Date of Award

2018

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Agribusiness and Applied Economics

Department

Agribusiness and Applied Economics

College

Agriculture, Food Systems and Natural Resources

Faculty Advisor

Wilson, William W.

Description

Commodity trading at both domestic and international levels involves many sources of supply chain risk and uncertainty. Risk management techniques are utilized by industry participants; however, there are unknown risks that can arise throughout the supply chain making effective risk management a difficult task. This study aims to address supply chain risk in soybean exports. A framework is created for a competitive bidding environment in which firms participate in an international import tender. Monte Carlo simulation is used to represent stochastic variables and derive an optimal bid under various scenarios. Sensitivity analysis is then conducted to measure the impact of key input variables on the output values. An alternative specification for risk management is also implemented into the framework. This study provides insight into supply chain uncertainty and incorporates that into a competitive bidding framework for optimal bid derivation and effective risk management.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/29876

Download

Share

COinS