Dynamic Standard Man-Hour Update for Target Management
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Solution Overview
Problem
Existing target management systems face challenges in accurately managing activities such as shelf stocking due to significant differences between measured and standard values, leading to inefficiencies in determining when shelves need restocking.
Innovation Solution
A target management system that acquires actual man-hour values, calculates differences with preset standards, updates standards, and predicts future man-hour values based on datasets, creating operation plans to narrow these differences and improve management accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a preset standard man-hour is used to manage operations, then management simplicity is maintained, but the difference between actual and standard values widens significantly, making it difficult to appropriately manage activities
Solution Approach 1:
The system implements feedback by automatically updating the standard man-hour based on the difference between actual and standard values. When the difference exceeds a threshold, the standard is adjusted closer to the actual value, creating a closed-loop system that continuously improves accuracy while maintaining automated management
Solution Approach 2:
The standard man-hour is transformed from a static preset value to a dynamic value that automatically adjusts based on actual performance data. This allows the management system to adapt to changing conditions while maintaining operational simplicity through automated updates
2Measurement precision
If the standard man-hour is updated frequently to narrow the difference, then management accuracy improves, but system complexity increases
Solution Approach 1:
The system applies partial updating by only adjusting the standard man-hour when the difference between actual and standard values exceeds a predetermined threshold. This avoids excessive updates and maintains system simplicity while still improving accuracy when necessary
Solution Approach 2:
The management system performs self-service by automatically updating standards based on actual performance data without requiring manual intervention. This reduces operational complexity while maintaining high accuracy through automated threshold-based adjustments
Data Source
AI summary
A target management system includes: an acquirer that acquires, over a first period including time frames when operations are performed, an actual value of man-hour of each of the operations; and a processor that calculates a difference between the actual value of the man-hour of each of the operations for the first period and a preset standard man-hour and updates the standard man-hour to narrow the difference in a second period following the first period. The processor acquires, with respect to the same item of operation as the man-hour acquired in the first period, a predicted man-hour value for the second period based on a prediction dataset including period identification information, period attribute information, and quantity information. The processor creates an operation plan for the second period based on the standard man-hour updated, the predicted man-hour value, and personnel information about personnel who performs the operations in the second period.