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Keyword “Production Intelligence”:<br />

SIEMPELKAMP | MACHINERY AND PLANTS<br />

Efficient use of resources in the wood-<br />

based products industry with Prod-IQ ®<br />

Due to intelligent process control<br />

engineering by <strong>Siempelkamp</strong>, cost<br />

reductions and resource savings are<br />

no longer a vision but have become<br />

a reality. Prod-IQ ® has established itself<br />

as a tool to control processes in the<br />

production of panel-type wood-based<br />

materials. The benefit: process modeling<br />

and online quality control are precisely<br />

tailored to the specific requirements<br />

of the wood-based products industry!<br />

P rod-IQ® is based on a wide range of modules and covers the<br />

areas of production data management, online quality forecasting<br />

as well as servicing and maintenance. Prod-IQ ® is divided<br />

into the separate areas of Prod-IQ.basics, Prod-IQ.business,<br />

Prod-IQ.quality, and Prod-IQ.maintenance.<br />

The experiences with Prod-IQ ® have demonstrated that variations<br />

in quality can be permanently reduced. Customers benefit from<br />

significant material savings of more than 2.5% and, at the same<br />

time, from a reduction of the scrap material rate by 1%. For the<br />

relevant quality parameters online quality forecasts are achieved<br />

with 95% accuracy. Downtimes are reduced by up to 2.5%.<br />

Prod-IQ ® in use<br />

One large advantage of the tool: The availability of reliable, up-todate<br />

and need-driven (management) data adds more transparency<br />

and comparability to the production process. Production parameters<br />

are precisely determined and evaluated. The database<br />

provides answers to questions such as: What is when, where and<br />

to what amount used for the production of a board? The answers<br />

lead to a more efficient use of the resources.<br />

Creating transparency –<br />

the production database Prod-IQ®<br />

By Gregor Bernardy<br />

Prod-IQ ® offers numerous features to achieve higher productivity.<br />

The ability to generate reliable and up-to-date management data<br />

on plant availability, capacity, consumption, and cost is one of the<br />

system’s strong points. Furthermore, the system allows the online<br />

quality forecasting of critical material parameters such as internal<br />

bond, bending strength, thickness swelling, and surface soundness<br />

which can otherwise only be determined through destructive<br />

material tests in a laboratory. Condition-based servicing and<br />

maintenance are also part of the system. The tools also allow for a<br />

quick start-up after a shutdown and a continuous improvement in<br />

the operation of <strong>Siempelkamp</strong> plants.

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