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No compromises on quality.

At Swoboda, no quality issues are left to chance. We think and act according to the zero-defects philosophy. The zero-defects
philosophy means that quality requirements are ensured at all times, from the feasibility study phase up to and including the volume production phase. Single-digit PPM data show the success of our work.

Swoboda has always been dedicated to highly efficient and all-inclusive quality management at an early stage. Our metric is our qualification to the continually updated IATF 16949 for the automotive industry and the ISO 26262 Road vehicles - Funcional safety.
Certified quality management system

That is the way we ensure high quality from the start of the project until product delivery

Quality preplanning

Our sophisticated quality preplanning is based on feasibility studies.
After the quality concept has been worked out, the assessment plan for
each phase of the development and for FMEA is then prepared,
set up and evaluated extensively with the help of CAQ.


The quality and reliability of our products are verified on extensive and ultramodern testing equipment. We carry out numerous test runs and include special customer requirements, which we integrate using standard EMPB (VDA) and APQP TS/ISO 16949 procedures. The data and information acquired is systematically assessed and used to ensure the improved implementation of future projects.

Supply chain parts concept

We use a three-pillar model to guarantee the high quality of purchased components. First, we require that our suppliers have a QM system meeting DIN ISO EN 9000ff and solid experience in the automotive industry (QMS). Second, we require that they conform to a general parts-related quality management agreement (QMV), and thirdly that they apply a quality management system for their supplier parts (QMZ).

Process monitoring

We rely on the latest in-process measurement technologies for process monitoring. This permits us to reliably maintain our high quality standards in the many individual processes adapted to each stage of the manufacturing process. The results from these statistical methods of process monitoring allow us to identify trends, set trigger limits for action-taking, and assess efficiency from an early stage of the entire process.