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Earned Schedule Application Handbook

Earned Schedule Application Handbook in Bloomington, MN
Current price: $25.00
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Size: Paperback
The Earned Schedule Application Handbook
is intended for project managers, engineers, and performance analysts who use Earned Value Management (EVM) with Earned Schedule (ES) for the purpose of project control.
ES is an integral component of EVM providing the capability of time-based management and control of schedule performance. ES is included in the Project Management Institute publication,
The Standard for Earned Value Management
, and notably, in the International Standards Organization publication, ISO 21508:2018,
Earned Value Management in Project and Programme Management
.
is intended to promote interest in the use of the advanced Earned Schedule (ES) analysis methods. Advanced topics include: statistical forecasting, prediction analysis, schedule adherence, rework, project interruption, project recovery, and milestone management.
Each section of
simplifies the various methods, connecting the project performance data to the freely available calculation aids and then to the subsequent presentation for analysis and decision making. The use of the ES advanced methods provides significantly greater insight to the control of the project schedule. With increased application, there is a corresponding increase in successful projects.
is intended for project managers, engineers, and performance analysts who use Earned Value Management (EVM) with Earned Schedule (ES) for the purpose of project control.
ES is an integral component of EVM providing the capability of time-based management and control of schedule performance. ES is included in the Project Management Institute publication,
The Standard for Earned Value Management
, and notably, in the International Standards Organization publication, ISO 21508:2018,
Earned Value Management in Project and Programme Management
.
is intended to promote interest in the use of the advanced Earned Schedule (ES) analysis methods. Advanced topics include: statistical forecasting, prediction analysis, schedule adherence, rework, project interruption, project recovery, and milestone management.
Each section of
simplifies the various methods, connecting the project performance data to the freely available calculation aids and then to the subsequent presentation for analysis and decision making. The use of the ES advanced methods provides significantly greater insight to the control of the project schedule. With increased application, there is a corresponding increase in successful projects.