Franck MARLE (MSc of industrial engineering, Ecole Centrale Lyon, 1997; PhD in project management, Ecole Centrale Paris, 2002) is associate professor in project management at Ecole Centrale Paris for 14 years. He was founder and head of the Project Management Research Group in the Industrial Engineering Laboratory, now transformed into the Risk Management Team. He made his PhD at Ecole Centrale Paris in 2002 about interactions modeling in PSA Peugeot-Citroën internal projects. He is now conducting research works about risk modeling in projects, interactions modeling and assessment, and decision-making in project and multi-projects context.

Ludovic-Alexandre VIDAL holds a Ph.D. in industrial engineering. He works as a researcher and teacher (assistant professor) at Ecole Centrale Paris. His research interests are project management, risk management and complex systems. His professional experience includes different industrial domains such as energy, civil engineering, NGOs and the performing arts industry.

Develops, improves and strengthens the reader's knowledge and skills in project management

Introduction to project management.- Traditional approaches and tools for project management.- Understanding the complexity of projects.- Managing complex projects through risks : a change of paradigm.- Conclusions and perspectives.

Maximizing reader insights into project management and handling complexity-driven risks, this book explores propagation effects, non-linear consequences, loops, and the emergence of positive properties that may occur over the course of a project.
This book presents an introduction to project management and analysis of traditional project management approaches and their limits regarding complexity. It also includes overviews of recent research works about project complexity modelling and management as well as project complexity-driven issues. 
Moreover, the authors propose their own new approaches, new methodologies and new tools which may be used by project managers and/or researchers and/or students in the management of their projects. These new elements include project complexity definitions and frameworks, multi-criteria approaches for project complexity measurement, advanced methodologies for project management (propagation studies to anticipate potential behaviour of the project, and clustering approaches to improve coordination between project actors) and industrial case studies (automotive industry, civil engineering, railroad industry, performing arts,...) and exercises (with their solutions) which will allow readers to improve and strengthen their knowledge and skills in the management of complex and (thus) risky projects.