Touchscreen Job-Card Tracking for Body-Shop Process Timing
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Solution Overview
Problem
Current body shop management systems, such as magnetic boards, lack the ability to track timing information and attribute correlations related to job transitions, which hinders efficient job management and revenue optimization.
Innovation Solution
A computing system with a touch-screen display is implemented to manage job cards, allowing drag-and-drop transitions between processing steps, recording timestamps, and using this data to establish trend information for predicting processing durations and optimizing job handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a magnetic board system is used to manage body-shop jobs, then job status visualization is improved, but timing tracking capability deteriorates
Solution Approach 1:
The patent creates a digital copy of the magnetic board system using a touch-screen display. The graphical user interface replicates the visual job status tracking functionality while adding automated timestamp capture capabilities that record when jobs enter and exit each processing step. This digital copy preserves the ease of visual management while eliminating the information loss of timing data.
Solution Approach 2:
The patent replaces the mechanical magnetic board system with an electronic touch-screen-based system. The manual manipulation of physical cards is substituted with digital drag-and-drop operations, and the system automatically records timing information through software mechanisms rather than requiring manual note-taking. This substitution maintains visual tracking ease while capturing timing data systematically.
2Device complexity
If manual job tracking is used, then system complexity is reduced, but productivity optimization deteriorates
Solution Approach 1:
The patent implements automated feedback mechanisms where the system continuously monitors job progression through processing steps and compares actual timing against historical trend data. When deviations are detected, the system provides feedback to managers through alerts or recommendations for process adjustments. This automated feedback loop enables productivity optimization without requiring complex manual tracking systems.
Solution Approach 2:
The patent transforms static job status information into dynamic parameters by automatically capturing timestamps, calculating processing durations, and establishing trend data. The system monitors multiple parameters simultaneously (job status, timing, duration, trends) and uses these changing parameters to identify optimization opportunities. This parameter-based approach enhances productivity while keeping the interface relatively simple.
3Loss of information
If detailed job attribute tracking is implemented, then revenue optimization potential is improved, but information processing complexity deteriorates
Solution Approach 1:
The patent performs preliminary data organization by automatically capturing and storing job attribute information as jobs progress through processing steps. Historical trend data is pre-calculated and stored, ready for analysis. When optimization opportunities arise, the system can quickly retrieve relevant pre-organized data without requiring complex real-time processing. This preliminary organization of information reduces the complexity of subsequent analysis while enabling comprehensive revenue optimization.
Data Source
AI summary
A method and system to help control body-shop processing of vehicles, based on timing of interaction with a touch-screen display. In an example implementation, a body shop will be equipped with a computing system including a touch-screen display, with the computing system being configured to manage presentation on the display of graphical representations of job-cards for individual body-shop jobs, such as individual vehicles in for repair. With such an arrangement, body shop personnel could drag and drop job cards from one section to another to indicate transitions of jobs between body-shop processing steps. The computing system will then advantageously make use of data regarding the timing of those drag-and-drop operations as a basis to control body-shop processing, such as be predicting a processing duration of a job currently in process and taking action to modify processing of the job based on the predicted duration for instance.