Mark A. Turnquist

TL;DR: In this article, a two-stage stochastic mixed integer program (SMIP) is proposed to determine the location and quantities of various types of emergency supplies to be pre-positioned under uncertainty about if, or where, a natural disaster will occur.

TL;DR: The review traces the evolution of models from single-criterion optimizations to multiobjective analyses, and highlights the emerging direction of dealing explicitly with distributions of outcomes, rather than simply optimizing expected values.

TL;DR: In this paper, the authors present a modeling approach that provides such an integrated view, and illustrates how it works in the context of a specific example involving the distribution of finished vehicles by an automotive manufacturer.

TL;DR: This paper presents a modeling approach that provides an integrated view of where distribution centers should be located, and illustrates how it works in the context of a specific example involving the distribution of finished vehicles by an automotive manufacturer.

TL;DR: In this article, a model is developed to evaluate the sensitivity of expected passenger wait time at transit stops to service frequency and schedule reliability, and the model represents an advance over previous models because it explicitly incorporates a passenger decision-making process, rather than assuming that passengers arrive at random instants in time.