Decision analysis of complex systems

The rapid growth of technical possibilities, changes in the economic context, and the irruption of intelligent machines into organizations as fully-fledged players alongside human beings, are prompting us to create increasingly sophisticated systems. IT solution architectures are increasingly moving away from a centralized structure towards decentralized architectures, in order to better integrate into the organizational and operational reality of the company.

Accepting the participation of computers in the decision-making chain therefore requires designers of automated-computerized control systems, for both industrial and tertiary applications, to adopt new paradigms and new methods of analysis and design.

The phenomena of organization, automation, information systems and cognitive sciences are closely interrelated, and can no longer be tackled with disparate approaches. As a result, the responsiveness, speed, flexibility and control of highly automated installations can only be achieved if they are built using methods capable of integrating and representing the whole:

• man and his behavior ;

• machine and its logic;

• organization and its information and management system.

In process control, the greater the involvement of intelligent machines, the more essential it becomes to integrate these three elements right from the design stage.

Decision Analysis provides a systemic, pragmatic response, based on a theoretical approach, formalized in the B-ADSc method: Bucki - Analyse Décisionnelle des Systèmes Complexes . In contrast to the predominant approaches, it focuses on the fundamental characteristic of any organization: its ability to make decisions concerning the processes it manages.