"Modelling Complex Projects" ist das erste Buch, das sich ausschließlich mit dem Thema Projektmodellierung beschäftigt. Es enthält verschiedene Ansätze zur Projektmodellierung, die einen guten und systematischen Überblick geben. Behandelt wird eine breite Palette wirkungsvoller Modellierungstechniken, wobei auch auf ihre jeweiligen Vorteile und Kombinationsmöglichkeiten eingegangen wird. Mit zahlreichen Fallstudien. Es ist allgemein bekannt, dass die traditionellen Methoden des Projektmanagment für die Bewältigung der modernen Projektsituation nicht mehr ausreichen. Heute werden Projekte…mehr
"Modelling Complex Projects" ist das erste Buch, das sich ausschließlich mit dem Thema Projektmodellierung beschäftigt. Es enthält verschiedene Ansätze zur Projektmodellierung, die einen guten und systematischen Überblick geben. Behandelt wird eine breite Palette wirkungsvoller Modellierungstechniken, wobei auch auf ihre jeweiligen Vorteile und Kombinationsmöglichkeiten eingegangen wird. Mit zahlreichen Fallstudien.Es ist allgemein bekannt, dass die traditionellen Methoden des Projektmanagment für die Bewältigung der modernen Projektsituation nicht mehr ausreichen. Heute werden Projekte immer komplexer, und die Kunden geben einen immer enger gesteckten Zeitrahmen vor. Entsprechend gilt es, Probleme, wie z.B. unzureichende Planung und Risikoanalyse, unwirksame Projektüberwachung und -steuerung sowie wenig fundierte nachträgliche Analysen von vornherein zu vermeiden. Dieses Buch hilft Ihnen dabei! "Modelling Complex Projects" ist das erste Buch, das sich ausschließlich mit dem Thema Projektmodellierung beschäftigt. Es vermittelt wirkungsvolle Modellierungstechniken, die der besonderen Komplexität moderner Projekte gerecht werden. Diskutiert wird eine breite Palette neuer Techniken, wobei auch auf ihre jeweiligen Vorteile und Kombinationsmöglichkeiten eingegangen wird. Mit zahlreichen Fallstudien.
Terry Williams once believed he couldn't live happy, joyous, and free every day of his life. As his relationship with his Heavenly Father has grown he now knows he can. He is committed to speaking and writing books so that others can learn to live every day in what Terry calls divine carelessness. Just as any loving parent would desire that their children live free from worry, doubt, fear, anxiety, and etc. If they will trust the Lord more than they do themselves (Proverbs 3), they too can live happy, joyous, free, peaceful, purposeful, and oh so powerful everyday lives.
Inhaltsangabe
1. This book. Introduction to the book and the author. Why is there a need for this book? The structure of this book. What do I need to know before I read this book? Conclusion. 2. Projects. What is a project? What are project objectives? Basic project management techniques. Projects referred to in this book. Conclusion. 3. Modelling. What is a model? Why do we model? Modelling in practice. Validation. Conclusion. 4. What is a complex project? Introduction. What is complexity? Structural complexity. What is complexity? Uncertainty. What is complexity? Summary. Increasing complexity. Tools and techniques-and the way ahead. 5. Discrete effects and uncertainty. Introduction. Uncertainty and risk in projects. Cost risk: additive calculations. Time risk: effects in a network. Analysing time risk: simulation. Criticality and cruciality. The three criteria and beyond. Conclusion. 6. Discrete effects: collecting data. Introduction. Collecting subjective data: identification. Collecting subjective data: general principles of quantification. Collecting subjective data: simple activity-duration models. Effect of targets. Conclusion. 7. The soft effects. Introduction. Some key project characteristics. Client behaviour and external effects on the project. Management decisions. Project staffing. Subjective effects within the project. Summary and looking forward. 8. Systemic effects. The effects. A brief introduction to cause mapping. Qualitative modelling: simple compounding. Qualitative modelling: loops. Quantitative modeling. 9. System dynamics modeling. Introduction to system dynamics. Using system dynamics with mapping. Elements of models. Production elements. Other elements. Managerial actions. How effects compound. Validation. Conclusion. 10. Hybrid methods: the way forward? Introduction. Adapting standard models using lessons learned from SD. Using conventional tools to generate SD models. Using SD and conventional models to inform each other. Extending SD: discrete events and stochastic SD. The need for intelligence. Conclusion. 11. The role of the modeler. Introduction. Project management. What makes a good modeller? Stages of project modeling. Chapter summary. 12. Conclusion. Appendix: Extension of time claims. References. Index.
1. This book. Introduction to the book and the author. Why is there a need for this book? The structure of this book. What do I need to know before I read this book? Conclusion. 2. Projects. What is a project? What are project objectives? Basic project management techniques. Projects referred to in this book. Conclusion. 3. Modelling. What is a model? Why do we model? Modelling in practice. Validation. Conclusion. 4. What is a complex project? Introduction. What is complexity? Structural complexity. What is complexity? Uncertainty. What is complexity? Summary. Increasing complexity. Tools and techniques-and the way ahead. 5. Discrete effects and uncertainty. Introduction. Uncertainty and risk in projects. Cost risk: additive calculations. Time risk: effects in a network. Analysing time risk: simulation. Criticality and cruciality. The three criteria and beyond. Conclusion. 6. Discrete effects: collecting data. Introduction. Collecting subjective data: identification. Collecting subjective data: general principles of quantification. Collecting subjective data: simple activity-duration models. Effect of targets. Conclusion. 7. The soft effects. Introduction. Some key project characteristics. Client behaviour and external effects on the project. Management decisions. Project staffing. Subjective effects within the project. Summary and looking forward. 8. Systemic effects. The effects. A brief introduction to cause mapping. Qualitative modelling: simple compounding. Qualitative modelling: loops. Quantitative modeling. 9. System dynamics modeling. Introduction to system dynamics. Using system dynamics with mapping. Elements of models. Production elements. Other elements. Managerial actions. How effects compound. Validation. Conclusion. 10. Hybrid methods: the way forward? Introduction. Adapting standard models using lessons learned from SD. Using conventional tools to generate SD models. Using SD and conventional models to inform each other. Extending SD: discrete events and stochastic SD. The need for intelligence. Conclusion. 11. The role of the modeler. Introduction. Project management. What makes a good modeller? Stages of project modeling. Chapter summary. 12. Conclusion. Appendix: Extension of time claims. References. Index.
Rezensionen
"...provides a lot of useful information about model building in general." ( Project Net , April 2004) "...an essential resource for those required to model how a project may behave under certain circumstances..." ( Jnl of the Operation Research Society , Vol 54(12), 2004)
"...well conceived, well written, and well produced..." ( Chemistry World , 1 Feb 2004)
"...a strong practical streak pervades this book..." (Jnl of the Operation Research Society, Vol.54, No. 12, 2004)
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