Yan Liu (Committee Member), Pratik Parikh (Advisor), Xinhui Zhang (Committee Member)
Master of Science in Engineering (MSEgr)
During the current economic times, companies are trying to reduce costs by incorporating new strategies into their business plan. Supply chain, in particular the distribution network is one area where an improvement can bring in a healthy return on investment to a company. Drop-shipping is a distribution strategy whereby customer orders are fulfilled by directly delivering products from manufacturer's facility, instead of storing these products at the warehouse. Drop-shipping helps in reducing inventory and material handling costs at the warehouse, but may increase transportation costs due to frequent shipments. This research was motivated by the current operations at a promotional products distributor in the Midwest US. This distributor wanted to decide which products to drop-ship versus stock in the warehouse. We develop a mixed integer programming (MIP) model to categorize the products as 'to be drop-shipped' or 'kept in warehouse' with the objective of minimizing the total distribution cost. This single-period MIP model assumes deterministic demand, all-unit transportation LTL and parcel rates, and warehouse space. To solve larger problem instances, a Ruin and Recreate (RR) based heuristic is proposed. Numerical results indicate that a savings in warehouse space ranging between 28-53% and an additional cost savings of up to 5.2%. A case study involving realistic data obtained from the distributor is presented and avenues for future research in this area are discussed.
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
Copyright 2011, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.