A global semiconductor manufacturer was struggling to produce automotive quality documents, including Production Part Approval Process (PPAP), Advanced Product Quality Planning (APQP), Part Submission Warrant (PSW), Customer-Defined Control of Quality (CDCQ), and reliability documents, at the pace and consistency that customers and auditors demanded. These documents depend on large, constantly changing master data sets pulled from Product Lifecycle Management (PLM) systems, spreadsheets, and semantic data hubs. Even small inconsistencies, such as a missing attribute or an outdated lifecycle state, could invalidate an entire customer submission, making the process slow, high-risk, and costly to maintain.
The Solution
Semaku designed and implemented a cloud-native, rules-driven automation platform tailored specifically to automotive quality workflows and compliant with International Automotive Task Force (IATF) 16949 and AEC-Q100/Q101 (automotive-grade component qualification standards). Master data is automatically ingested, validated, and normalized, then evaluated through configurable business logic that enforces quality rules, constraints, and manufacturing conditions. Documents are assembled dynamically using modular Darwin Information Typing Architecture (DITA)-based templates and produced through an event-driven pipeline, ensuring a consistent look and feel across all customer-facing outputs.
The Outcome
The manufacturer now operates a scalable, audit-ready documentation system with over 95% coverage of required automotive master data, near-zero manual intervention, and significantly faster turnaround for both customer and audit submissions. A previously high-risk, resource-intensive process has become a predictable, transparent pipeline that delivers critical quality documentation on demand, reducing compliance risk and freeing up engineering resources for higher-value work.
