Agricultural Economics Department

 

First Advisor

Jeffrey R. Stokes

Second Advisor

Azzeddine Azzam

Third Advisor

Jay Parsons

Date of this Version

Spring 5-2021

Citation

Adams, D. K. 2021 "Corn Co-product Logistics – an Application of Linear Programming" M.S. Thesis. University of Nebraska - Lincoln

Comments

A Thesis Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Agricultural Economics Under the Supervision of Professor Jeffrey R. Stokes. Lincoln, Nebraska: May 20210

Copyright (c) 2021 Dmitry Kalashnikov Adams

Abstract

The purpose of this thesis is not to explore new ways to apply or to study the general field of linear programming. Rather the emphasis is on applying a particular type of linear programming to a specific problem. In this thesis the classic case of Linear Programing - the transportation problem – is used to optimize corn co-product logistics between six ethanol producing facilities. At the core, the problem of corn germ logistics lies in transporting products from areas of excess supply to areas with excess demand. The challenge of optimizing corn germ logistics lies in managing transportation between producing facilities that lack processing capacity and must ship corn germ to a facility with excess capacity by utilizing either rail or truck method of transportation. The purpose is the application of economic modeling and interpretation of the solution to aid in managing a real world transportation network. An empirical application of the transportation problem is presented along with sensitivity analysis interpretation that illustrates the usefulness of the model in business decision making. Results of the model reveal ways to optimize transportation network and save on transportation costs. The concluding section presents an outlook for future expansion of the model and emphasizes the real power of the model lies in the ability to quickly adjust the recommended shipping logistics if conditions change.

Advisor: Jeffrey R. Stokes

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