Control raw material variability without slowing production
Recycled pulp production relies on processes highly sensitive to incoming fibre quality, where deinking, cleaning, refining and water management directly impact pulp cleanliness, machine stability and material yield.
Even minor deviations can lead to sheet contamination, drainage instability, increased energy consumption or downtime caused by deposits and clogging.
Indao transforms data from pulping lines, cleaning systems, flotation units, refining stages and white water circuits into reliable operational indicators and concrete recommendations.
Why recycled pulp processes are different
Processes where fibre variability and contaminants require continuous adaptation of operating conditions.
Heterogeneous incoming material
Highly loaded water circuits
Delicate balance between cleanliness and fibre yield
The challenges you face
- Raw material variability: stabilise pulp quality despite major fluctuations in recycled fibres
- Pulp cleanliness: control stickies, residual inks and contaminants affecting sheet quality
- Drainage and formation: reduce disturbances caused by colloids and fines in water circuits
- Energy performance: optimise refining, pumping and flotation in energy-intensive processes
- Equipment availability: anticipate clogging, deposits and equipment instability
The limits of your current tools
- Difficulty correlating incoming material quality with actual process behaviour
- Data fragmented across pulping, cleaning, white water and paper machine systems
- Laboratory analyses often available only after production impact
- Control often based on empirical adjustments to variability
- Limited tools to anticipate deposits or fibre yield losses
What Indao delivers in practice
We design advanced analytics solutions that genuinely improve recycled pulp process performance, with AI as a support : explainable, controlled and field-oriented.
What you gain
Operational results, not just more dashboards
More consistent pulp quality
Reduced impact of raw material variability on production
Fewer deposits and clogging issues
Anticipation of conditions leading to stickies and fouling
Improved fibre yield
Optimised cleaning and flotation settings reducing material losses
Optimised energy performance
More precise control of refining and water circuits
→ reduced consumption
Increased equipment availability
Reduced downtime caused by process instability
Controlled integration
Progressive, secure deployment aligned with existing practices
See clearly. Act decisively. Optimise sustainably.
Decisions that have already proven their impact
- Process Performance Optimization
2Valorise
Optimising the steam network to maximise cogeneration plant performance
- Process Performance Optimization
CRM Group
Identifying key parameters in hot rolling to better control process performance
- Data-driven Decision-Making
EKO-MYŚL
Centralising waste and energy data to improve operational control
Want to make decisions differently?
Let’s explore how your data can become a concrete operational lever.
Whatever your activity in the pulp & paper sector
Concrete levers at the core of processes
Kraft pulp
Optimise operating conditions to stabilise the process and improve overall energy efficiency
Paper machines
Improve line stability and maximise machine efficiency by reducing process variability
Packaging
Stabilise production and control quality variability to improve overall industrial performance
Tissue
Optimise the balance between machine speed, product quality and energy efficiency