10-15%
improvement
in yield
15-20%
improvement
in quality
15-20%
reduction in cycle times
10-12%
reduction
in cost
10-12%
enhancement in productivity
The approach
The key difference in our approach is the Process Digital Twin. We apply AI and IoT to connect every process and machine in the manufacturing value chain. The data drawn from these assets and processes is holistic, enabling us to analyze all interactions between these components as a series of correlations that impact the final product.
The Process Digital Twin becomes a mirror image of the plant’s manufacturing operations, using proprietary algorithms to suggest
real-time corrective measures while applying the insights from each production run to create predictive, easy-to-use recommendations for the future.
STEP 1
Using IoT, data from legacy and new-age systems is collected and analyzed.
STEP 2
An end-to-end digital model of the manufacturing lifecycle is created.
STEP 3
Influencing parameters are divided into 5 classes – Product, Process, Asset, Work Center and External Influencer.
STEP 4
The entire value chain is evaluated as a set of interrelated processes and sub-processes, along with their impact on the final product.
STEP 5
A set of proprietary AI algorithms predicts deviations and prescribes solutions that can be easily implemented on the shop floor in real time.
The Neewee Advantage
Deployment in just 6-8 weeks for medium complexity processes
Outcomes delivered on the shop floor with easy, actionable recommendations
Process Digital Twins that offer a connected and comprehensive overview
of operations
Integration of analytical data from new-age and legacy systems
Model connectivity designed to solve real-life business problems