Optimize train crew allocation
Plan train crew for train schedules using industrial mathematics. Ensure the right train crew are at the right place, at the right time.
Optimize your crew plan to only use required staff
- Ensure crew members are assigned to their preferred on-duty and off-duty locations.
- Reduce the amount of time crew members are idle.
- Minimize taxi and crew haul usage.
- Reduce overtime, and unnecessary home and away costs.
Rapidly run scenarios to assess crew efficiency
Assess the crew efficiency impacts of different:
- Crew deployment methods.
- Workforce sizes.
- Crew facility placement.
- Crew qualification mix.
- Overtime and home & away.
- Hours of service regulation.
Model large, complex networks
- Model the world's largest rail supply chains.
- Develop and maintain a digital twin of your operations.
- Model multiple depots, driver levels, producers, load points, track networks and terminals.
Plan solutions that are fully automatic, manual, or hybrid
- Feature rich drag-and-drop Gantt chart for your planning crew.
- Automated complex bargaining unit agreement rule modeling.
- Optimize around a partially manual plan.
Side-by-side scenario comparison to run what-if analyses
- Analytics dashboard to summarize and present KPIs.
- Sandboxed scenario planning to run comparisons between scenarios.
- Centralized master data app for running optimization with one or more defined master data sets.
Planning for operational, tactical, and strategic timeframes
- Operational: Allocate rostered-on scheduled crew to the next day's scheduled services.
- Tactical: Evaluate the crewing implications of next weeks planned rail operations.
- Strategic: Investigate changes to the unit bargaining agreement, depot locations and roster structure.
Improving bulk rail efficiencies
Efficiently allocate crew to depots and undertake strategic studies
RACE Crew automates crew allocation for a large railroad, ensuring legal compliance, adherence to bargaining unit agreements, optimizing key performance indicators, and enabling crew planners to model various operational scenarios for improved decision-making and crew utilization.
Maximizing crew utilization using optimization in rail haulage operations
Deswik's RACE Crew module, powered by Gurobi, optimized crew schedules for an Australian railroad, reducing off-duty drivers by 50%, decreasing daily driver requirements by 8%, and improving operational efficiency and labor costs while ensuring legally compliant schedules.
Optimizing crew schedules to improve operational efficiency
In a joint case study with Gurobi, read how RACE can quickly generate optimal crew allocation plans that save customers time and money.
See our software in action
Unlock the full potential of our software by seeing it in action. Let us guide you through our tools and demonstrate how they can transform your mine planning processes for improved productivity.
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RACE as a rail ecosystem
RACE has three integrated modules that can be used individually or as a suite, and includes APIs for compatibility with in-house network operation ecosystems.
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Let us help you elevate your bulk rail processes.