Quantifying the Benefits of a Collaborative Supply Chain Network using a Discrete-Time Vehicle Routing Model
Date of Graduation
Bachelor of Science in Industrial Engineering
The transportation industry contributed around one trillion dollars to the economy in 2016 accounting for 8.9% percent of the GDP. In 2017, it was responsible for 1.5 billion tons of CO2 emissions. With the American Trucking agency predicting a 35% growth in the trucking industry between 2016 and 2027, there are rising concerns about the impact the trucking industry will have on the economy and the environment. The trucking industry is also very inefficient with many trucks driving with empty loads or with less than full capacity loads. There is potential to save billions of dollars and cut back on millions of tons of CO2 emissions by improving the efficiency of the trucking industry. To accomplish this task, we will explore the existing ideas surrounding collaborative logistics. Collaborative logistics is the integration of planning, resource allocation and operational decisions between independent companies. This research will seek to quantify the benefits associated with introducing collaboration in a supply chain. To accomplish this, two optimization models will be developed to model a non-collaborative and a collaborative supply chain. Various cost and performance metrics will be collected to compare the operational efficiencies of both supply chains. The results produced from this research provides motivation for implementing collaboration within supply chains in order to save billions of dollars and cut back on millions of CO2 emissions.
collaborative supply chain, vehicle routing model, physical internet, logistics, supply chain planning
Walters, M. (2021). Quantifying the Benefits of a Collaborative Supply Chain Network using a Discrete-Time Vehicle Routing Model. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/78