WSC 2005

WSC 2005 Final Abstracts

General Applications A Track

Wednesday 10:30:00 AM 12:00:00 PM
General Applications of Simulation II

Chair: Rick Wilson (Oklahoma State University)

Integration Study of Prospective Hazards Models for the Enhancement of a Virtual Range Simulation Model
Serge N. Sala-Diakanda, Luis Rabelo, Sergio A. Rosales, Luis F. Robledo, and Jose A. Sepúlveda (University of Central Florida) and Jeppie Compton (NASA Kennedy Space Center)

This paper describes our progresses toward enhancing a Virtual Range (VR) for space launch modeling capability. The VR discussed in this paper is a range safety simulation environment. It is capable of determining the expectation of casualties (EC) resulting from the toxic effects of gas dispersion caused by a failed space launch and subsequent explosion (accidental or instructed) of a spacecraft (the Space Shuttle in this instance) shortly after liftoff. In addition to the above, we are currently rendering the VR capable of also determining the EC resulting from falling debris and blast overpressure propagation, which are the others two major hazards resulting from a spacecraft explosion. We also investigate two data fusion approaches to estimate the EC resulting from the combined effects of the three hazards mentioned above, as their effects may not necessarily be independent of each other.

Validating a Division I-A College Football Season Simulation System
Rick L. Wilson (Oklahoma State University)

NCAA Division I-A college football remains the only major collegiate sport not to have a true playoff to determine its national champion. A controversial and flawed process termed the Bowl Championship Series (BCS) has emerged with the goal of matching two teams in a so-called ‘national championship’ game. The BCS has employed a varied set of computer-based ranking models to help determine the two participants. The effectiveness of these computer models has never been empirically investigated in a controlled setting. This paper presents the development of a controlled test-bed of simulated college football seasons, a necessary preliminary step. A simulation model is developed and validated against past college football season data. Results show promise. It is hoped that this simulation process will allow future systematic study of the various mathematical models used to rank football teams.

Simulation as Support for Production Planning in Small and Medium Enterprise: A Case Study
Roberto Revetria, Roberto Mosca, Lucia Cassettari, and Gianluca Magro (University of Genoa)

The proposed application is related to an Italian small factory that produces, assembles, and sells mechanical components for awnings. A general-purpose simulation framework was designed enabling model self-build according to production process information stored in a relational database. Moreover, the simulation model was used in conjunction with a statistical analysis tool in order to build the relationship among selected parameters and the proposed objective function by mean of Response Surface Methodology and 2nd order regressions meta-models. Obtained output including a set of “control curves” is able to explain to managers and decision makers the behavior of the systems as well as serve as test bed for process improvement. The authors applied the proposed schema to several industrial applications obtaining interesting results.