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Rethinking Earned Value & Schedule Management on Construction Projects: Solving the World's Construction Performance Problem (en Inglés)
J. Gerard Boyle
(Autor)
·
FriesenPress
· Tapa Blanda
Rethinking Earned Value & Schedule Management on Construction Projects: Solving the World's Construction Performance Problem (en Inglés) - Boyle, J. Gerard
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Origen: Estados Unidos
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Reseña del libro "Rethinking Earned Value & Schedule Management on Construction Projects: Solving the World's Construction Performance Problem (en Inglés)"
This is an essential, groundbreaking book for public and private buyers of construction, contractors and sub-contractors, designers, project managers, lawyers, Earned Value specialists, forensic claims analysts, schedulers, dispute resolution experts, academics, and anyone interested in improving performance and productivity on construction projects. Among the topics discussed are the following: - Exhaustive critique of existing Earned Value analysis that compels changes to current theory and practice- New Earned Value analytics for construction, integrated with resource-loaded CPM schedules represent a paradigm change- Worked examples of resource-loaded CPM schedules using the new EV Performance analytics- Identification of reliable performance thresholds for progress, productivity and resources- Understanding the interconnection of progress and productivity and performance patterns over time- How to create meaningful, resource-loaded, CPM schedules- Analyzing schedule float in concert with the new analytics- Why current cause and effect delay analysis is fundamentally flawed because it ignores root causes - Why delay claim analysis must always account for productivity- The problem common to all contract delivery methods and how to correct it- Why construction projects fail - Specific steps in creating a successful construction program- Game theoretical & other approaches to implementing a performance-based system- Using commercial dispute resolution to contemporaneously resolve claims and improve performance going forward- The importance of probabilistic (Monte Carlo) schedule analysis & problems with current practic
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