Understanding and managing processes is paramount in any manufacturing or engineering company. In many cases, those processes can be complex, with a large number of variables potentially affecting the outcome.
Yet most manufacturers still rely on traditional Statistical Process Control (SPC) software which uses ´univariate´ statistical analysis such as mean, median, standard deviation etc. Unfortunately, univariate statistics often miss the underlying patterns in process data. This is where advanced Multivariate Statistical Process Control (MSPC) can give manufacturers and engineers an edge.
Multivariate data analysis is an advanced statistical approach which identifies all of the critical variables and underlying patterns in a data set. Importantly, it also shows the relationships between variables and how they impact on each other – essential when trying to understand complex process behavior.
Multivariate Statistical Process Control (MSPC) applies these powerful methods to process and manufacturing data, giving you a better understanding and control over your processes.
Accelerate pilot plant activities and optimize testing during the development / engineering stage. Problems with raw materials or design flaws can be spotted faster and easier before they are scaled up from the lab to production.
Reduce production problems and failures by identifying drifts in a process before they become critical. MSPC enables process operators and managers to make informed decisions in real-time on the plant floor.
Powerful diagnostics let you identify precisely where faults occur so you can improve product quality, thereby reducing warranty claims and even the risk of recall. On-line quality control helps minimize the need for expensive and time consuming off-line testing.
Less failures and higher quality invariably leads to lower costs through reduced waste and scrap, energy, rework, overtime etc. Even a small improvement in process efficiency can lead to a noticeable improvement on the bottom line.
A better understanding of process behavior enables on-going process optimization programs, improved productivity and increased operational efficiency. MSPC gives you deeper insights and visibility so you can reduce variations and forecast more accurately.
Enhance process and quality improvement programs on individual production lines and across sites. Knowledge transfer and more efficient processes can lead to significant operational improvements, so you get your products to market faster and at lower cost.
Pinpoint anomalies in equipment performance to help increase uptime, reduce unscheduled maintenance, implement corrective and preventative action (CAPA) programs and get the maximum return on investment in plant and machinery.
MSPC can be used by R&D teams, process engineers, production and manufacturing teams, quality control, maintenance teams and Six Sigma/Lean groups.
Multivariate data analysis and MSPC is already used in a wide range of industries including: aerospace, agriculture, automotive, cement & glass, chemicals, electronics, energy, engineering, food & beverage, general manufacturing, medical devices, mining, oil & gas, pulp & paper, pharmaceuticals & biotechnology, semi-conductors, steel, water & waste water.