Siempelkamp Prod-IQ witnesses great demand
Published on :Friday, May 13, 2022
Siempelkamp’s excellence in process control is once again manifested with over 200 Prod-IQ. systems sold as well as excellent references. The Turkish wood-based panel producer Orma has ordered the 40th Prod-IQ.quality MES system and system no. 41 will go to Pavatex, a Swiss manufacturer of insulation boards, and two more customers chose Prod-IQ.quality.
With the Prod-IQ MES system, Siempelkamp provides plant operators with a digital system that draws valuable resources from system data. More productivity, higher plant speed, as well as a reduction of rejects and preventive maintenance are just some of the convincing advantages that Prod-IQ can offer wood-based panel producers. “The highest possible increase in efficiency and effectiveness is one of the main concerns that Siempelkamp customers wish to ensure for their systems. With Prod-IQ process control, we have created an intelligent system that combines the current megatrends of digitalization and sustainable production which are indispensable for system operators who want to stand out as pioneers in the market,” says Gregor Bernardy, Head of MES & Industrial IT at Siempelkamp Logistics & Service GmbH.
Recently, the Turkish wood-based panel producer Orma decided to order the 40th Prod-IQ.quality MES system, which has meanwhile been successfully commissioned at the Isparta site in a particleboard plant. Pavatex is also integrating the system into a new plant in France, after an existing plant at the same location had already been equipped with Prod-IQ.quality.
For Neslihan Demirel, Orma’s General Manager and owner, the investment in Prod-IQ.quality aims to significantly optimize production processes: “We chose Siempelkamp’s Prod-IQ.quality because it is an excellent tool for achieving the highest level of operational excellence. Our primary concern here is that the system be intelligent and, at the same time, user-friendly.”
In addition, the software calculates the minimum quality reserve needed for ensuring compliance with the quality criteria. Since the fluctuation range can be clearly delimited, the plant’s production runs right at the optimal level. This increases productivity while maintaining the same quality and models production processes as efficiently as possible, because additional safety reserves are not required.
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