Dispatch Vehicle Maintenance Scheduling Around Predicted Demand
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Solution Overview
Problem
Existing dispatch services face business opportunity loss due to vehicle inspections or repairs, as it is difficult to minimize downtime after the inspection or repair.
Innovation Solution
An information processing device and method that predict demand for dispatch services and schedule vehicle inspections or repairs at nearby shops to align with demand peaks, ensuring the vehicle is ready to resume service at the demand location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle inspection or repair is performed at a shop, then the vehicle can be maintained and repaired, but the vehicle becomes unavailable for dispatch service during the inspection or repair period
Solution Approach 1:
The system performs preliminary scheduling of inspections and repairs by predicting future demand patterns and arranging maintenance activities in advance. The scheduling unit creates maintenance schedules that proactively plan vehicle unavailability during periods of predicted low demand, rather than reacting to actual demand shortfalls after they occur.
Solution Approach 2:
The system dynamically adjusts maintenance schedules based on real-time and predicted demand information. The scheduling unit continuously updates maintenance plans according to changing demand patterns, allowing the system to adapt maintenance timing to optimize both vehicle availability and maintenance quality.
2Device complexity
If vehicle inspection or repair is scheduled without considering demand prediction, then scheduling is simple, but business opportunity loss occurs due to vehicle unavailability during high-demand periods
Solution Approach 1:
The system implements a feedback mechanism where demand prediction results are fed back into the scheduling process. The scheduling unit receives demand information, analyzes it, and adjusts maintenance schedules accordingly, creating a closed-loop system that continuously improves scheduling decisions based on actual and predicted demand patterns.
Solution Approach 2:
The system performs preliminary demand prediction and schedule creation in advance, allowing the scheduling unit to plan maintenance activities during periods of predicted low demand before those periods actually occur, thereby preventing business opportunity loss.
3Adaptability or versatility
If multiple vehicles are managed for dispatch service, then service coverage is improved, but coordinating inspection and repair schedules becomes more complex
Solution Approach 1:
The scheduling unit performs multiple functions simultaneously: it predicts demand, creates individual maintenance schedules for each vehicle, coordinates shop assignments, and optimizes overall fleet availability. This multi-functional approach consolidates what would otherwise be separate complex processes into a unified scheduling system.
Solution Approach 2:
The system merges demand prediction, schedule creation, and shop coordination into a single integrated scheduling process. By combining these functions, the system reduces the overall complexity of managing multiple vehicles while maintaining comprehensive service coverage.
Data Source
AI summary
An information processing device includes a control unit that executes: acquiring a first place where a demand for a dispatch service is predicted to be generated; and creating a first schedule of inspection or repair of a first vehicle that is used for the dispatch service, such that the inspection or the repair of the first vehicle is performed at a first shop and then the first vehicle arrives at the first place on a date and hour when the demand for the dispatch service is predicted to be generated, the first shop being a shop that is around the first place and where the inspection or the repair of the first vehicle is capable of being performed.