Production Order Grouping by Sequential Relation for Factory Monitoring
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Solution Overview
Problem
In high-mix low-volume production environments, existing methods for visualizing factory data fail to effectively display the order of processing implementations, leading to a loss of information on production conditions and making it difficult to monitor production conditions efficiently.
Innovation Solution
An information processing device that extracts and groups processing implementations based on their sequential relation, allowing for improved visibility of the order of processing steps by integrating facility orders into groups that share similar sequential relations, enabling clearer visualization of production conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If products are grouped by facilities to be used without considering sequential relations, then the quantity of information displayed is reduced, but the loss of information on production conditions occurs
Solution Approach 1:
The patent segments the production data by dividing it into multiple charts based on different sequential relations of facility orders. Instead of displaying all products in a single chart or grouping them only by facility, the invention creates multiple segmented charts where each chart represents a specific sequential relation pattern. This segmentation preserves the sequential information while organizing the data in a manageable way.
Solution Approach 2:
The patent introduces a new dimension for grouping products - the sequential relation of facility orders. Rather than grouping only by facility (one dimension) or by product type, the invention adds the temporal/sequential dimension by extracting and grouping products based on their facility order patterns. This dimensional change allows preservation of production condition information while maintaining organizational structure.
2Loss of information
If a chart is created for each product in high-mix low-volume production, then the complete production information is captured, but the number of charts becomes massive making it difficult to monitor
Solution Approach 1:
The patent merges multiple product charts into a smaller number of consolidated charts by grouping products that share the same sequential relation patterns. Instead of creating separate charts for each individual product, the invention combines products with similar facility order sequences into the same chart, significantly reducing the total number of charts while preserving the essential production condition information through the sequential relation structure.
Solution Approach 2:
The patent creates universal charts that can display multiple products simultaneously, rather than product-specific charts. Each consolidated chart serves multiple functions: it displays the sequential relation pattern, shows production timing for multiple products, and enables comparison across different products. This multi-functionality reduces the number of charts needed while maintaining comprehensive monitoring capability.
3Productivity
If existing grouping methods are used without considering facility order, then the number of charts is reduced, but the visibility of processing order is lost
Solution Approach 1:
The patent applies local quality by making each chart specialized for displaying a specific sequential relation pattern. Rather than creating a generic chart that tries to display all products uniformly, the invention creates specialized charts where each chart's structure and content are optimized for its specific sequential relation type. This allows the chart to preserve the sequential information relevant to that particular pattern while maintaining clarity.
Solution Approach 2:
The patent uses visual differentiation (analogous to color changes) by displaying different sequential relation patterns in separate, distinguishable charts. Each chart can be identified by its specific sequential relation characteristics, allowing users to quickly distinguish between different processing orders. This visual organization preserves sequential information while maintaining monitoring efficiency through clear visual separation of different patterns.
Data Source
AI summary
A grouping unit, with the use of facility order priority information and facility order rule information, determines a group to which facility orders belong, stores the group in grouping information, performs grouping of facility orders, which do not include a sequential relation in a reverse direction among facility orders, into the same group, performs grouping of facility orders, which include a sequential relation in a reverse direction among facility orders, into a different group, integrates the facility orders grouped in the same group, and sets the integrate facility order as a display facility order of the group.