The result is not only faster problem resolution but also greater overall efficiency and stability across production processes.
Key points:
- Digitization improved production efficiency and quality.
- Automated data collection accelerated problem solving.
- Downtime was significantly reduced and production stability improved.
Digitizing manufacturing and problem-management processes has become an essential part of industrial transformation, driven by pressure for greater efficiency, higher quality, and faster incident resolution. Many manufacturers, particularly in the automotive industry, face the challenge of integrating technologies that support not only automated real-time data collection and analysis but also systematic identification and resolution of problems.
Such solutions are important for maintaining competitiveness and help minimize downtime while supporting long-term improvements in production quality.
The client
The client is a global automotive manufacturer and one of the leading brands in its field. It focused on improving production efficiency and quality through systematic problem management. Given the high requirements for efficiency and precision when addressing production problems, the client decided to implement a digital solution.
The problem: inefficient problem identification in production
The client faced the challenge of identifying and resolving production problems effectively to improve production continuity and quality. Manual incident recording was time-consuming and prone to errors, making it difficult to track the occurrence and causes of problems accurately. The client needed a centralized digital solution for automated incident management, systematic data collection, and analysis to support decision-making.
The solution: digitizing the problem-solving process
Aspecta developed and uses Solvedio to digitize customer processes. In this case, the solution manages problems in the manufacturing process and helps improve the efficiency and automation of identifying and resolving production issues.
Digitizing production problem solving enables:
- Automated data collection and classification: Employees use mobile devices to record problems in real time, with each case classified and localized.
- A systematic problem-solving process: The platform provides clearly defined steps for each problem, from initial recording through resolution, while capturing precise data that can later support analysis and process improvement.
- Root-cause analysis tools: Solvedio integrates tools such as 5 Whys and Fishbone to help identify the root causes of problems and support teams in resolving them effectively.
- Real-time incident tracking and visualization: Managers can monitor the status and progress of problem resolution, increasing response speed and reducing production downtime.
Results
Digitization delivered significant improvements in production problem solving and increased overall quality. The digitized process enabled the client to:
- Accelerate problem solving: Solvedio automates data collection, analysis, and decisions about problem-resolution procedures. As a result, problems are resolved faster and more accurately, reducing production downtime.
- Increase efficiency: Solvedio improves the efficiency of the entire problem-solving process through automatic incident classification and recognition, significantly reducing resolution time and supporting smooth production.
- Improve problem localization and analysis: The platform accurately locates problems within the manufacturing process, improving identification accuracy and reducing the risk of recurrence. This contributes significantly to long-term production quality.
- Improve production quality: Timely problem resolution and support for root-cause analysis help produce higher-quality products. Solvedio helps identify and remove problems quickly before they negatively affect the final product.
- Improve visibility and tracking: Solvedio monitors the status of individual incidents in real time, supporting faster responses to new issues and contributing to overall product safety.
- Improve data analysis: The system systematically collects and analyzes large volumes of data, improving understanding of problems and supporting suitable solutions for long-term manufacturing process improvement.
Aspecta helped the client move toward a proactive approach to managing production problems, improving both the efficiency of problem resolution and overall satisfaction with the stability and quality of the production process.
Conclusion
Implementing Aspecta’s Solvedio solution for production problem management allowed the global automotive manufacturer to digitize and streamline its processes, reducing downtime, improving product quality, and increasing production reliability. The project not only improves manufacturing indicators and flexibility in incident resolution but also strengthens the manufacturer’s ability to remain competitive in a demanding market environment.
Aspecta thereby reinforces its commitment to innovation and demonstrates how advanced digital solutions can fundamentally support stability, growth, and long-term success in a dynamic manufacturing sector.
