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

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-stat...

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Bibliographic Details
Main Authors: Pardue, J. Harold, Landry, Jeffrey P., Clark, Thomas D.
Format: Conference Proceeding
Language:English
Subjects:
Computer systems organization > Dependable and fault-tolerant systems and networks > Availability
Computer systems organization > Dependable and fault-tolerant systems and networks > Maintainability and maintenance
Computer systems organization > Dependable and fault-tolerant systems and networks > Reliability
Computer systems organization > Embedded and cyber-physical systems
Computer systems organization > Real-time systems
Computing methodologies > Modeling and simulation
Computing methodologies > Modeling and simulation > Simulation types and techniques
General and reference > Cross-computing tools and techniques > Reliability
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Summary: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.
DOI:10.1145/224401.224761