Traditional metal production
Our company is a contracted key supplier to a world-class medical product development and manufacturing company. We have been supplying mechatronic components and precision welded chassis to this company since 2012.
The annual amount of steel feedstock is up to 250 tons, the various parts produced in series are manufactured in more than 300 variants, and the production of precision parts exceeds 20,000 pieces.
Manufactured products must meet very strict quality and standard requirements for medical equipment, therefore welding seams must be stable and uncovered painted parts must be aesthetically pleasing, in most cases invisible.
In our new plant, opened in early 2019, our products are manufactured in state-of-the-art welding and grinding cabins with high purity requirements. Excellent working conditions are provided by our Kemper exhaust and air purification system, which meets the highest standards.
Innovative manufacturing technologies
The table below shows our free machine capacities
Sheet metal processing plant
Industry 4.0 solution
Innomechanika Ltd’s clear goal, opportunity and response to today’s fierce competition is growth. We consider it important to create an efficient organization that use large enterprise technologies and systems, but with significantly less bureaucracy and the flexibility of small businesses.
In 2018, we were among the first SMEs in Hungary to introduce an integrated enterprise resource planning and intelligent production management system that complies with INDUSRTY 4.0. In addition to SAP Business One, our company has an integrated BX Core production management system and BX POEM visual production planning program.
Our warehouse has storage location identification, barcode product tracking, production per workstation electronic reporting, PDC terminals, and objective data integration from production machines. The system provides real-time data to both our own production and our customers. A further advantage is that it forms a kind of self-learning system and, by monitoring previous production data, improves our iterative processes, thus efficiency.