The goal of this paper is to develop some computational experience and test the practical relevance of the theory of condition numbers C(d) for linear optimization, as applied to problem instances that one might encounter in practice. We used the NETLIB suite of linear optimization problems as a...

This paper presents a model and an analysis of the cost-flexibility tradeoffs involved in investing in product-flexible manufacturing capacity. Flexible capacity provides a firm with the ability to respond to a wide variety of future demand outcomes, but at the expense of the increased cost of...

In the event of a catastrophic bio-terror attack, major urban centers need to efficiently distribute large amounts of medicine to the population. In this paper, we consider a facility location problem to determine the points in a large city where medicine should be handed out to the population....

Although ridesharing can provide a wealth of benefits, such as reduced travel costs, congestion, and consequently less pollution, there are a number of challenges that have restricted its widespread adoption. In fact, even at a time when improving communication systems provide real-time detailed...

To route and schedule trains over a large complex network can be computationally intensive. One way to reduce complexity could be to "aggregate" suitable sections of a network. In this paper, we present a simulation-based technique to generate delay estimates over track segments as a function of...

In this paper we study the impact on productivity of specific operating practices currently used by demand responsive transit (DRT) providers. We investigate the effect of using a zoning vs. a no-zoning strategy and time-window settings on performance measures such as total trip miles, deadhead...