RISK AND CHANGE MANAGEMENT

IN COMPLEX SYSTEMS


 

 

RISK AND CHANGE MANAGEMENT IN COMPLEX SYSTEMS

 

"The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man. “

-George Bernard Shaw

 

Adapting the world to ourselves has yielded in increasing considerably the complexity of our systems, implying the need to increase accordingly our capacity to design and manage such complex systems. This capacity is linked to the development of methods and tools supporting and enhancing this adaptation.

Dependency and Structure Modelling (DSM) techniques support complex system design by focusing attention on system elements and their interdependencies related to all domains: product, process and organization. For this 2014 edition, we would like to invite original scholarly work related to modeling, analysis and prediction of risk and change management in complex systems.

Emergence is one of complex system properties stemming from its’ complexity, whether desired or not. This complexity makes it difficult to anticipate potential propagation of events, initiated or emergent, and to anticipate global consequences of decisions. Emergence irreducibility implies the need to develop approaches that will support risk and change management in complex system design.

System and DSM-alike approaches contribute to developing methods and tools to support mastering the amount of information required to better understand, design and manage complex systems. Modeling complex systems using DSM-based principles enables anticipating the potential behavior of this system and supporting decision-making.