Production Control Routes for Multi-Step Quality Stabilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex production systems for medicines and food products, stabilizing the quality of final products is challenging due to the cumulative effects of multiple processing steps, where control target values are difficult to optimize uniformly across various devices handling different steps.
Innovation Solution
A production system that determines control target values based on past manufacturing conditions, using a control device to assess the superiority or inferiority of routes through various steps, allowing for dynamic adjustment of control parameters to ensure product quality by referencing past production results and current manufacturing states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If control target values are determined uniformly for each device regardless of manufacturing state, then device operation is simplified, but product quality cannot be stabilized due to varying raw material states and processing conditions
Solution Approach 1:
The control target values are made dynamic rather than fixed. The control device automatically adjusts control target values based on real-time manufacturing conditions and historical data, allowing the system to adapt to varying raw material states and processing conditions without manual intervention, thus stabilizing product quality while maintaining operational simplicity
Solution Approach 2:
The system implements feedback mechanisms by collecting manufacturing conditions and product quality data, analyzing them to determine superior manufacturing routes, and using this information to automatically adjust control target values. This closed-loop feedback enables the system to learn from past performance and continuously optimize control parameters for different manufacturing scenarios
2Manufacturing precision
If control target values are dynamically adjusted based on manufacturing conditions, then product quality is stabilized, but the control system becomes more complex
Solution Approach 1:
The control device performs self-adjustment by automatically determining control target values based on manufacturing conditions and historical data analysis. The system serves itself by autonomously optimizing control parameters without requiring operator expertise or manual tuning, thereby maintaining ease of operation while achieving stabilized product quality through dynamic adjustment
3Manufacturing precision
If fixed control target values are used across all steps, then operation is simple, but the cumulative effects of multiple steps cause quality deviations
Solution Approach 1:
The control device serves multiple functions: it collects data from various manufacturing steps, analyzes manufacturing conditions, determines superior manufacturing routes, and automatically adjusts control target values across different devices and steps. This multi-functional automated system addresses the cumulative effects of multiple processing steps while maintaining operational simplicity through integrated control
Data Source
AI summary
A production system for producing products from raw materials by a production process with several steps has a number of production facilities that perform the steps and a control device. The control device determines a control target value by referring to information about group combinations specified in accordance with the relative merits of the manufacturing condition routes followed by respective lots during the production process. The relative merits are determined on the basis of quality items of the lots, classified for inter-step combinations of groups, which are classified on the basis of manufacturing conditions at the steps.