A soft systems approach to input distribution estimation for a non-stationary demand process

Author

Pardue, J. Harold ; Landry, Jeffrey P. ; Clark, Thomas D., Jr.

Author_Institution

Dept. of Inf. & Manage. Sci., Florida State Univ., Tallahassee, FL, USA

fYear

1995

fDate

3-6 Dec 1995

Firstpage

982

Lastpage

987

Abstract

A soft systems methodology is undertaken to develop a design for a communications system to support a political campaign. The focus is on the methodology to estimate an input distribution for a SLAM-based simulation model. Two problems-the lack of referent system data and the expectation of non-stationary system demand-indicate a need for a soft systems approach. The results of this study suggest that the approach is effective for estimating an input distribution for simulation analysis. The case provides an example of the contrast between the soft systems and hard systems approaches

Keywords

digital simulation; politics; systems analysis; telecommunication computing; SLAM-based simulation model; communications system; input distribution estimation; nonstationary demand process; political campaign; referent system data; simulation analysis; soft systems approach; Analytical models; Data analysis; Educational institutions; Information management; Problem-solving; Resource management; State estimation; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1995. Winter

Conference_Location

Arlington, VA

Print_ISBN

0-78033018-8

Type

conf

DOI

10.1109/WSC.1995.478888

Filename

478888