Case study: improving quality and reducing scrap in automotive manufacturing
Introduction
An automotive company, part of an international group and a Tier 1 supplier to premium vehicle manufacturers, was facing rising scrap rates and unstable production processes. It operates in a demanding environment where customers expect high quality, repeatable processes and strict adherence to delivery schedules.
As the company produces components for the premium automotive segment, every process deviation directly affects costs, production efficiency and customer satisfaction.
Process analysis identified higher nonconformity rates, inconsistent working practices between shifts, insufficient standardisation and a lack of systematic performance monitoring.
The organisation launched a process improvement project using Lean principles, PDCA and Six Sigma to address the problems systematically and sustain the results.
Challenges identified
The process analysis identified the following main challenges:
- high levels of scrap and rework
- inconsistent process parameters between shifts
- different working methods among operators
- insufficiently standardised procedures
- delayed monitoring of deviations
- poor coordination between production, process engineering and quality
- rising production and customer complaint costs
Alongside these operational problems, the company faced demanding premium automotive customers, for whom quality and process stability are essential to long-term cooperation.
The project approach
The complexity of the problem and the need to coordinate several departments led the organisation to form a multidisciplinary team covering production, quality, process engineering, maintenance and project management.
The project covered:
- detailed process analysis
- defining KPIs
- standardising work
- employee training
- introducing visual management
- daily monitoring of deviations
- applying Lean and Six Sigma tools
- regular progress reporting to management
The objective was to reduce scrap and establish a stable process management system that could be sustained over time.
Methods and tools used
The team used a range of tools to analyse and stabilise the processes:
- the PDCA cycle
- Six Sigma DMAIC methodology
- 5S workplace organisation
- visual management
- KPI monitoring systems
- Pareto analysis
- Ishikawa analysis
- statistical process control (SPC)
- standardised work
- Layered Process Audits (LPA)
- root cause analysis using the 5 Whys
- FMEA risk analysis
- Lean Daily Management meetings
Particular attention was given to involving employees in the changes and developing a culture of continuous improvement.
Project results
Corrective and preventive actions delivered the following results:
- a substantial reduction in scrap
- lower rework and customer complaint costs
- improved process efficiency
- more stable process parameters
- better communication between departments
- improved OEE
- less waste and lower energy consumption
- better process visibility and faster decisions
- greater employee involvement in improvement activities
The project also established a standard way of working that could be applied to other production processes and sites.
Long-term impact
Alongside operational improvements, the project had longer-term effects:
- a stronger quality culture
- greater organisational competitiveness
- better readiness for new projects and customer requirements
- development of a continuous improvement system
- more stable production
- better work organisation and process monitoring
The project showed how Lean, data analysis and active team involvement can deliver practical, measurable results in a demanding automotive environment.
Conclusion
In automotive manufacturing, quality, stable processes and a fast response are essential to competitiveness. Organisations that connect reliable data, standardised processes and continuous improvement build a lasting market advantage.
This case study shows how project management, Lean tools and systematic problem-solving can improve production efficiency, reduce losses and stabilise complex manufacturing processes.
