Work Support System for Adaptive Manufacturing Instruction Control
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Solution Overview
Problem
Current techniques lack the ability to control the content of operating instructions in manufacturing processes based on the manufacturing direction, worker proficiency, and manufacturing achievement.
Innovation Solution
A computer-based work support system that utilizes a manufacturing direction database, achievement database, alarm level database, and multiple regression analysis to calculate deviations, risk rates, and specify optimal parameters, allowing for adaptive instruction control and alarm information management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If adaptive human interface techniques are applied to collect and analyze worker information, then worker preference and proficiency can be accommodated, but the system cannot control operating instruction content based on manufacturing direction and achievement
Solution Approach 1:
The system segments worker information into two distinct databases: one storing preference and proficiency data (from adaptive interface), and another storing manufacturing direction and achievement data. This segmentation allows each database to serve its specific function without interference, enabling both adaptability to workers and preservation of manufacturing data integrity simultaneously.
Solution Approach 2:
The system introduces an intermediary analysis mechanism that processes both worker information (preference, proficiency) and manufacturing information (direction, achievement) separately before integrating them to generate operating instructions. This intermediary process ensures that manufacturing direction and achievement data are not lost but rather transformed into actionable guidance tailored to each worker's capabilities.
2Manufacturing precision
If manufacturing direction and achievement data are stored and analyzed, then operating instructions can be optimized, but the system complexity increases
Solution Approach 1:
The system employs a universal data management architecture where a single integrated platform performs multiple functions: storing worker information, storing manufacturing direction and achievement data, analyzing deviations, generating operating instructions, and providing feedback. This multi-functionality reduces overall system complexity compared to having separate specialized systems for each function.
Solution Approach 2:
The system transforms complex manufacturing data into simplified parameters by calculating deviation values between manufacturing direction and actual achievement. These deviation parameters serve as concise indicators that drive the generation of operating instructions, reducing the complexity of managing raw manufacturing data while maintaining precision in instruction optimization.
3Manufacturing precision
If deviation calculation and risk rate analysis are performed for all parameters, then manufacturing precision improves, but processing time increases
Solution Approach 1:
Instead of performing comprehensive analysis on all manufacturing parameters simultaneously, the system applies partial action by focusing analysis on parameters showing significant deviations from manufacturing direction. The system calculates risk rates selectively for parameters exceeding threshold deviations, thereby maintaining manufacturing precision while reducing overall processing time through targeted rather than exhaustive analysis.
Data Source
AI summary
The content of an operating instruction to each worker in a manufacturing process is controlled in the following way based on a manufacturing direction to the worker and on manufacturing achievement, work proficiency, and the like of the worker for the manufacturing direction. A deviation between a manufacturing direction and manufacturing achievement is calculated. Manufacturing direction parameters acting as factors of the calculated deviation are specified for each product to be manufactured. The above information is stored in a deviation factor database. For a new manufacturing direction, manufacturing direction parameters therein are checked against the deviation factor database to determine alarm information to be given to a worker on a manufacturing line, and the determined alarm information is outputted.