Minitab Exchange 2026 | European Dates

Claim your free ticket to join this event across Europe for leaders in Engineering, Operations, Quality, Research and Design.

Learn proven strategies to align engineering, operational, and manufacturing decisions with quality goals, KPIs, and customer needs.
Gain practical insights into end-to-end performance monitoring and problem-solving solutions.
Access live demonstrations and expert sessions on solving your toughest manufacturing and quality challenges.
Network and share best practices with fellow professionals and Minitab experts.

The Hidden Factory – Unplanned Downtime & Capacity Loss

Factories underestimate the true loss of capacity due to unstructured downtime data. Lost revenue is hidden when tracking throughput on production or packaging lines, through overtime or labor strains that distort cost models.

Explore solutions to recover capacity, optimize scheduling and prioritize maintenance with data-driven guidance. Including:

• Automatic machine connectivity (no manual reporting bias)
• Real-time Availability/OEE tracking
• Root cause categorization of downtime
• Identifying bottlenecks across lines or cells

Process Variation – The Silent Profit Killer

Scrap, rework, warranty risk, and regulatory exposure all increase when uncontrolled variation occurs. Inspection alone does not prevent defects, so quality issues are often reacted to late, when it's most expensive to correct.

Explore data-backed solutions for faster detection and corrective action to reduce waste, improve audit readiness and drive shop floor control of quality. Including:

• Automated data collection from CMMs, gages, PLCs
• Real-time control charts at the point of production
• Early detection of out-of-control conditions
• Reducing bottleneck inspections

From Monitoring to Mastery – Root Cause & Process Optimization

Teams usually collect vast amounts of data yet lack the structured analysis to avoid superficial fixes. This creates recurring issues and engineering time is wasted on trial-and-error.

Explore solutions for faster root cause resolution, improved customer confidence and data-backed continuous improvement. Including:

• Identifying key drivers of variation
• Regression analysis for yield improvement
• Capability analysis (Cp, Cpk, Ppk)
• Hypothesis testing to validate improvements

Designing Better Processes – Proactive Quality with Discrete Event Simulation, DOE & Predictive Insight

Most processes are optimized incrementally, not engineered for robustness at launch. This sees suboptimal settings become “standard” and innovation cycles get slowed.

Explore solutions to deliver new products and production processes faster and competitively, with reduced development costs and process instability. Including:

• Screening experiments to identify critical factors
• Optimizing multiple responses simultaneously
• Building predictive models for yield or performance
• Validating processes digitally before physical investment