Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Please see currently inactive department below.

Major/Program

Industrial Engineering

First Advisor's Name

Martha A. Centeno

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Ronald Giachetti

Third Advisor's Name

Shih-Ming Lee

Date of Defense

12-22-2000

Abstract

Integer programming, simulation, and rules of thumb have been integrated to develop a simulation-based heuristic for short-term assignment of fleet in the car rental industry. It generates a plan for car movements, and a set of booking limits to produce high revenue for a given planning horizon.

Three different scenarios were used to validate the heuristic. The heuristic's mean revenue was significant higher than the historical ones, in all three scenarios. Time to run the heuristic for each experiment was within the time limits of three hours set for the decision making process even though it is not fully automated. These findings demonstrated that the heuristic provides better plans (plans that yield higher profit) for the dynamic allocation of fleet than the historical decision processes.

Another contribution of this effort is the integration of IP and rules of thumb to search for better performance under stochastic conditions.

Identifier

FI14032323

Comments

If you are the rightful copyright holder of this dissertation or thesis and wish to have it removed from the Open Access Collection, please submit a request to dcc@fiu.edu and include clear identification of the work, preferably with URL.

Download

Share

COinS
 

Rights Statement

Rights Statement

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).