IE 453 Exam 1 Simulation and Modeling Assessment: Discrete Event Simulation,
Queuing Theory, Value Stream Mapping, 3D Modeling (SolidWorks), System
Representation, Entity Attributes, Operating Parameters, Resources and
Activities, Event Calendars, Random Number Generation, Statistical Uniformity,
Cycle Length and Modulus, Random Number Streams, Model Verification and
Validation, Face Validity, Sensitivity Analysis, Objective and Subjective Testing,
Input Data Analysis (Existing and Proposed Systems), Distribution Definition,
Observation-Based and Time-Persistent Measures, Terminating vs Non-
Terminating Systems, Relative Precision Stopping Rules, Variance Reduction
Techniques (Common Random Numbers), ANOVA, Forecasting, Vendor
Specifications, Process Flow Optimization, Lateness Metrics, Performance
Measures, Simulation Output Analysis, and Error Estimation (SMORE) Exam
Questions Verified and Provided with Complete A+ Graded Rationales Latest
Updated 2026
Modeling Examples
-Queuing Theory
-Financial Models
-Value Stream Mapping
-Analytical/Probability
-3D Model Solidworks
, System
A group of objects joined together in some interaction toward the accomplishment of some
purpose
Model
Representation of the real world
Benefits of Simulation
Allows to see solidification pattern for particular mold
-Saves Time, material and money
Discrete Event Simulation
Creating computer-based model of real or proposed system for purpose of evaluating system
behavior for set of conditions
What can't simulation do
Automatically optimize system you're studying
Why Discrete Event Simulation?
-for complex systems
-manufacturing plants, hospital, amusement parks
Queuing Theory, Value Stream Mapping, 3D Modeling (SolidWorks), System
Representation, Entity Attributes, Operating Parameters, Resources and
Activities, Event Calendars, Random Number Generation, Statistical Uniformity,
Cycle Length and Modulus, Random Number Streams, Model Verification and
Validation, Face Validity, Sensitivity Analysis, Objective and Subjective Testing,
Input Data Analysis (Existing and Proposed Systems), Distribution Definition,
Observation-Based and Time-Persistent Measures, Terminating vs Non-
Terminating Systems, Relative Precision Stopping Rules, Variance Reduction
Techniques (Common Random Numbers), ANOVA, Forecasting, Vendor
Specifications, Process Flow Optimization, Lateness Metrics, Performance
Measures, Simulation Output Analysis, and Error Estimation (SMORE) Exam
Questions Verified and Provided with Complete A+ Graded Rationales Latest
Updated 2026
Modeling Examples
-Queuing Theory
-Financial Models
-Value Stream Mapping
-Analytical/Probability
-3D Model Solidworks
, System
A group of objects joined together in some interaction toward the accomplishment of some
purpose
Model
Representation of the real world
Benefits of Simulation
Allows to see solidification pattern for particular mold
-Saves Time, material and money
Discrete Event Simulation
Creating computer-based model of real or proposed system for purpose of evaluating system
behavior for set of conditions
What can't simulation do
Automatically optimize system you're studying
Why Discrete Event Simulation?
-for complex systems
-manufacturing plants, hospital, amusement parks
