Tuan Trung Ngo

AI Enthusiast

Web Developer

Project Manager

Video Editor

Tuan Trung Ngo

AI Enthusiast

Web Developer

Project Manager

Video Editor

AI Process Optimization Tool

  • Project Lead / Team: Tuan Trung Ngo
  • Project Period: 08/2023
  • Client: DUC Solution GmbH
  • Link: https://www.duc-solution.de/
  • Categories: Artificial Intelligence
  • Tools: Open AI API + Custom Instructions, PDF Analyzer
All projects
  • Project Lead / Team: Tuan Trung Ngo
  • Project Period: 08/2023
  • Client: DUC Solution GmbH
  • Link: duc-solution.de
  • Categories: Artificial Intelligence
  • Tools: Open AI API + Custom Instructions, PDF Analyzer
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Introduction to DUC Solution

Established in 2020 and based in Karlsruhe, DUC Solution has developed a niche in combining automotive engineering with industrial design. Their collaboration with a prominent German luxury car manufacturer involves intricate engineering and design tasks. Their approach blends practical engineering solutions with innovative design, aligning with the demands of modern manufacturing processes.

The Challenge

In their collaboration with the luxury car brand, DUC Solution’s team regularly conducted MTM (Methods-Time Measurement) analysis to optimize production lines. This critical process, previously done manually, involved sifting through hundreds of data cards to identify specific MTM codes. Despite their proficiency, the manual process was time-consuming and posed challenges in efficiency and accuracy.

car factory

The Solution

To streamline this process, we developed an AI-powered tool capable of identifying MTM codes based on brief descriptions or keywords. In preparing this tool, we prioritized data security and legal compliance by anonymizing all data inputs. The AI model was meticulously trained using these anonymized data cards, allowing it to automatically analyze PDF files and accurately grasp the nuances of various codes. The initial version focused on basic movements, yielding highly accurate results. Further refinement with custom assumptions based on engineers’ expertise enhanced its effectiveness, offering more precise outputs and significantly improving the MTM analysis process.

Future Enhancements

Looking ahead, we aim to enhance the tool’s stability and add new features, such as voice input capabilities. The ultimate goal is to evolve the tool to analyze employee movements directly from video footage, further optimizing production line processes with even greater accuracy.

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