Vehicle Service Pace Indicator System
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Solution Overview
Problem
Current vehicle repair processes lack real-time monitoring and feedback mechanisms to help technicians complete service procedures within target completion times, leading to inefficiencies and potential delays.
Innovation Solution
A computing device system that receives a vehicle service procedure, determines expected completion times, and provides a pace indicator on a display interface, allowing technicians to track their progress relative to the expected pace through input signals from various sources, including verbal, visual, and sensor data, enabling timely adjustments and improved workflow management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time monitoring and feedback mechanisms are implemented, then productivity and schedule adherence improve, but device complexity increases
Solution Approach 1:
The system continuously monitors technician progress through input signals (manual inputs, sensor data, verbal commands) and provides real-time pace indicators showing whether the technician is ahead of, on, or behind schedule. This feedback loop enables dynamic adjustment of workflow to maintain productivity targets.
Solution Approach 2:
A computing device acts as an intermediary between the service procedure steps and the technician, receiving various input signals (manual button presses, sensor data from tools, verbal commands) and translating them into meaningful pace indicators. This intermediary layer integrates multiple data sources without requiring direct complex connections between all components.
2Measurement precision
If multiple input signal sources are integrated, then measurement precision of progress tracking improves, but device complexity increases
Solution Approach 1:
The computing device is designed to accept multiple types of input signals through a unified interface architecture. It can process manual button presses, sensor data from diagnostic tools, and verbal commands, treating diverse input sources through common processing logic to determine pace indicators.
Solution Approach 2:
The system automatically processes and interprets input signals without requiring manual intervention for each signal type. The computing device autonomously determines whether received signals indicate completion of service steps, calculating pace indicators automatically based on the accumulated signal data.
Data Source
AI summary
An example method includes receiving a first service procedure for servicing a vehicle, determining an expected pace of performance of the first service procedure, receiving at least one input signal during performance of the first service procedure, determining, based on the at least one input signal, a current pace of performance of the first service procedure, and providing for display of a first pace indicator on a display interface of the computing device, where the first pace indicator is representative of the current pace of performance of the first service procedure relative to the expected pace of performance of the first service procedure.