Managing Complex, High Risk Projects [recurso electrónico] : A Guide to Basic and Advanced Project Management / by Franck Marle, Ludovic-Alexandre Vidal.
Tipo de material: TextoEditor: London : Springer London : Imprint: Springer, 2016Descripción: XI, 273 p. 109 illus., 37 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781447167877Tema(s): Engineering | Tax accounting | Tax laws | Organization | Planning | Operations research | Decision making | Industrial engineering | Production engineering | Engineering | Industrial and Production Engineering | Business Taxation/Tax Law | Operation Research/Decision Theory | OrganizationFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 670 Clasificación LoC:T55.4-60.8Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
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.