what-when-how
In Depth Tutorials and Information
However, the choice of systems boundary for the physical domain will affect our
choice of boundary for the institutional sphere, and vice versa.
Recently, there have been important attempts at looking at complex CLIOS-
type systems from a holistic, enterprise perspective (Swartz and DeRosa, 2006).
here has been a recognition on behalf of systems engineering practitioners that
standard processes need to be adapted based on insights from complexity science,
and various principles for incorporating complexity as a consideration within such
processes have been proposed (Sheard and Mostashari, 2009). One of the most
important developments in this area was the definition of a research agenda for
ComplexEngineered,OrganizationalandNaturalSystems
by over 50 thought lead-
ers in complexity (Rouse, 2007). In particular, with regard to particular CLIOS
Systems, there have been important studies looking at the analysis and design of
urban and regional transportation systems (Sussman, Sgoruidis and ward, 2004),
air combat systems (Kometer, 2005), maritime surveillance systems (Martin,
2004), lean manufacturing systems, aerospace systems design (McConnell, 2007),
regional energy systems design (Mostashari, 2005), nuclear waste transportation
and storage systems (Sussman, 2000), municipal electric utilities (Osorio Urzua,
2007), public-private partnerships in infrastructure development (Ward, 2005),
and environmental systems (Mostashari and Sussman, 2005) among others.
2.2.3.2 The CLIOS Process as a Conceptual Methodology
As an alternative systems design process for CLIOS Systems, this chapter proposes
the CLIOS process, a highly iterative and modular 12-step
conceptual
process for
concurrent analysis, design, and management of coupled complex technological
and institutional systems in the face of uncertainty. An overview of the CLIOS
process is presented, followed by papers exploring detailed applications in complex
large-scale engineering systems. As an engineering systems design, analysis, and
management process, the CLIOS process does not rely on a particular analysis
methodology or modeling tool. Rather similar to ANSI/EIA 632, it is a conceptual
process that can serve as an organizing framework for the design, analysis, and
management process of CLIOS systems.
2.2.3.3 Relationship to Other Quantitative and
Qualitative Systems Methodologies and Tools
As indicated, the CLIOS process is a conceptual framework and does not limit the
user to a particular methodology. As such, it allows for a variety of computational
(quantitative) or qualitative tools to be utilized for analyzing the physical domain
and the institutional sphere. Table 2.4 represents the variety of quantitative and
qualitative methodologies and tools that can be applied in the different steps of the
CLIOS process. his is not an exhaustive list but provides a starting point for the
user depending on the type of CLIOS system at hand.
