The increasing complexity of industrial manufacturing products and plants combined with the high cost of energy and raw materials requires industrial manufacturers to operate more efficiently than ever. The challenges faced today are helping accelerate the adoption of process automation technology and greater innovation in the R&D stage in order to cut manufacturing costs and improve product quality.

Multivariate data analysis and designed experiments have long been used in Six Sigma and similar programs to help industrial manufacturers design and develop better quality products, faster and more cost effectively. Similarly, the advanced predictive capabilities of MVA can be used to improve process control and reduce time to market.

Multivariate analysis tools are used by industrial manufacturing engineers to:

• Understand and predict system behavior before beginning hardware development
• Identify potential integration errors and opportunities to improve manufacturing designs
• Finding faults in production line yielding spurious product defects

As pioneers in MVA, our software and solutions have been tried and tested for over 25 years. They offer the power of advanced regression and classification tools but are elegantly simple and easy to use. Now you can benefit from the power of multivariate analysis from the very beginning of product development and right through the value chain to identify errors and reduce the overall risk and cost of projects.

Contact us to find out how we can help or to arrange a free demonstration.