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. We help executives transform planning, capacity, movement, and execution, and implement new-generation operational processes and requirements.
Case Study
Process Improvement: E-commerce Order Fulfillment
At an e-commerce giant, customer orders are assigned throughout the day to fulfillment centers and third parties across the United States.
Princeton helped develop, test and rollout an optimization solution that minimizes shipment costs while observing limits on inventory, reducing split orders, and balancing workload across the fulfillment centers.
Case Study
Process Improvement: Airline Jet and Crew Scheduling
An international airline sought to transform highly complex flight scheduling and crewing decisions through state-of-the-art systems.
Princeton designed, developed and implemented a multiphase project to dramatically improve the planning process with high-end custom optimization.
The airline moved from unprofitable to profitable due mainly to a 10% reduction in empty miles that saved in excess of $150 million dollars annually in jet fuel.
Case Study
Process Improvement: Intermodal Operations
Princeton improved a Class 1 railroad’s intermodal day-of-operations processes.
Princeton built an industry-leading, next-generation decision support tool to optimally assign intermodal equipment to railcars that provided automated train loading optimization, enhanced planning capabilities and a customizable user interface.
Since production launch in 2018, the tool has planned 100% of outbound Intermodal trains, with the majority of the planning process automated through the use of the optimizer.
Case Study
Process Improvement: Job Assignment & Machine Scheduling
Leaders of one of the largest commercial printing companies sought performance improvement through AI innovation. Princeton identified a prime optimization opportunity with the complex binding lines that use high-value machines and staff.
Princeton built a custom scheduling solution that reduced stoppages and changeovers by 10 percent. Planning time was cut from hours to minutes. The improved efficiency increased printing capacity without additional capital investments. The total time to payback for the optimization project was achieved in weeks.
Case Study
Process Improvement: Linehaul Optimization
At a Less Than Truckload (LTL) company, linehaul is the backbone and the largest cost of a Less Than Truckload (LTL) network.
To improve efficiency through custom optimization-powered operational software systems, the company’s leaders have relied on Princeton for modeling and to incrementally improve the linehaul plan and minimize handles, improve service and reduce costs.
Case Study
Process Improvement: Finance Back Office
In a critical back-office operation, a broker-dealer firm must segregate a federally regulated amount of cash and securities in specially protected accounts. There are complex adjustments related to derivatives and lending arrangements, as well as risk levels for classes of assets, which further complicate the computation.
Princeton created an optimization solution that is used nightly to reallocate securities and cash between the securities depository and the clients to meet the stakeholders’ needs. The firm now has a mechanism for allocation that is automatic and transparent, and meets the needs of the regulatory environment.