Statistical Techniques for Project Control

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A01=Adedeji B. Badiru
A01=Tina Agustiady
advanced statistical project control strategies
ANOVA Method
Arithmetic Gradient
Author_Adedeji B. Badiru
Author_Tina Agustiady
average
Category=KJMP
chart
Control Chart
cost
CPM
CPM Network
cumulative
Cumulative Average Cost
Cycle Time
Earliest Completion Time
Earliest Starting Time
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fundamentals of Project Management
Gantt Chart
General Beta Distribution
hypothesis
Latest Completion Time
Latest Starting Time
lean project management
Learning Curve Model
LSL
management
normal
PDM Network
performance measurement techniques
plot
Present Worth
probability
Project Control
Project Duration
Project Performance Control
Project Quality Control
project scheduling methods
Project Time Control
quantitative risk analysis
Ra Ct Er
six sigma applications
statistical quality improvement
Statistics for Project Control
Subgroup Sample Size
Takt Time
TS
Uniform Series
X-bar Chart

Product details

  • ISBN 9781420083170
  • Weight: 890g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Jan 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Adedeji B. Badiru, Tina Agustiady

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