Award Date
12-2010
Degree Type
Thesis
Degree Name
Master of Science in Hotel Administration
Department
Hotel Administration
First Committee Member
A.K. Singh, Chair
Second Committee Member
Bo Bernhard
Third Committee Member
Anthony Lucas
Graduate Faculty Representative
Rohan Dalpatadu
Number of Pages
58
Abstract
Linear programming is a tool that has been successfully applied to various problems across many different industries and businesses. However, it appears that casino operators may have overlooked this useful and proven method. At most casino properties the bulk of gaming revenues are derived from slot machines. It is therefore imperative for casino operators to effectively manage and cultivate the performance of this department. A primary task for the casino operator is planning and deciding the mix of slot machines in order to maximize performance.
This paper presents the task of optimizing the casino slot floor as a linear programming problem. The method has been applied to data supplied by a Las Vegas repeater market hotel casino. Two models were developed, and both produced results improving the performance of the casino slot floor. The research provides casino operators with a systematic method that will help analyze and enhance their slot operations.
Keywords
Casinos; Gambling industry; Gaming; Hospitality industry; Linear Programming; Optimization; Slot Floor; Slot machines
Disciplines
Applied Mathematics | Gaming and Casino Operations Management | Hospitality Administration and Management | Technology and Innovation
File Format
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Ghaharian, Kasra Christopher, "A Mathematical approach for optimizing the casino slot floor: A linear programming application" (2010). UNLV Theses, Dissertations, Professional Papers, and Capstones. 716.
http://dx.doi.org/10.34917/1945375
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Included in
Applied Mathematics Commons, Gaming and Casino Operations Management Commons, Technology and Innovation Commons