17979277. RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF simplified abstract (KIA CORPORATION)
RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF
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RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 17979277 titled 'RECOMMENDATION ALGORITHM-BASED PROBLEM ACTION SUGGESTION SYSTEM AND METHOD THEREOF
Simplified Explanation
The patent application describes a recommendation algorithm-based system that suggests action methods for solving abnormality issues in production equipment or products. The system includes a query input unit, a database unit, and a controller.
- The query input unit extracts text data from the user's query information regarding abnormality in production equipment or products.
- The database unit manages a past action history of workers related to abnormality occurrences and stores it in a problem action database.
- The controller performs pre-processing to convert the text data into numerical data that can be processed by the recommendation algorithm.
- The controller then calculates the similarity between the numerical data and the problem action data in the database unit.
- Based on the similarity, the controller suggests action methods to the user terminal in an order of higher probability of solving the problem.
Potential Applications
- Manufacturing industry: This system can be used in manufacturing plants to provide workers with recommended action methods for resolving abnormality issues in production equipment or products.
- Quality control: The system can assist in improving the quality control process by suggesting effective action methods for addressing abnormality occurrences.
Problems Solved
- Lack of standardized action methods: The system provides a standardized approach by suggesting action methods based on past action history, ensuring consistency in problem-solving.
- Time-consuming troubleshooting: The system reduces the time required for troubleshooting by recommending action methods with a higher probability of solving the problem.
Benefits
- Improved efficiency: The system streamlines the problem-solving process by suggesting action methods, saving time and effort for workers.
- Enhanced problem-solving accuracy: By analyzing past action history and calculating similarity, the system provides more accurate recommendations for solving abnormality issues.
- Consistency in problem-solving: The system ensures consistency by suggesting standardized action methods based on the problem action database.
Original Abstract Submitted
A recommendation algorithm-based problem action suggestion system includes a query input unit configured to extract text data for each item in user's query information received from a user terminal in abnormality of a device of production equipment or a product, a database unit configured to manage a past action history of workers with respect to abnormality occurrence of the device into a database (DB) of problem action data, and a controller configured to perform a pre-processing work for converting the text data into numerical data that may be processed by the recommendation algorithm, to obtain similarity between the numerical data and the problem action data of the database unit and to suggest action methods to the user terminal in an order of higher probability of solving the problem.
