YANFENG: Driving Standardization and Efficiency

Background
As an Advanced Manufacturing Engineer at Yanfeng, Angel Lázaro plays a key role in optimizing operations across multiple plants. With a background in industrial engineering and material flow, his focus is on driving efficiency and standardization in manufacturing processes. One of the most significant tools in this effort is AVIX.

Angel has spent years working to improve manufacturing processes, often encountering inefficiencies caused by inconsistent methods and outdated tools. Before AVIX, process analysis relied heavily on Excel spreadsheets, manual calculations, and video players such as Windows Media Player. “The amount of time we spent analyzing processes before was unbelievable,” Angel explains. “Switching between spreadsheets and video players made it difficult to get accurate data. AVIX completely changed that.”

The Challenge
Standardizing process documentation and analysis across multiple plants was a major challenge. Different teams used different methods, leading to inconsistencies in data collection and process optimization. Without a unified system, benchmarking and knowledge sharing were difficult, slowing down improvement efforts.

Another challenge was the inefficiency of traditional methods. Using Excel and video players for process analysis was not only time-consuming but also prone to errors. “We often had different people interpreting the same data differently,” Angel recalls. “That led to discrepancies, and we couldn’t always trust that we were making the best decisions based on our analysis.”

The Solution
Implementing AVIX across multiple plants provided Angel and his team with a standardized, reliable method for process analysis. “The ability to play and analyze videos in the same tool is a game changer,” says Angel. “It eliminates guesswork and allows us to make precise improvements.”

With AVIX, Angel developed internal guidelines to ensure all plants followed the same structure when documenting processes. This created a unified approach to process analysis, allowing for easier benchmarking and knowledge sharing. “When every plant uses the same methodology, we can compare data, share best practices, and improve efficiency across the entire organization,” he says.

Another key benefit of AVIX is its ability to simulate different production scenarios before implementing changes on the factory floor. “Instead of stopping a production line for trials, we can adjust task distributions in AVIX and instantly see the impact,” Angel explains. “It saves time, reduces disruptions, and helps us optimize operations faster.”

The Results
The adoption of AVIX has significantly improved efficiency, standardization, and data accuracy across the plants. Key results include:

✅ Faster process analysis – Teams can now analyze processes in a fraction of the time it used to take.

✅ Improved decision-making – Data-driven insights lead to more informed and accurate decisions.

✅ Better benchmarking – A unified methodology allows for easier comparison between plants and more effective knowledge sharing.

✅ Enhanced onboarding and training – Clear, structured documentation in AVIX simplifies learning for new employees.

Angel has also observed a shift in how teams approach continuous improvement. “Once people start using AVIX, they don’t want to go back,” he says. “It’s intuitive, efficient, and directly supports our improvement efforts.”

Lessons Learned
Adopting new tools always comes with challenges, but the key to success has been a clear implementation strategy and ongoing training. Angel emphasizes the importance of involving end users early in the process and demonstrating the value of the tool. “When people see how much easier their work becomes, they embrace the change,” he says.

Looking ahead, Angel sees even greater potential for AVIX within the organization. As more teams integrate the tool into their workflows, the impact on efficiency and process control will continue to grow. “AVIX is not just a tool—it’s a foundation for how we standardize and optimize our processes”, he concludes.