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Winner of the IIE Book of the Month for June 2012
A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrates qualitative and quantitative tools and techniques for project control. It fills the void that exists in the application of statistical techniques to project control.
The book begins by defining the fundamentals of project management then explores how to temper quantitative analysis with qualitative human judgment that makes project control nebulous but also offers opportunities to innovate and be creative in achieving control. The authors then discuss the three factors (time, budget, and performance) that form the basis of the operating characteristics of a project that also help determine the basis for project control. They then focus on computational network techniques for project schedule (time) control.
Although designed as a practical guide for project management professionals, the book also appeals to students, researchers, and instructors.
List of contents
Fundamentals of Project Management. Statistics for Project Control. Project Time Control. Project Performance Control. Project Cost Control. Project Quality Control. Lean Principles for Project Control. Six Sigma and Statistical Modeling. Project Control Case Studies. Management Support for Project Control. Appendix: Useful Statistical Distributions. Index.
About the author
Adedeji B. Badiru, Tina Agustiady
Summary
A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. This book fills the void that exists in the application of statistical techniques to project control. Althoug
