiments (DOE) and Evolutionary Operation (EVOP)
- Predictive modelling
- Predictive validation
- Applied machine learning
- Realtime release
Reducing Quality Control costs
- Balancing yield with quality
- Sequential sampling
- Measurement System Analysis (MSA)
- Optimising sampling strategy
- Faster shelf life determination
- Design of experiments (DOE) review
- Modern Process Validation (MPV
