Managing complexity in organisations

George Rzevski
26 January 2015

Managing the complexity of the internet-based global market. During the last 20 years, the complexity of the Internet-based global market has increased to such extend that many conventional resource-allocation systems have difficulty in coping with the increased demand/supply dynamics.

The talk will focus on new methods for managing complexity of the Internet-based global market based on concepts of adaptability and real-time decision making. Conceptual considerations will be illustrated by practical examples of applications. 

George will also outline his personal view on how newly developing Complex Systems Science fits into well-established Systems Thinking.

George Rzevski is Emeritus Professor, Complexity Science and Design Group at The Open University, Milton Keynes, UK. Until 1999 George was a full-time academic and Professor in Department of Design and Innovation at The Open University, Milton Keynes, where he was Director, Centre for the Design of Intelligent Systems. His Centre was well funded by grants from government and industry and his department was rated 5 out of 5 in the two UK Research Assessment Exercises. 

As a tribute to his successful research career, the university recently established “The George Rzevski Complexity Laboratory”. 

 

Upon retiring as full-time professor, George founded a number of companies in the UK, USA, Germany and Russia, specialising in developing and marketing large-scale multi-agent software systems for applications such as: adaptive logistics, real-time supply chain scheduling, real-time project management, dynamic data mining, adaptive semantic processing and engineering design. In March this year, he published, with his close collaborator, Petr Skobelev, a book summarising 15 years of their entrepreneurial activities entitled Managing Complexity (WIT Press, Southampton, UK, and Boston, USA). The book contains conceptual foundations of complexity science illustrated by a large number of solutions to complex commercial problems.