Degree Name
MS (Master of Science)
Program
Mathematical Sciences
Date of Award
12-2025
Committee Chair or Co-Chairs
Jeff Knisley
Committee Members
Rodney Keaton, Robert Price
Abstract
The Newsvendor Problem is a fundamental model in Operation Research and Supply Chain Management used to determine the optimal order quantity under uncertain demand to minimize expected costs.
This research extends the classical Newsvendor problem to a multi--product setting, addressing the risk of asymmetric cost structures faced by a food truck. This thesis introduces expectile risk measures to quantify and manage uncertainty in demand, moving beyond traditional risk metrics. To evaluate the impact of expectile-based decision-making, we analyze three types of demand distributions--simple, symmetric, and skewed. For skewed distributions, we apply linear spline inverse interpolation to derive expectile values from given risk levels and vice versa.
By formulating and solving the Food Truck Problem, this research contributes to the advancement of supply chain optimization and offers practical insights for managing inventory in mobile and decentralized systems
Document Type
Thesis - unrestricted
Recommended Citation
Nuamah, Sekyiwaah, "The Food Truck: A Multi-product Newsvendor with Expectile Risk" (2025). Electronic Theses and Dissertations. Paper 4612. https://dc.etsu.edu/etd/4612
Copyright
Copyright by the authors.
