Title of dissertation: HEURISTICS AND PERFORMANCE METAMODELS FOR THE DYNAMIC DIAL-A-RIDE PROBLEM Ying Luo, Doctor of Philosophy, 2006 Directed by: Professor Paul M. Schonfeld Department of Civil and Environmental Engineering Explicit performance models of a transit system are often very useful in facilitating system design, optimization, alternative comparison, and gaining insights into the sys...

In this paper, we propose a study of the decision horizon duration for rolling stock mission assignment and maintenance planning in prognostics health management (PHM) context. The aim is to determine best that allows con- struction suitable schedule assigns railway vehicles missions integrates required operations accord- ing current future vehicles. A genetic algorithm used minimize overall co...

Scheduling product batches in pipelines is a very complex task with many constraints to be considered. Several papers have been published on the ubject during the last decade. Most of them are based on large-size MILP discrete time scheduling models whose computational efficiency greatly iminishes for rather long time horizons. Recently, an MILP continuous problem representation in both time an...

The utilization of energy storage system (ESS) is an effective method for dealing with the randomness and variability wind power. Therefore, improving coordination between ESS power a direction worthy research. This study develops two-layer stochastic model predictive control (SMPC) smoothing on different time-scales. proposed optimization framework smooths by adjusting charge discharge hybrid ...

This paper develops a framework that models and optimizes the operations of complex on-orbit servicing infrastructures involving one or more servicers orbital depots to provide multiple types services fleet geostationary satellites. The proposed method extends state-of-the-art space logistics technique by addressing unique challenges in applications integrates it with Rolling Horizon decision-m...

We study a new variant of the classical lot sizing problem with uncertain demand where neither planning horizon nor demands are known exactly. This situation arises in practice when customer arriving over time confirmed rather lately during transportation process. In terms planning, this setting necessitates rolling procedure overall multistage is dissolved into series coupled snapshot problems...