Real-time data analysis for manufacturer of foam and felt

Real-time data analysis, process automation and data collection in automotive foam and felt production. How to increase your efficiency.

KFactory selected the WISE-4051 to perform

the remote data acquisition and transmission

from the factory floor to the Core platform. It

offered the ideal mix of I/O and robust and

reliable operation, coupled to easy, quick and

cost effective installation due to its WiFi

connectivity, which eliminated the need for

costly cable installation. In fact, the first

connected machines were online and producing

actionable insights within a couple of weeks.

The data is recovered from the WISE-4051

devices by the KFactory Core platform, which

applies business intelligence to the real time

and historical data to provide insight and

proactive recommendations to the Masterfoam

managers.

The Solution

Deploying the KFactory solution resulted in

the production process being monitored in

real time with maximum precision. Data is

collected from all relevant actors, including

equipment, inspectors and support teams,

and is delivered to managers in an easily

digested and timely manner. Furthermore,

combining real time data with historical

information allows analysis to be performed

on data sets collated over a much larger

timeframe than was possible prior to

deployment, enabling identification of patterns

and trends indicative of slowly developing

problems, or other long term trends offering

scope for improvement.

The Process

Overall, Masterfoam achieved several

strategic objectives:

• Improved measurement precision.

• Improved measurement reliability.

• Data collection cost reduction.

• Data integrated from diverse sources.

• Better management oversight.

• More reliable factory operations.

• Increased production efficiency.

Before

Now

The Outcome

The decision to develop the project was

prompted by our heavy workload of manual data

processing. We can now track production

activity in real time, have a better knowledge of

how production orders are scheduled and the

actual lead times, and identify operators who

require the closest support and training.”

Monica Pascu, Plant Manager

www.advantech.com/en-eu

• Manual, error prone data

collection

• Data recorded on paper forms

• Data not correlated between

different functions

• Unstructured historical data

• Reliable, automatic data

collection

• Data recorded in historian

database

• Business intelligence applied

to big data

• Actionable insights

presented to managers

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