HENN
HENN improves its production quality with AVEVA CONNECT and PI System
HENN, an automotive parts manufacturer, wanted to improve the quality of its charge air connectors, critical components used by most major car brands, whose failure could damage the image of its OEM customers. With outdated legacy systems, uncontextualized data and a need to combine time series with part numbers, identifying the cause of a defect was particularly difficult. The company subscribed to AVEVA CONNECT data services and deployed Edge Data Store technology on AVEVA PI System to build an agile cloud architecture. HENN now tracks and traces its parts precisely, shares data across suppliers and identifies quality issues in real time. The benefits are tangible: reporting time has dropped from two days to two minutes, overall efficiency has increased by 10% and the flexible SaaS model ensures optimal cost-effectiveness as software needs evolve.
Integrated AVEVA software
AVEVA CONNECT
HENN uses AVEVA CONNECT with Edge Data Store to connect its production equipment to the Cloud. This platform enables real-time data access from anywhere and expands its industrial digital ecosystem.
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AVEVA PI System
HENN relies on AVEVA PI System to collect and archive data from its manufacturing processes. This solution provides complete visibility into operations, facilitating performance analysis and continuous optimization.
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FAQ
How is AVEVA CONNECT transforming production quality in the automotive industry?
AVEVA CONNECT provides HENN, a manufacturer of charge air connectors, with a cloud platform to collect, share and analyze quality data in real time. Combined with Edge Data Store and PI System, CONNECT makes it possible to trace every part precisely, identify defects immediately and share information with OEM customers. For a supplier whose part failure could damage the image of a global automotive brand, this cloud-based traceability is a major differentiator in markets with demanding quality and compliance requirements.
What productivity gains does the AVEVA cloud architecture bring to an automotive supplier?
HENN reduced its reporting time from two days to two minutes and improved its overall efficiency by 10% thanks to AVEVA CONNECT, Edge Data Store and PI System. These gains come from real-time data collection, automated analysis and instant sharing of indicators between sites and with suppliers. For an automotive manufacturer, this acceleration turns quality from an after-the-fact inspection process into integrated real-time management, a condition for competitiveness with carmakers that require data to be delivered with parts.
What is AVEVA Edge Data Store used for in an industrial cloud architecture?
AVEVA Edge Data Store collects data as close as possible to the equipment (at the edge) and reliably transmits it to the AVEVA CONNECT cloud, even when the connection is intermittent. At HENN, this edge layer ensures that no critical production data is lost and that cloud analytics are based on complete information. It is a key architectural building block for manufacturers who want to benefit from the cloud without depending on each site's network quality, and it is particularly useful in multi-site automotive manufacturing.
Why combine time-series data and part numbers in the automotive industry?
Identifying the cause of a defect in an automotive part requires cross-referencing real-time process measurements (time series) with unit-level traceability (part number). Before AVEVA, HENN struggled to link these two dimensions because of outdated legacy systems. PI System and CONNECT now contextualize each measurement with production identifiers, enabling precise root cause analyses. For a supplier, this capability is essential for quality assurance, targeted recalls and the satisfaction of carmaker customers.
What are the benefits of an AVEVA SaaS model for an automotive supplier?
HENN chose AVEVA CONNECT's SaaS licensing model to ensure a flexible, cost-effective approach to fluctuating software needs. Rather than investing in costly on-premises infrastructure, the supplier scales its cloud resources according to production volumes and customer projects. This model also speeds up the adoption of new features without heavy upgrade projects. For automotive manufacturers under strong cost pressure, it is a particularly relevant lever of financial and operational agility.