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Sensitivity of earned value schedule forecasting to S-curve patterns
Byung Cheol Kim
, Hyung Jin Kim
Black School of Business (Behrend)
Research output
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Contribution to journal
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Article
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peer-review
25
Scopus citations
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Dive into the research topics of 'Sensitivity of earned value schedule forecasting to S-curve patterns'. Together they form a unique fingerprint.
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Keyphrases
Curve Pattern
100%
S-curve
100%
Schedule Forecasting
100%
Earned Value
100%
Nonlinearity
66%
Forecasting Techniques
66%
Deterministic Method
66%
Probabilistic Method
66%
Schedule Delay
66%
Delay Patterns
66%
Progress Curve
66%
Sensitivity Analysis
33%
Valuable Insight
33%
False Alarm
33%
Informed Decision-making
33%
Management Literature
33%
Practical Guidance
33%
Prediction Accuracy
33%
Project Duration
33%
Earned Value Method
33%
Control Actions
33%
Project Schedule
33%
Kalman Filter
33%
Warning Signs
33%
Schedule Control
33%
Earned Value Management
33%
Planned Value
33%
Relative Robustness
33%
Duration Forecasting
33%
Forecast Signals
33%
Sanity Checks
33%
Engineering
Probabilistic Method
100%
Schedule Delay
100%
Kalman Filter
50%
Control Action
50%
Project Schedule
50%
Schedule Control
50%
Economics, Econometrics and Finance
Nonlinearity
100%
Value Analysis
50%
State Space Model
50%