Interactive Database for Linking Warranty and Manufacturing Data
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Solution Overview
Problem
Existing quality control systems lack the ability to efficiently link in-field warranty data with in-plant manufacturing data, leading to a slow and ineffective manufacturing improvement process due to manual and time-consuming identification of problem areas, resulting in higher manufacturing and warranty repair costs.
Innovation Solution
A flexible and interactive database system that allows users to establish links between external and internal quality data items, perform dynamic searches, and visualize data interactively, enabling the detection of problematic areas and facilitating user-directed searches and visual presentations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used to identify problem areas in the manufacturing chain, then existing systems can operate with simple architecture, but the process becomes tedious and time-consuming, resulting in slow manufacturing improvement
Solution Approach 1:
The patent replaces manual mechanical processes with an automated computer-based system that automatically links in-field warranty data with in-plant manufacturing data. The system uses software algorithms to perform data association, analysis, and visualization without human intervention, thereby eliminating the tedious manual processes and significantly reducing the time required to identify manufacturing problems.
Solution Approach 2:
The system enables self-service by automatically performing data linking and analysis functions that previously required manual effort. The automated generation of reports and visualizations allows the system to serve its own analytical needs without external human input, improving productivity while reducing time loss.
2Adaptability or versatility
If existing quality control systems are used, then system complexity remains low, but the ability to link in-field warranty data with in-plant manufacturing data is insufficient
Solution Approach 1:
The patent implements a universal database system that can handle multiple types of data (warranty data, manufacturing data, quality control data) and perform multiple functions (linking, analysis, visualization, reporting). This multi-functional approach increases adaptability and versatility while managing complexity through integrated design rather than separate specialized systems.
Solution Approach 2:
The system introduces a database as an intermediary layer between in-field warranty data and in-plant manufacturing data. This intermediary database structure enables efficient linking and association of disparate data sources, enhancing data linking capability while organizing complexity into a manageable centralized repository.
3Productivity
If manual data analysis processes are used, then computational resources required are minimal, but the analysis process becomes ineffective and costly
Solution Approach 1:
The patent replaces manual data analysis with automated computational processes that efficiently process and analyze large volumes of warranty and manufacturing data. The computer-based system performs complex queries, statistical analysis, and pattern recognition that would be impractical manually, significantly improving analysis efficiency while reducing the indirect energy loss associated with prolonged manual analysis and its costly outcomes.
Solution Approach 2:
The system performs preliminary data processing, cleaning, and organization before analysis occurs. By preparing data in advance and establishing efficient data structures, the system reduces the computational resources needed during actual analysis, thereby improving overall analysis efficiency while minimizing energy consumption and associated costs.
Data Source
AI summary
Embodiments of the present disclosure relate to systems, techniques, methods, and computer-readable mediums for one or more database systems for data processing, including database and file management, as well as systems for accessing one or more databases or other data structures and searching, filtering, associating, and analyzing data. The present disclosure further relates to computer systems and techniques for interactive data visualization and presentation from one or more databases.


