Tecomet reduces production part approval process by 80%

The challenge

Tecomet, a global leader in precision manufacturing solutions, operates 16 facilities worldwide, producing critical components for the medical device and aerospace industries. Facing challenges in managing quality inspections and approval processes, Tecomet turned to Ideagen to explore digital solutions that would streamline their operations and optimize their quality management.

Tecomet’s manual, paper-based approach to quality control and approvals created bottlenecks and inefficiencies:

• Approvals took up to three days, with physical documents spread across multiple tables
• Inconsistencies and risks arose from human error and manual workflows
• Tracking and managing New Product Introduction (NPI) and PPAP requirements proved complex and time-consuming
   

The solution

After in-depth consultations, Tecomet chose Ideagen Quality Control to digitalize their PPAP and NPI processes:

• Ideagen Quality Control provided an end-to-end electronic workflow, replacing manual steps with automated processes that ensured consistency and accuracy
• Tecomet gained a gated process for managing parts and assemblies, allowing them to track progress and mitigate risks more effectively
• Engineering, quality and production teams could collaborate seamlessly within a shared digital environment, increasing visibility across departments

The implementation

Since adopting Ideagen, Tecomet has significantly optimized their processes:

• The PPAP process now takes hours instead of days, enabling quicker responses to customer needs
• With structured workflows, Tecomet eliminated errors associated with manual data entry, ensuring accurate and reliable submissions
• Digital records allow any team member to seamlessly pick up tasks, reducing delays due to staff absence

The outcome

• 80% faster PPAP completion ensures timely product approvals
• Streamlined document management with reduced reliance on physical paperwork
• Consistent quality assurance with automated, mistake-proof workflows