The goal of this praxis is to create a modeling approach that can be used to evaluate and quantify the current efficiency and throughput at a transloading facility. The model will also be used to show the expected metric improvements and financial return of potential operational changes and capital investment scenarios that could be implemented, giving the facility’s management justification to approve these upgrades.

The case study presented will show how to capture and document the current processes within the loading facility, model the relationships between resources and constraints, find appropriate probability distributions to represent the service data, define the metrics and baselines by which to judge improvements, and use forecasting and economic modeling to find the NPV and IRR of potential capital investments given current tax structures. Using these results, solutions will be prioritized and presented as recommendations for improving the facility’s efficiency and throughput.

Degree Date

Spring 2022

Document Type


Degree Name



Operations Research and Engineering Management


Eli Olinick

Subject Area

Business and Management

Number of Pages




Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Available for download on Sunday, May 11, 2025