Production Efficiency Charting for Cycle Time Variation Analysis
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Solution Overview
Problem
Simple recognition of operational availability and cycle time from a macro viewpoint is insufficient to improve production efficiency, as it does not analyze the causes of efficiency decreases, necessitating a system to visually represent variations in these metrics for effective improvement.
Innovation Solution
A production efficiency improvement support system that calculates operational availability and cycle time based on detection results from production equipment sensors, displaying them in a chart format to visually represent variations, allowing for accurate analysis and countermeasure identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operational availability and cycle time are recognized from a macro viewpoint (e.g., unit of one day), then the recognition is simple, but the production efficiency cannot be improved because the causes of efficiency decreases are not analyzed
Solution Approach 1:
The patent segments the macro operational availability and cycle time data into multiple time zones (e.g., hourly or shift-based segments). This segmentation allows the system to maintain simplicity in data collection while enabling detailed analysis of efficiency variations across different time periods, thereby identifying causal factors that would be obscured in aggregated macro data.
Solution Approach 2:
The patent introduces a time zone dimension to the traditional macro-level operational availability and cycle time metrics. By displaying these metrics across multiple time zones in a chart format, the system transforms single-value macro recognition into multi-dimensional temporal analysis, enabling identification of when efficiency decreases occur without complicating the fundamental measurement approach.
2Ease of operation
If operational availability and cycle time are displayed as simple values, then the display is simple, but variations in these metrics are not visually recognizable
Solution Approach 1:
The patent transforms single-value displays into two-dimensional chart visualizations where operational availability and cycle time are plotted across multiple time zones. This dimensional transformation preserves data simplicity while enabling visual recognition of variations, trends, and anomalies that would be imperceptible in simple value displays.
Solution Approach 2:
The patent employs color-coded indicators in the chart display to highlight variations in operational availability and cycle time across different time zones. Color changes provide intuitive visual cues about performance variations, maintaining display simplicity while preventing information loss about metric fluctuations.
3Productivity
If detailed analysis of operational availability and cycle time variations is performed, then production efficiency improvement is enabled, but the system complexity increases
Solution Approach 1:
The patent segments detailed analysis into standardized time zone units with consistent measurement and display protocols. This segmentation enables comprehensive temporal analysis without requiring complex custom analysis procedures for each time period, thereby improving production efficiency while controlling system complexity through standardized approaches.
Solution Approach 2:
The patent creates a universal chart display system that handles multiple metrics (operational availability, cycle time) across multiple time zones using a single integrated interface. This multi-functional approach enables detailed analysis without requiring separate complex systems for each metric or time period, reducing overall system complexity while maintaining analytical depth.
Data Source
AI summary
A production efficiency improvement support system calculates an operational availability and a cycle time, based on results of detection of an operating status of production equipment, and displays a chart. An axis of the cycle time is set to be shorter rightward. The results of detection are displayed in such a mode that variations are recognizable, like points pp1 and points pp2. The points pp1 and the points pp2 have different countermeasures applied for improvement of the production efficiency and are accordingly displayed in different display modes. A point p1 and a point p2 indicating values of an actual cycle time and an actual operational availability are also displayed as representative values of the results of detection. Displaying these indexes in the form of a chart facilitates visual recognition of how to improve the operational availability and the cycle time and effectively supports improvement of the production efficiency.