Degree Name
MS (Master of Science)
Program
Mathematical Sciences
Date of Award
8-2018
Committee Chair or Co-Chairs
Michele Joyner
Committee Members
Jeff Knisley, Robert Price
Abstract
In business-to-business logistical sourcing events, companies regularly use a bidding process known as tendering in the procurement of transportation services from third-party providers. Usually in the form of an auction involving a single buyer and one or more sellers, the buyer must make decisions regarding with which suppliers to partner and how to distribute the transportation lanes and volume among its suppliers; this is equivalent to solving the optimization problem commonly referred to as the Winner Determination Problem. In order to take into account the complexities inherent to the procurement problem, such as considering a supplier’s network, economies of scope, and the inclusion of business rules and preferences on the behalf of the buyer, we present the development of a mixed-integer linear program to model the reverse combinatorial auction for logistical tenders.
Document Type
Thesis - unrestricted
Recommended Citation
Kiser, Jennifer, "Developing Optimization Techniques for Logistical Tendering Using Reverse Combinatorial Auctions" (2018). Electronic Theses and Dissertations. Paper 3460. https://dc.etsu.edu/etd/3460
Copyright
Copyright by the authors.