Case Studies > France Uses STATISTICA Enterprise for its Manufacturing Process Control

France Uses STATISTICA Enterprise for its Manufacturing Process Control

Company Size
1,000+
Region
  • Europe
Country
  • France
Product
  • STATISTICA Enterprise
  • Post-it® notes
  • Scotch™ adhesive tapes
  • Scotch-Brite™ integrated abrasives
Tech Stack
  • SQL
  • SPC (Statistical Process Control)
  • Six Sigma
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
  • Waste Reduction
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Visualization
  • Functional Applications - Manufacturing Execution Systems (MES)
Applicable Functions
  • Process Manufacturing
  • Quality Assurance
Use Cases
  • Machine Condition Monitoring
  • Predictive Maintenance
  • Process Control & Optimization
Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
3M is a global leader in research and development, producing thousands of innovative products for various markets. The company employs 79,000 people worldwide and operates in more than 60 countries. In France, 3M has 13 different sites, including 11 plants, and employs around 3,000 people. The Beauchamp site is specifically involved in manufacturing Post-it® notes, Scotch™ adhesive tapes, and Scotch-Brite™ integrated abrasives. With a strong focus on innovation and quality, 3M France has implemented numerous Six Sigma projects to enhance its manufacturing processes.
The Challenge
3M France faced the challenge of maintaining the progress achieved through numerous Six Sigma projects and keeping critical process variables under control. The company needed a robust system to monitor and adjust manufacturing processes in real-time to ensure quality and performance. Additionally, they required a method to continuously improve their processes and track various quality metrics, such as the percentage of acceptable incoming material and the number of defects by type and week.
The Solution
3M France has been using STATISTICA Enterprise for over ten years to record quality measurements in a database and create visual displays of potential drifts in quality control charts. The software enables operators to adjust the manufacturing process according to predefined rules, ensuring that critical process parameters are monitored and controlled. The deployment of Lean methods on the shop floor, supported by visual performance indicators, facilitates continuous improvement. STATISTICA Enterprise charts displayed on monitoring screens allow for instant adjustments in case of quality or performance drifts. The SQL language available in STATISTICA Enterprise enables the creation of new indicators, such as the percentage of quality measurements entered in the database and the percentage of acceptable incoming material, which are made available weekly to operators and management.
Operational Impact
  • The deployment of Lean methods on the shop floor supports continuous improvement driven by visual performance indicators on workstations.
  • STATISTICA Enterprise charts displayed on monitoring screens enable instant adjustments in case of quality or performance drifts.
  • New indicators created using SQL in STATISTICA Enterprise are made available weekly to operators and management, facilitating better decision-making.
  • Comments can be assigned to singular points in the quality control charts, helping track the cause of any issues and enabling timely interventions.
  • The 'Dashboard Cpk' monthly review ensures that manufacturing processes are under control and challenges engineers with new projects.
Quantitative Benefit
  • 3M France employs around 3,000 people across 13 different sites.
  • The Beauchamp site manufactures Post-it® notes, Scotch™ adhesive tapes, and Scotch-Brite™ integrated abrasives.
  • The percentage of quality measurements entered in the database is tracked weekly.
  • The percentage of acceptable incoming material, an indicator of supplier quality, is monitored weekly.
  • The number of defects by type and by week is recorded and analyzed.

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