Predictive Quality (Production)

Excellent production quality is the figurehead of each production company. Innovative companies which are ready for the future how to improve quality in production avoiding minor quality and discover disturbing factors on quality or on machinery, early in advance.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of quality optimization:

• Assess and predict quality of production steps
  You can skip time consuming quality checks (i.e. ultrasonic). Instead of checking only a fraction of critical production steps, 100% off all relevant production steps is checked. Manual checks, which might be required by ISO standards, are targeted to borderline processing.
  Result:
  Significant cost reduction by quality test automation and, at the same time, 100% test coverage. Discovers minor quality early and thus, avoids unnecessary machinery usage.
• Discover interwoven disturbing factors and hidden machine anomalies
  Our self-learning algorithms discover complex disturbing factors, for example in complex variant diversity which normally hardly give you a chance to find out reasons for minor quality. Or in processes, which are exactly the same (same machineries, same calibrations, same supplier material, …), but still deliver – sometimes – bad quality.
  Result:
  Sustainable adjustment of production process to avoid low quality.
• Predictive machinery control
  Machinery should always run in such a way that it produces high quality. However, batch changes or high variant diversity often make it difficult to always produce high quality. Our self-learning algorithms discover complex and interwoven correlations.
  Result:
  Machine operator is given recommendations for optimal machinery set up. In this way, know-how of experienced machine operators is automatically transferred to less experienced production staff. Or it is possible to automatically control machines.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine behavior (i.e. changed production or machinery utilization). Customized algorithms are automatically rolled out to all machinery instances.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

Bosch

Predictive Quality Analytics in Production

T-Systems

Predictive Quality Control

ZF

Self-learning AI Improves Production Quality in Complex Variant Processing

Koehler Paper Group

Predictive Quality Analytics in Production