CASE STUDY

Enabling Zero-Defect Manufacturing

Data-Driven Quality Intelligence for a Medical Devices Manufacturer

The Challenge

The manufacturer faced increasing pressure to achieve near-zero defects while complying with stringent regulatory requirements:

  • Sporadic quality issues leading to batch rejections

  • Root cause analysis was slow and largely manual

  • Process parameters were monitored but not correlated with quality outcomes

  • Audit preparation required extensive data collation

  • Lack of early warning indicators before defects occurred

The leadership needed a system that could detect deviations early, support data-backed investigations, and strengthen quality governance—without disrupting validated processes.

Why BayaSense

BayaSense was selected for its ability to act as a real-time quality intelligence layer:

  • Edge-based monitoring without altering validated machine logic

  • High-frequency capture of critical process parameters

  • Time-aligned correlation between machine behavior and quality outcomes

  • Audit-ready data trails and dashboards

  • Scalable architecture aligned with Industry 4.0 quality practices

Most importantly, BayaSense supported continuous improvement without re-validation risk.

Business Impact

 
35–40% reduction in quality defects within 6 months

 

25% reduction in rework and scrap costs

 

Faster batch release cycles


Improved audit outcomes and reduced compliance risk

 

Higher customer confidence and fewer quality escalations

Deployment Scope

Architecture Highlights

  • Monitoring of critical-to-quality (CTQ) parameters
  • Machine condition and process stability tracking
  • Defect trend analysis by machine, batch, and shift
  • Role-based dashboards for Quality, Production, and Management
  • Edge devices connected to production equipment

  • Secure, compliant data flow with full traceability

  • Centralized dashboards with historical drill-down

The solution was deployed in a non-intrusive manner, preserving existing quality certifications.

Key Paramaters

Defect detection

Root cause analysis

Scrap & rework

Audit preparation

Quality governance

Before BayaSense

Post-inspection

Manual, reactive

High variability

Manual data collation

Fragmented

After BayaSense

Early-stage alerts

Data-driven

Predictable, reduced

Audit-ready dashboards

Unified & traceable

Beyond Zero Defect: The Quality Roadmap

With BayaSense in place, the manufacturer is now positioned to:

  • Introduce predictive quality analytics

  • Correlate environmental, machine, and process variables

  • Support digital device history records (eDHR)

  • Integrate selectively with QMS and MES systems

  • Advance toward closed-loop quality control

Client Snapshot

Industry: Medical Devices Manufacturing

Company Size: Mid-sized, export-oriented manufacturer

Products: Disposable and precision medical devices

Markets Served: EU & US

Regulatory Environment: ISO 13485, FDA, CE

Digital Landscape:

  • Quality data captured across multiple systems
  • Limited correlation between process conditions and defects

Key Takeaway

In medical device manufacturing, quality is not inspected—it is engineered.

BayaSense empowered this manufacturer to embed real-time quality intelligence into operations, enabling zero-defect manufacturing while meeting the highest regulatory standards.