Case Studies STATISTICA provides integrated SPC system to fiberglass industry’s major European production plant
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STATISTICA provides integrated SPC system to fiberglass industry’s major European production plant

Analytics & Modeling - Predictive Analytics
Application Infrastructure & Middleware - Data Exchange & Integration
Functional Applications - Manufacturing Execution Systems (MES)
Construction & Infrastructure
Process Manufacturing
Quality Assurance
Machine Condition Monitoring
Predictive Maintenance
Process Control & Optimization
Software Design & Engineering Services
System Integration
Training
In order to ensure manufacture of the highest quality product, the company engaged StatSoft Polska to develop and implement an integrated SPC system with STATISTICA software at its production plant in Gorlice. The SPC system’s main task is to conduct online monitoring of production process parameters.
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Saint-Gobain Velimat Polska Sp. z o.o. is a member of the Saint-Gobain Group, the world leader in design, manufacture, and distribution of building materials that provide innovative solutions reflecting market concerns for energy savings and environmental safety. Ranked among the Financial Times’ 2012 “Top 100 Industrial Groups in the World,” Saint-Gobain continuously develops its technological expertise in cooperation with many prestigious universities and research labs. Located in Gorlice, Poland, Saint-Gobain Velimat Polska manufactures and sells woven fiberglass fabrics and knits for the construction industry, such as acoustic insulation, exterior wall coverings, insect-proof nets, decorative coatings, surface finishing and reinforcement, bases/warps for asphalt tar paper, and anti-corrosion coating.
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StatSoft Polska designed the system’s central database to provide for specific manufacturing requirements. In the system, the process quality data is collected from two sources: from the lab and from the automatic meters that have been installed at the production lines. Due to this new, customized solution that provides real-time access to the quality readings, the personnel responsible for quality on the shop floor can now monitor variations of key product parameters on the Shewhart control charts directly after measurements have been recorded. Additionally, the process parameters data is introduced to the engineer’s level for tracking the dependency between product quality and process set-points.
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Key product parameters can now be monitored in real-time both on the shop floor and at the engineer’s level.
STATISTICA facilitates better recognition of process dependencies that impact product quality.
STATISTICA provides improved reporting that correlates production parameters across arbitrary time periods.
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