A leading Packaging Films Manufacturer implemented Data Analytics enabled IoT Solution to improve quality by 12%
One of the top Packaging manufacturers in India specialized in packaging films production implemented CharIoT’s Industrial Solution with our Universal IoT platform and reduced quality degradation significantly.
CharIoT designed specific KPIs and Metrics which allowed this manufacturing
company to monitor all the company asset, analyze the critical parameters and establish a correlation with film production quality
The Company Operational efficiency depends upon every specific order placed
because parameters of machine needs to be adjusted accordingly. The deviation in
machine parameters led to degradation of quality. This directly effects delivery
time, down time, customer satisfaction and margins
CharIoT team analyzed the historical data and found irregularities in machine’s
parameter setting and its effects on the quality of production.
- In the manufacturing process, batches of films goes through winder and
slitter. The solution demanded analyzing the historical data, the
relationship between parameters of both the machines and their respective
- CharIoT Solution collected the historical data methodically. It equipped
decision makers with tools to monitor all the asset on single dashboard,
assuring the statistical control, and found the correlation between the
process parameters and different types of quality failures. Using correlation
analysis, CharIoT solution deduces unlimited numbers of critical parameter
into two important parameters (pressure and tension). A predictive
model was developed which by default predicted the ideal set of parameters
and machine configurations for any new order.
Real-Time asset monitoring
The implemented solution allowed decision maker to monitor critical
parameters in the real time and raise issue in case of any discrepancies.
Prescribe machine configuration
Data Analytics and AI established a correlation between machine parameters and film production quality.The algorithms develop a virtual ideal model (Machine variables like pressure tension etc.) for every new set of orders
The solution helped in achieving 12% reduction in quality degradation. It improves down time, delivery by 10% and reduce material wastage