Paper Info
Title
Multi-Level Modeling Of Complex Socio-Technical Systems
Abstract
The application of multi-level modeling approaches to enterprise systems modeling can support leadership decision making for transformation of defense department operations. In particular, this paper presents a framework for modeling enterprise transformation applied to complex analysis of defense in an era of technology globalization. Large-scale public-private enterprises can generally be described as complex adaptive systems. Multi-level modeling of complex adaptive systems is considered as an approach to inform leadership of actions and consequences of decisions addressing transformative change. An example is elaborated for the domain of secure defense communications. A framework for modeling the secure communications enterprise presents an interesting case for exploration of both multi-level modeling approaches and potential policy guidance at a global level. Finally, the use of these types of models to enable policy exploration is illustrated for the particular case of counterfeit parts in the supply chain of military communication systems.The paper concludes with recommendations for further work in validating the modeling approach and application of the approach to a sample policy flight simulator representing counterfeit parts policy in military systems. (C) 2013 The Authors. Published by Elsevier B. V. and/or peer-review under responsibility of Georgia Institute of Technology
Year
DOI
Venue
2013
10.1016/j.procs.2013.01.119
2013 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH
Keywords
Field
DocType
Multi-level modeling, socio-technical systems, complex systems, enterprise systems
Data mining,Enterprise system,Integrated enterprise modeling,Computer science,Process modeling,Enterprise systems engineering,Systems modeling,Sociotechnical system,Complex adaptive system,Management science,Service-oriented modeling
Journal
Volume
ISSN
Citations 
16
1877-0509
11
PageRank 
References 
Authors
1.09
11
4
Name
Order
Citations
PageRank
Tom McDermott1112.78
William Rouse2131.49
Seymour Goodman3111.09
Margaret Loper4557.64