Process Improvement
For technology-driven process improvement, Princeton is a recognized trailblazer. We build simulation and optimization tools to evaluate policy changes and what-if scenarios at Rail facilities. We help executives transform planning, capacity, movement, and execution, and implement new-generation operational processes and requirements.
Case Study
Rail Process Improvement: Six Sigma Optimization for Rail Operations Across the Rail Network
Princeton modernized rail operations for TTX, North America’s largest railcar pooling company, with the Unified Fleet Distribution (UFD) platform. This automated, Six Sigma–guided system gives real-time visibility into every railcar, streamlines planning, and boosts efficiency.
The result: $35 million in annual savings, fewer delays, higher productivity, and stronger capacity to meet future rail industry demand.
Case Study
Process Improvement: User Journey Design
Rail executives trust Princeton to bring clarity to how people and systems work together across the rail network. We partner with train operating companies, freight users, and transport authorities to understand today’s real user journeys—then design the next generation that will shape the future of Britain’s railway.
Our streamlined Design-Think approach looks beyond just the passenger experience. By viewing each journey from the system’s perspective, we connect every element—whether it’s infrastructure, safety, passenger needs, operational challenges, or climate resilience—into a complete, whole-industry view.
Combining new technology, smarter processes, and targeted training, we help staff make changes that truly deliver results. The outcome? Smoother operations, fewer delays, and better service for both passengers and freight customers. Every project is built around control period priorities, ensuring measurable efficiency gains and giving the railway industry the capability it needs to succeed over the next five years and beyond.
Case Study
Process Improvement: Intermodal Operations
Princeton partnered with a Class 1 railroad to deliver a rail process improvement programme that transformed intermodal rail operations across the rail network. Using new technology and Six Sigma principles, we implemented a next-generation decision support tool to improve efficiency, empower staff, and optimise resources.
The system automates equipment assignment, optimises train loading, and supports advanced planning—delivering measurable benefits for freight users, customers, and the whole industry. Since 2018, it has planned 100% of outbound intermodal trains, cutting delays, boosting productivity, and supporting future infrastructure and development objectives for the next five years.
Case Study
Process Improvement: Airline Jet and Crew Scheduling
An international airline partnered with Princeton to tackle one of the most complex challenges in the transport industry—coordinating jet schedules and crew assignments across a vast global network. The goal was clear: improve efficiency, reduce operating costs, and deliver measurable business benefits.
We designed, developed, and implemented a multi-phase programme using new technology, advanced optimization techniques, and process improvement principles inspired by Six Sigma. This end-to-end solution transformed planning operations, enabling the airline to identify efficiencies, better manage resources, and meet critical safety and delivery objectives.
The results were dramatic. A 10% reduction in empty miles led to annual savings of more than $150 million in jet fuel. By streamlining processes and empowering staff with high-performance tools, the airline moved from unprofitable to profitable—demonstrating how targeted technology development can unlock productivity, reduce waste, and position an entire industry segment for future success.