Sewing Line Management Using Operator Skill and Condition Data
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Solution Overview
Problem
Current sewing management systems do not account for operator-related information such as sewing skill and physical condition, which limits improvements in sewing quality and production efficiency in sewing lines.
Innovation Solution
A sewing management system that includes a sewing device transmitting production management information, a terminal detecting physical condition information, and a management device estimating sewing skill and production capacity based on this data to optimize personnel assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If production management information is accumulated in recording medium for each sewing work, then productivity of production management is improved, but operator-related information including sewing skill and physical condition information is not collected
Solution Approach 1:
The patent combines production management information (sewing history data) with operator-related information (sewing skill level, physical condition) into a unified information storage system. The management device integrates data from both the recording medium (production data) and terminal device (operator data), merging previously separate information streams into a comprehensive dataset for holistic production management.
Solution Approach 2:
The management device is designed to handle multiple types of information simultaneously - it manages both production management information and operator-related information through a single system. This multi-functional approach allows the system to collect, store, and utilize diverse data types (sewing history, skill levels, physical conditions) without requiring separate specialized systems.
2Device complexity
If operator-related information is not included in production management information, then system complexity is reduced, but sewing quality and production efficiency cannot be improved
Solution Approach 1:
The system performs preliminary assessment of operator sewing skill levels and physical conditions before assigning sewing tasks. The management device evaluates operator capabilities in advance and uses this pre-assessed information to make informed personnel assignments, ensuring that the right operators are assigned to appropriate sewing work based on their demonstrated abilities and current physical state.
3Ease of operation
If traditional sewing management system is used, then ease of operation is maintained, but production efficiency in sewing line cannot be improved
Solution Approach 1:
The system continuously collects feedback on operator performance through sewing history data and physical condition monitoring, then uses this feedback to dynamically adjust personnel assignments and provide operational guidance. The management device analyzes accumulated data about operator capabilities and current states, feeding this information back into the assignment process to continuously improve production efficiency while maintaining ease of operation through automated decision-making.
Data Source
AI summary
The sewing management system includes a sewing machine that performs sewing on a sewing line, a management server that manages various information on the sewing line, and a wearable terminal that detects physical condition management information of an operator on the sewing line. The sewing machine transmits production management information, including identification information of the operator who perform sewing operations on the sewing line and operation information of the main unit of the device, to the management server. The management server estimates a sewing skill of the operator based on the production management information and estimates the production capacity of the operator based on the physical condition management information.