A heuristic integrated design and planning framework for capacity expansion problems in transportation systems under uncertainties

A heuristic integrated design and planning framework for capacity expansion problems in transportation systems under uncertainties: Facility expansion strategy for air cargo at Amsterdam Airport Schiphol

van Straaten, J.C.

Verbraeck, A. (mentor)

Civil Engineering and Geosciences

Transport, Infrastructure and Logistics

2017-01-10

This research is conducted for the Master thesis project of the MSc. Transport Infrastructure and Logistics (TIL) at Delft University of Technology. The MSc. TIL is a programm of the faculties Civil Engineering, Mechanical Engineering, and Systems Engineering, Policy Analysis and Management. - Large-scale capacity expansion problems in transportation systems are characterized by a long and lasting impact on the economy, large capital investments (often in waves), negative effects on the environment, and are substantiality impacted by uncertainties. Solutions from literature rely on optimizing a single or two objectives and using demands scenarios to account for uncertainty to solve the problems. These solutions fail to incorporate the multi-objective goals and the full range of impacts of uncertainty over the working life into design, planning and decision-making. This research proposes a heuristic framework that in-corporates the multi-objectivity of the intended goals and the full range of uncertainty into an integrated design, planning and decisionmaking approach for transportation systems. Proving how Amsterdam Airport Schiphol (AAS) is able to increase mean performance and decrease variability of performance over time for new cargo facilities validates the framework.

http://resolver.tudelft.nl/uuid:266dc744-0efd-4115-9dee-564090dc1cf0

Student theses

master thesis

(c) 2016 van Straaten, J.C.