The rapid growth of urbanisation and e-commerce has increased the number home deliveries that need to be made in retail operations. Consequently, there is also an increase unexpected incidents, such as adverse traffic, unavailability parking space, vehicle breakdowns. These disruptions result delays, higher costs, lower service levels last-mile delivery operation. Motivated by free, innovative,...

Our project analyzes the United States domestic airport network. We attempt to determine which airports are most vital in maintaining the underlying infrastructure for all domestic flights within the United States. To perform our analysis, we use data from the first quarter of 2010 and use several methods and algorithms that are frequently used in network science. Using these statistics, we ide...

This paper studies a strategic supply chain management problem to design robust networks that perform well under both normal conditions and when disruptions strike. We present a mixed-integer programming model whose objective is to minimize the nominal cost (the cost when no disruptions occur) while reducing the disruption risk using the p-robustness criterion (which bounds the cost in disrupti...

Modeling the complex decision problems faced in the coordination of disaster response as a scheduling problem to be solved using an optimization algorithm has the potential to deliver efficient and effective support to decision makers. However, much of the utility of such a model lies in its ability to accurately predict the outcome of any proposed solution. The stochastic nature of the disaste...