Improve Manufacturing Quality

Using analytics to derive actionable insights and be proactive to minimize defects and maximize performance to ensure production quality and reduce operational cost

Poor quality has an average cost of 20%
of sales in the manufacturing industry

SCRAP

REWORK

WARRANTY CLAIMS

How Analytics can help?

Accelerate your Quality 4.0 Journey

Implement, a phased approach, proactive quality management strategy: Enable lineside engineers and operators to use analytics to improve data driven decision making in the manufacturing process.

Diagonal screens texture green

How do you measure and control Cost of Poor Quality?


Silo Vision


Integrate & Standarize


360 Vision of Production Quality

Which parameters comprise Final Production Quality?

Limited/Slow Root Cause Analysis

Perform Multistep Correlations and statistical analysis

Discover Key Factors

Can you predict End of Line Quality?

Reactive actions

Develop predictive model to estimate the key metrics, as a function of process variables

Predictive alerts

Achieve 4.0 Journey

Enable complete automation of the process so that plant operators can run it

Benefits

Highway light trails

Maximize Asset Productivity & Increase Resource Utilization

DECREASE COGS

Silhouettes of happy cheerful sport fans at stadium.

Drive Continuous & Ongoing operational Improvements

INCREASE REVENUE

Bottom up view of London City Buildings

Ensure Alignment with Sales & Operations Planning

INCREASE MARGIN

More information?

Back to Top