[Case Study] Work Analysis of Yokogawa Manufacturing's Production Site Using AI

basic information

【Specifications】 - AI Technology: High-precision motion recognition and time measurement technology - Supported Data Formats: Recorded video data (compatible with various formats) - Analysis Time: Analyzes several hours of video in approximately 20 minutes - Analysis Content: Identification of the worker's hands and objects, measurement of action time, detection of anomalies - Output Results: List of improvement candidates, identification of efficiency points, comparative analysis report among workers 【Details of the Implementation】 - Data Collection: Recorded actual work scenes to gather data for detailed analysis by AI. - AI Analysis: Analyzed the collected video data using high-precision motion recognition and time measurement technology. - Anomaly Detection: Identified outliers in process cycle times by recognizing the worker's hands and objects and measuring the time taken for each action. - Discovery of Efficiency: Identified waiting times in assembly equipment and discovered efficient cart operations by veteran workers. - Comparative Analysis: Analyzed approximately 200 cycles of actions by newcomers and veterans to clarify differences in work efficiency and areas for improvement.

Price information

Negotiable *The structure may change depending on the requirements, so please inquire.

Delivery Time

Applications/Examples of results

1. Optimization of the Production Process - Early Detection of Process Anomalies: Analyze the actions of workers in detail and identify outliers in the process cycle time. Early detection of potential process anomalies allows for quick improvements in preparation oversights and inappropriate work procedures. - Identification of Improvement Points: Based on the data obtained from the analysis results, identify specific improvement points to enhance the efficiency of the production process. 2. Human Resource Development - Motion Comparison Analysis: Conduct a detailed comparative analysis of the actions of new and veteran workers to clarify differences in work efficiency and areas for improvement. Effectively share the knowledge and experience of veterans. - Creation of Effective Training Programs: Based on the analysis results, create training programs tailored to individual workers to support skill enhancement. 3. Quality Control - Data-Driven Quality Improvement: Conduct detailed data analysis to reduce quality variation and improve product consistency. - Continuous Quality Evaluation: Perform regular data analysis to support ongoing improvements in quality management. 4. Promotion of Efficiency - Reduction of Waiting Time: Identify waiting times in assembly equipment, optimize cart operations, and enhance equipment efficiency to improve overall work efficiency. - Improvement of Work Efficiency: Compare the actions of veteran and new workers to develop work procedures that leverage each individual's strengths, thereby enhancing overall work efficiency.