Production slipping? Steam bills rising? Grade changes unstable? We identify hidden losses and help mills improve stability, reduce waste, and increase profitability through data-driven process optimization, advanced process control, and AI-assisted monitoring.
Small process inefficiencies accumulate into significant operational and financial losses. Unplanned downtime, process variability, unstable grade changes, and excess resource consumption affect production, quality, and profitability.
Sheet breaks and recovery delays
MD/CD variability and basis-weight drift
Grade change instability
Excess steam consumption
Chemical overuse and fiber loss
Underperforming control loops
Operational instability affects production, quality, and resource efficiency. Early implementation steps often deliver measurable savings within the first few months.
Typical 3-5% dryer-steam reduction annually.
Typical 15-30% fewer sheet breaks and faster recovery.
Typical 1-2% fiber recovery through stability gains.
Annual profit potential commonly identified in first-phase audits.
Discuss your machine challenges and identify the highest-impact opportunities.
A practical services preview covering diagnostics, optimisation, APC, AI analytics, OptiPort tools, and remote performance support.
Root-cause analysis, line-wide data audits, MD/CD variability studies, and prioritized improvement opportunities.
Engineering reviews of operating practices, process constraints, material balances, throughput, consistency, and resource use.
Control-loop performance analysis, tuning, multivariable APC strategy, and implementation roadmaps.
Mill-specific AI models for visibility, early issue detection, operating insight, and decision support.
OptiPort, OptiLoop, OptiReel, OptiBalance, and OptiSheetBreak analytics for focused mill performance monitoring.
KPI monitoring, monthly reviews, remote troubleshooting, trend analysis, and continuous improvement support.
The OptiPort suite transforms raw process data into actionable intelligence and works with Valmet, ABB, Honeywell, and multi-vendor DCS environments.
Identify instability before production is affected.
Automatically identify high-performance operating conditions.
Track machine performance against operational targets.
Detect process drift before it becomes production loss.
Experience, neutrality, and measurable outcomes. Our team combines process engineering, automation expertise, and advanced analytics to help mills achieve measurable operational improvement.
30+ years of paper-industry optimization experience
100+ machines supported globally
Valmet, ABB, Honeywell platform expertise
AI built specifically for paper-machine environments
Vendor-neutral recommendations
KPI-driven methodology focused on business impact
Measured improvements across multiple geographies and machine types.
OptiPID supports paper mills across North America, South America, Europe, South-East Asia, South Africa, and Australia, combining on-site expertise with remote performance monitoring and technical support.
OptiPID combines 30+ years of paper-machine consulting expertise with advanced process control, automation engineering, and AI built specifically for paper, tissue, board, and pulp mills.
Our vendor-neutral, KPI-driven methodology follows four clear steps: Assess, Optimize, Implement, and Sustain—helping mills reduce sheet breaks, stabilize grades, improve energy efficiency, and typically realize ROI within 1-6 months.
Whether your goal is reducing variability, improving grade changes, lowering energy consumption, reducing sheet breaks, or increasing profitability, we can help identify the highest-impact opportunities.
Share your mill data and receive a concise loss-analysis briefing within one business day.
A structured approach to improving stability, quality, efficiency, and profitability through process engineering, control improvements, and data-driven analysis.
Most engagements begin delivering measurable benefits within 1-6 months.
Yes. OptiPID has experience across major control and quality management platforms.
Yes. Process optimization can reduce excess steam consumption and improve operational efficiency.
Yes. Remote monitoring and expert support are core components of the OptiPID approach.
Historical process data, operational KPIs, and a brief overview of current challenges are typically sufficient for an initial assessment.