In recent years, the need for help in understanding project behaviour has been exacerbated, as projects have become more complex while time-scales have tightened, adding to project complexity. Project teams however, rarely pay sufficient attention to modelling the behaviour of projects and this can lead to inadequate risk analysis, ineffective project control, and uninformed "lessons learned".
Because the behaviour of complex projects is often puzzling, or counter-intuitive, we need models. This book presents a structured toolkit of techniques, developed gradually from the simple to the more complex, and provides examples to show where, when and why the techniques should be used. It looks at what causes project complexity, describes various aspects of project behaviour and develops modelling tools.
Starting with more traditional techniques modelling individual effects on projects, giving a full treatment (including some novel network concepts) the book enables readers to build breakdown - and network - type models. It also considers some of the more difficult aspects of modelling by moving into the "softer", more subjective, effects and then looking at systemic models of the effects as they come together. Finally, it looks at various methods of developing hybrid tools, to utilise the benefits of combinations of techniques.
Based on a wealth of practical experience and bringing together a range of tried and tested techniques, this book explains where the use of modelling can help estimate, monitor, control and analyse projects and thus lead to successful implementation.
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