Vehicle Operation Management System for Reducing Emergent Work
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Solution Overview
Problem
Current railroad travel planning systems fail to efficiently manage changes in train schedules and vehicle operations, leading to increased emergent work and out-of-service driving due to inadequate consideration of vehicle inspection cycles, work priorities, and yard work plans, especially when schedule or operation plans are altered.
Innovation Solution
A system that reconfigures railroad travel plans by prioritizing vehicles with the lowest work importance and urgency, adjusts vehicle operation plans to ensure correct arrival sections, and modifies yard work plans within standard limitations, thereby reducing emergent work and out-of-service driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle assignment is made only after all inspections and work are completed, then work quality is ensured, but productivity decreases due to inability to make assignments until inspection ends
Solution Approach 1:
The system performs preliminary actions by identifying vehicles that can complete inspections before the appointed day and pre-assigning them to operations. This allows assignments to be made in advance rather than waiting for all inspections to complete, thereby improving productivity while maintaining work quality through selective early assignment.
Solution Approach 2:
The system dynamically adjusts assignment strategies based on inspection status and work priority. It transitions from a static rule (wait for all inspections) to a dynamic approach where assignments are made based on real-time inspection progress and operational needs, allowing flexible optimization of both quality and productivity.
2Adaptability or versatility
If vehicles are assigned without considering expected arrival sections, then assignment flexibility is improved, but loss of time increases due to out-of-service driving
Solution Approach 1:
The system incorporates feedback by continuously monitoring expected arrival sections of vehicles and using this information to guide assignment decisions. Assignments are made with consideration of where vehicles will arrive, creating a feedback loop that reduces unnecessary out-of-service driving while maintaining assignment flexibility through online reassignment capabilities.
Solution Approach 2:
The system changes the parameter of vehicle assignment by incorporating expected arrival section information as a key criterion. This parameter change transforms the assignment process from purely flexibility-driven to one that balances flexibility with time efficiency by considering destination locations.
3Device complexity
If yard work plans are not integrated with operation plans, then system simplicity is maintained, but loss of information occurs regarding yard work priorities and deadlines
Solution Approach 1:
The system merges the yard work plan system with the vehicle operation management system, integrating previously separate functions into a unified online system. This combination allows real-time information sharing between yard work priorities and vehicle assignments, preventing information loss while maintaining manageable system complexity through integrated processing.
Solution Approach 2:
The integrated system performs multiple functions simultaneously - it manages vehicle assignments, monitors inspection status, tracks yard work priorities, and coordinates operations all through a single unified platform. This multi-functionality eliminates information silos while avoiding the complexity of multiple separate systems.
4Reliability
If vehicles with highest work priority are assigned first, then work importance is addressed, but loss of time increases when deadline urgency requires different prioritization
Solution Approach 1:
The system dynamically adjusts prioritization based on real-time conditions, transitioning from a static priority-based approach to a dynamic system that considers both work importance and deadline urgency. This allows the assignment strategy to adapt to changing conditions, optimizing the balance between addressing important work and meeting time-sensitive deadlines.
Solution Approach 2:
The system changes the prioritization parameter by incorporating both work priority and deadline urgency as variables in the assignment decision-making process. This parameter change allows flexible weighting of different factors based on current operational needs, enabling optimization of both importance fulfillment and deadline compliance.
Data Source
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AI summary
When a schedule plan or an operation plan/vehicle operation plan have been changed, operations are assigned, starting with a vehicle with the lowest work priority (degree of work importance and degree of work urgency). Next, a final arrival section after the vehicle operation plan change is checked. The vehicle for which the final arrival section of vehicle operation plan post-change information and a planned expected arrival section are different from each other is extracted, the vehicle operation plan is changed for each extracted section so that arrival at the same section as the expected arrival section can be achieved. The processing permits reducing urgent work and out-of-service driving even in a case where the schedule plan has been changed on an appointed day.