CAP-0384 · Academic analytical method
CAPABILITY SUBJECT 59
Stochastic Models and Uncertainty Analytics
Open an entry to see its technical meaning, associated activities, and related cases.
Complete Subject Index
CAP-0385 · Academic analytical method
Apply Poisson-Process Reasoning to Arrivals and Workload Variability ↗
CAP-0386 · Academic analytical method
Use Markov-State Transitions and Steady-State Availability Concepts for Operating/CIP/Fault States ↗
CAP-0387 · Academic analytical method
Apply Queueing Concepts and Little’s Law to Throughput, Cycle Time, WIP, Congestion, and Blocking ↗
CAP-0388 · Academic analytical method
Compare Uncertainty Scenarios, Risk Exposure, Staffing Needs, Redundant Capacity, and Expected Avoided Loss ↗
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- Stochastic Models and Uncertainty AnalyticscontainsEvaluate Uncertainty and Event Likelihood
- Stochastic Models and Uncertainty AnalyticscontainsModel Arrivals and Workload Variability
- Stochastic Models and Uncertainty AnalyticscontainsAnalyze Operating States and Equipment Availability
- Stochastic Models and Uncertainty AnalyticscontainsAnalyze Queues, Throughput and Work in Process
- Stochastic Models and Uncertainty AnalyticscontainsCompare Operating-Risk and Capacity Scenarios
Analytical Methods & Quantitative Decision Support
Probability, expected value, variance and covariance help describe uncertain demand, failures and schedule exposure. Event-arrival models, state-transition models and queueing relationships connect operating variability with staffing, availability, cycle time and work in process. Scenario analysis makes the consequences of assumptions visible before a commitment is made.