Production Route Control for Stable Multi-Step Product Quality
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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 improve uniformly across various devices handling different steps.
Innovation Solution
A production system that determines control target values for each production apparatus based on past manufacturing conditions and raw material properties, using a control device to adjust settings dynamically according to the superiority or inferiority of specific routes in the production process, ensuring product quality by classifying lots and routes based on quality items and manufacturing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If fixed control target values are set uniformly for each device regardless of manufacturing state, then device operation is simplified, but product quality cannot be stabilized due to varying raw material properties and processing conditions
Solution Approach 1:
The control device dynamically adjusts control target values for each production apparatus based on real-time manufacturing state information and historical data analysis. Instead of using fixed uniform values, the system continuously adapts control parameters to match varying raw material properties and processing conditions, thereby stabilizing product quality while managing complexity through automated decision-making algorithms
Solution Approach 2:
The system changes control parameters (target values) based on analyzed manufacturing conditions and raw material properties. The control device selects appropriate control target values from multiple possibilities by analyzing the relationship between manufacturing conditions and product quality outcomes, allowing flexible parameter adjustment to maintain consistent product quality across different production scenarios
2Manufacturing precision
If control target values are adjusted dynamically based on manufacturing conditions, then product quality can be stabilized, but the control system becomes more complex and difficult to manage
Solution Approach 1:
The control device autonomously determines and adjusts control target values without requiring manual intervention for each adjustment. The system automatically analyzes manufacturing conditions, references historical data, and selects appropriate control parameters, enabling the control system to self-manage the complexity of dynamic adjustments while maintaining product quality consistency
Solution Approach 2:
The system incorporates feedback mechanisms where the control device continuously monitors manufacturing conditions and product quality outcomes, then uses this information to refine future control target value selections. This closed-loop approach allows the system to learn from past performance and automatically optimize control parameters, reducing the operational burden while maintaining high quality standards
3Manufacturing precision
If experimentation with control target values in specific steps is performed, then process improvement may be achieved, but the cumulative effects across multiple steps make it difficult to identify the source of quality variations
Solution Approach 1:
The control device analyzes and manages each production step separately, determining control target values for individual apparatuses based on their specific manufacturing conditions and their contribution to final product quality. This segmented approach allows the system to identify which specific step or apparatus is causing quality variations by analyzing the relationship between control target values at each step and the resulting product quality, making it easier to pinpoint optimization opportunities without being overwhelmed by cumulative effects
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 routes are respectively set for a number of groups that are classified on the basis of raw material properties formed of a combination of property items of one or more types of raw materials. The relative merits of the routes 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.