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A Framework for Analysis, Design and Management of Complex Large-Scale Interconnected Open Sociotechnological Systems

A Framework for Analysis, Design and Management of Complex Large-Scale Interconnected Open Sociotechnological Systems

Ali Mostashari, Joseph M. Sussman
Copyright: © 2009 |Volume: 1 |Issue: 2 |Pages: 16
ISSN: 1941-6296|EISSN: 1941-630X|ISSN: 1941-6296|EISBN13: 9781615202188|EISSN: 1941-630X|DOI: 10.4018/jdsst.2009040104
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MLA

Mostashari, Ali, and Joseph M. Sussman. "A Framework for Analysis, Design and Management of Complex Large-Scale Interconnected Open Sociotechnological Systems." IJDSST vol.1, no.2 2009: pp.53-68. http://doi.org/10.4018/jdsst.2009040104

APA

Mostashari, A. & Sussman, J. M. (2009). A Framework for Analysis, Design and Management of Complex Large-Scale Interconnected Open Sociotechnological Systems. International Journal of Decision Support System Technology (IJDSST), 1(2), 53-68. http://doi.org/10.4018/jdsst.2009040104

Chicago

Mostashari, Ali, and Joseph M. Sussman. "A Framework for Analysis, Design and Management of Complex Large-Scale Interconnected Open Sociotechnological Systems," International Journal of Decision Support System Technology (IJDSST) 1, no.2: 53-68. http://doi.org/10.4018/jdsst.2009040104

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Abstract

Standard systems engineering processes, such as the ANSI/EIA 632 or the ISO/IEC 15288 process standards, are primarily geared towards systems with homogenous stakeholders and few tightly coupled non-linear interactions within and between physical subsystems. When dealing with Complex, Large-scale, Interconnected, Open, Sociotechnological (CLIOS) systems such as the national power grid, regional transportation systems, the world wide web or the air traffic control system or other systems with wide-ranging social and environmental impact, there is a need for a new framework that takes into consideration the physical and institutional system complexities and their respective interactions in an iterative and adaptive manner. This paper presents a 12-step framework for concurrent analysis, design and management of coupled complex technological and institutional systems in the face of uncertainty. The framework can be used to analyze a CLIOS system’s underlying structure and behavior, to explore different design options in the face of uncertainty, and to identify and deploy strategic alternatives for improving the system’s performance.

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