Massachusetts Institute of Technology
Express shipment pick-up and delivery : evaluating airline recovery options
Abstract
dc:description.abstractIrregular operations in the Express Shipment Service Delivery industry require real time solutions that can be implemented to determine routings for aircraft and time-sensitive commodities. During inclement weather, crew unavailability, and mechanical failures, operations personnel use various approaches to recover from disruptions, including rescheduling or canceling flight legs, diverting aircraft and commodities, or missing service all together. We present an optimization approach that can capture and evaluate the effects of different operating policies. Specifically, we compare and contrast three different strategies, namely: 1) minimizing schedule delay, 2) minimizing the number of service failures, and 3) minimizing the combined cost of operations and service failures. We provide proof of concept by implementing our optimization models and evaluating them using several representative scenarios and conducting computational experiments. The solutions, which are highly dependent on user-defined parameters, represent tradeoffs between costs of operations and service failures.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2005
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Cheung, Jennifer C. (Jennifer Ching Wah)
- Advisor dc:contributor.advisor
-
- Cynthia Barnhart.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/31157
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/31157