Working Robot Operating System Optimizing Welding Tip Maintenance
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Solution Overview
Problem
In manufacturing environments with multiple working robots, managing the timing of cutting work or replacement work on welding tips is challenging due to variations in tip size, material, and target vehicle, leading to inefficiencies such as waste of welding tips and delays in the overall cycle time.
Innovation Solution
A working robot operating system and method that includes a control device capable of determining an existing performance schedule for repair processes based on production information and working part specifications, and optimizing this schedule to prevent waste and delays by ensuring timely repair and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cutting work or replacement work is performed on multiple working robots simultaneously, then management convenience is improved, but welding tips are wasted and productivity decreases
Solution Approach 1:
The control device determines an optimal performance schedule in advance that specifies when each working robot should perform cutting work or replacement work. This schedule is created before the actual maintenance operations, allowing the system to prepare and coordinate maintenance activities efficiently without causing delays or wasting welding tips.
Solution Approach 2:
The control device monitors the performance of each working robot and uses this information to adjust and optimize the maintenance schedule. By continuously feedback-based optimization, the system ensures that cutting work or replacement work is performed at the most appropriate times to maintain productivity while managing convenience.
2Loss of substance
If cutting work or replacement work is performed individually on each working robot, then welding tips are not wasted, but the overall cycle time is delayed and productivity is reduced
Solution Approach 1:
The control device creates an optimal performance schedule in advance that coordinates maintenance activities across multiple working robots. This schedule determines the best timing for cutting work or replacement work on each robot, ensuring that welding tips are not wasted while minimizing delays to the overall production cycle.
Solution Approach 2:
The system dynamically adjusts the maintenance schedule based on the actual performance and status of each working robot. The control device can flexibly optimize when each robot should undergo cutting work or replacement work, allowing the system to adapt to varying production needs and prevent both welding tip waste and unnecessary delays.
3Reliability
If cutting work or replacement work is performed frequently to maintain constant welding quality, then welding quality is maintained, but productivity decreases due to frequent interruptions
Solution Approach 1:
The control device determines an optimal performance schedule that predicts when cutting work or replacement work is most needed based on welding tip wear patterns and production requirements. By planning maintenance activities in advance rather than reacting to wear, the system maintains welding quality while minimizing interruptions to production.
Solution Approach 2:
The system aims to maintain continuous productive operation by scheduling cutting work or replacement work at optimal moments that minimize disruption to welding operations. The control device coordinates maintenance activities to occur when they are most needed but least disruptive, ensuring welding quality is maintained while productivity is preserved.
Data Source
AI summary
A working robot operating system and method are provided. The system includes a plurality of working robots each configured to perform a work process involving deterioration of a working part and a repair process of repairing the deterioration of the working part. The system also includes a control device configured to determine an existing performance schedule in which the repair process of each of the plurality of working robots is performed based on production information of a product and specification information of a working part for each working robot. The control device is also configured to determine an optimal performance schedule of the repair process for each of the plurality of working robots based on the determined existing performance schedule, and to control the plurality of working robots so that the repair process is performed by following the determined optimal performance schedule.